MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials

### Agentic AI and Agents Tutorials/Implementations and Notebooks ▶ Building a Stable Fable 5 Traces Workflow in Colab: Parsing Tool Calls, Auditing Data, and Training Baselines [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/fable5_agent_traces_colab_workflow_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/06/28/building-a-stable-fable-5-traces-workflow-in-colab-parsing-tool-calls-auditing-data-and-training-baselines/) ▶ Building Supervised Fine-Tuning Data from NVIDIA Open-SWE-Traces: Trajectory Parsing, Patch Analysis, Token Budgets, and Tool-Use Metrics [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/nvidia_open_swe_traces_agent_sft_data_pipeline.py) [Tutorial](https://www.marktechpost.com/2026/06/26/building-supervised-fine-tuning-data-from-nvidia-open-swe-traces-trajectory-parsing-patch-analysis-token-budgets-and-tool-use-metrics/) ▶ Build a Nanobot-Style AI Agent in Google Colab with Tool Calling, Session Memory, Skills, and MCP Servers [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/nanobot_style_personal_ai_agent_from_scratch_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/26/build-a-nanobot-style-ai-agent-in-google-colab-with-tool-calling-session-memory-skills-and-mcp-servers/) ▶ How to Design an OpenHarness Style Agent Runtime with Tools, Memory, Permissions, Skills, and Multi-Agent Coordination [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/openharness_agent_runtime_from_scratch_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/24/how-to-design-an-openharness-style-agent-runtime-with-tools-memory-permissions-skills-and-multi-agent-coordination/) ▶ Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/graphify_offline_code_knowledge_graph_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/24/using-graphify-and-networkx-to-map-python-codebase-structure-with-god-nodes-communities-and-architecture-visualizations/) ▶ Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20Workflows/crawlee_python_static_dynamic_web_crawling_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/20/crawlee-for-python-build-a-web-crawling-pipeline-with-robots-handling-link-graphs-and-rag-chunk-export/) ▶ NVIDIA SkillSpector Guide: Scanning AI Skills for Security Risks with Static Analysis and SARIF Reports [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/nvidia_skillspector_security_analysis_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/17/nvidia-skillspector-guide-scanning-ai-skills-for-security-risks-with-static-analysis-and-sarif-reports/) ▶ How to Build a QwenPaw Agent Workspace with Custom Skills, Model Providers, Console Access, and Streaming API Testing [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/qwenpaw_agent_workspace_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/13/how-to-build-a-qwenpaw-agent-workspace-with-custom-skills-model-providers-console-access-and-streaming-api-testing/) ▶ Microsoft Fara Tutorial: Run a Browser-Use Agent in Google Colab with a Mock OpenAI-Compatible Endpoint [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/microsoft_fara_colab_browser_agent_workflow_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/06/05/microsoft-fara-tutorial-run-a-browser-use-agent-in-google-colab-with-a-mock-openai-compatible-endpoint/) ▶ An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/microsoft_agent_governance_toolkit_policy_controls_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/31/an-implementation-of-the-microsoft-agent-governance-toolkit-for-safe-ai-agent-tool-use-with-policies-approvals-audit-logs-and-risk-controls/) ▶ Build Skill-Augmented AI Agents with SkillNet for Search, Evaluation, Graph Analysis, and Task Planning [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/skillnet_skill_augmented_agent_workflow_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/30/build-skill-augmented-ai-agents-with-skillnet-for-search-evaluation-graph-analysis-and-task-planning/) ▶ How to Use AgentTrove: Streaming 1.7M Agentic Traces and Building a Clean ShareGPT SFT Dataset in Python [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/agenttrove_streaming_trace_analysis_sft_preparation_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/29/how-to-use-agenttrove-streaming-1-7m-agentic-traces-and-building-a-clean-sharegpt-sft-dataset-in-python/) ▶ Build a SuperClaude Framework Workflow with Commands, Agents, Modes, and Session Memory [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/superclaude_framework_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/23/build-a-superclaude-framework-workflow-with-commands-agents-modes-and-session-memory/)[](https://colab.research.google.com/github/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/superclaude_framework_tutorial_Marktechpost.ipynb) ▶ A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator's Garry Tan for AI Agents [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/gbrain-tutorial.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/22/a-step-by-step-coding-tutorial-to-implement-gbrain-the-self-wiring-memory-layer-built-by-y-combinators-garry-tan-for-ai-agents/) [](https://colab.research.google.com/github/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/gbrain-tutorial.ipynb) ▶ Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Deep%20Learning/openmythos_recurrent_depth_transformer_loop_scaled_reasoning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/22/build-recurrent-depth-transformers-with-openmythos-for-mla-gqa-sparse-moe-and-loop-scaled-reasoning/) ▶ How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/repowise_repository_code_intelligence_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/15/how-to-build-repository-level-code-intelligence-with-repowise-using-graph-analysis-dead-code-detection-decisions-and-ai-context/) ▶ Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/hybrid_memory_autonomous_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/12/build-a-hybrid-memory-autonomous-agent-with-modular-architecture-and-tool-dispatch-using-openai/) ▶ How to Build an Advanced Agentic AI System with Planning, Tool Calling, Memory, and Self-Critique Using OpenAI API [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/agentic_ai_planner_executor_critic_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/18/how-to-build-an-advanced-agentic-ai-system-with-planning-tool-calling-memory-and-self-critique-using-openai-api/) ▶ A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Memory/memori_agent_native_memory_infrastructure_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/11/a-coding-implementation-to-build-agent-native-memory-infrastructure-with-memori-for-persistent-multi-user-and-multi-session-llm-applications/) ▶ How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/nadirclaw_cost_aware_llm_routing_tutorial.py) [Tutorial](https://www.marktechpost.com/2026/05/10/how-to-build-a-cost-aware-llm-routing-system-with-nadirclaw-using-local-prompt-classification-and-gemini-model-switching/) ▶ Build a CloakBrowser Automation Workflow with Stealth Chromium, Persistent Profiles, and Browser Signal Inspection [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/cloakbrowser_colab_browser_automation_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/07/build-a-cloakbrowser-automation-workflow-with-stealth-chromium-persistent-profiles-and-browser-signal-inspection/) ▶ A Groq-Powered Agentic Research Assistant with LangGraph, Tool Calling, Sub-Agents, and Agentic Memory: Lets Built It [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/groq_agentic_research_assistant_langgraph_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/06/a-groq-powered-agentic-research-assistant-with-langgraph-tool-calling-sub-agents-and-agentic-memory-lets-built-it/) ▶ How to Build a Fully Interactive Multi-Page NiceGUI Application with Real-Time Dashboard, CRUD Operations, File Upload, and Async Chat [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20Workflows/nicegui_full_app_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/06/how-to-build-a-fully-interactive-multi-page-nicegui-application-with-real-time-dashboard-crud-operations-file-upload-and-async-chat/) ▶ Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/skill_based_agent_system_llm_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/05/build-a-modular-skill-based-agent-system-for-llms-with-dynamic-tool-routing-in-python/) ▶ Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20Workflows/ai_agents_biological_systems_modeling_Marktechpost(1).ipynb) [Tutorial](https://www.marktechpost.com/2026/05/02/build-a-multi-agent-ai-workflow-for-biological-network-modeling-protein-interactions-metabolism-and-cell-signaling-simulation/) ▶ A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/hermes_agent_reasoning_traces_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/02/a-coding-implementation-to-parsing-analyzing-visualizing-and-fine-tuning-agent-reasoning-traces-using-the-lambda-hermes-agent-reasoning-traces-dataset/) ▶ A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/agentic_ui_protocols_to_pixels_deep_dive_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/30/a-coding-deep-dive-into-agentic-ui-generative-ui-state-synchronization-and-interrupt-driven-approval-flows/) ▶ Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Memory/rl_agent_memory_retrieval_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/04/27/build-a-reinforcement-learning-powered-agent-that-learns-to-retrieve-relevant-long-term-memories/) ▶ How to Design a Production-Grade CAMEL Multi-Agent System with Planning, Tool Use, Self-Consistency, and Critique-Driven Refinement [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Codes/camel_multi_agent_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/22/how-to-design-a-production-grade-camel-multi-agent-system-with-planning-tool-use-self-consistency-and-critique-driven-refinement/) ▶ How to Build a Universal Long-Term Memory Layer for AI Agents Using Mem0 and OpenAI [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/Agentic%20AI%20Memory/mem0_universal_memory_layer_agents_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/15/how-to-build-a-universal-long-term-memory-layer-for-ai-agents-using-mem0-and-openai/) ▶ A Coding Implementation to Build Multi-Agent AI Systems with SmolAgents Using Code Execution, Tool Calling, and Dynamic Orchestration [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/smolagents_advanced_multi_agent_orchestration_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/15/a-coding-implementation-to-build-multi-agent-ai-systems-with-smolagents-using-code-execution-tool-calling-and-dynamic-orchestration/) ▶ Google ADK Multi-Agent Pipeline Tutorial: Data Loading, Statistical Testing, Visualization, and Report Generation in Python [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/google_adk_multi_agent_data_analysis_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/13/google-adk-multi-agent-pipeline-tutorial-data-loading-statistical-testing-visualization-and-report-generation-in-python/) ▶ How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/openclaw_local_agent_runtime_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/11/how-to-build-a-secure-local-first-agent-runtime-with-openclaw-gateway-skills-and-controlled-tool-execution/) ▶ How to Combine Google Search, Google Maps, and Custom Functions in a Single Gemini API Call With Context Circulation, Parallel Tool IDs, and Multi-Step Agentic Chains [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/gemini3_tool_combination_maps_grounding_context_circulation_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/07/how-to-combine-google-search-google-maps-and-custom-functions-in-a-single-gemini-api-call-with-context-circulation-parallel-tool-ids-and-multi-step-agentic-chains/) ▶ How to Build Production-Ready Agentic Systems with Z.AI GLM-5 Using Thinking Mode, Tool Calling, Streaming, and Multi-Turn Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/glm5_agentic_systems_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/03/how-to-build-production-ready-agentic-systems-with-z-ai-glm-5-using-thinking-mode-tool-calling-streaming-and-multi-turn-workflows/) ▶ How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20Workflows/agentscope_production_agent_workflows_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/01/how-to-build-production-ready-agentscope-workflows-with-react-agents-custom-tools-multi-agent-debate-structured-output-and-concurrent-pipelines/) ▶ How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/a_evolve_openai_agent_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/31/how-to-build-and-evolve-a-custom-openai-agent-with-a-evolve-using-benchmarks-skills-memory-and-workspace-mutations/) ▶ How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/cai_cybersecurity_ai_agents_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/29/how-to-build-advanced-cybersecurity-ai-agents-with-cai-using-tools-guardrails-handoffs-and-multi-agent-workflows/) ▶ A Coding Guide to Exploring nanobot’s Full Agent Pipeline, from Wiring Up Tools and Memory to Skills, Subagents, and Cron Scheduling [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/nanobot_deep_dive_build_ai_agent_from_inside_out_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/28/a-coding-guide-to-exploring-nanobots-full-agent-pipeline-from-wiring-up-tools-and-memory-to-skills-subagents-and-cron-scheduling/) ▶ An Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/iwe_knowledge_graph_ai_agents_agentic_rag_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/27/an-implementation-of-iwes-context-bridge-as-an-ai-powered-knowledge-graph-with-agentic-rag-openai-function-calling-and-graph-traversal/) ▶ How to Build a Vision-Guided Web AI Agent with MolmoWeb-4B Using Multimodal Reasoning and Action Prediction [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/molmoweb_multimodal_web_agent_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/25/how-to-build-a-vision-guided-web-ai-agent-with-molmoweb-4b-using-multimodal-reasoning-and-action-prediction/) ▶ A Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/openspace_self_evolving_skill_evolution_engine_token_efficiency_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/24/a-coding-implementation-to-design-self-evolving-skill-engine-with-openspace-for-skill-learning-token-efficiency-and-collective-intelligence/) ▶ How to Design a Production-Ready AI Agent That Automates Google Colab Workflows Using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/MCP%20Codes/Wiring_AI_Agents_to_Google_Colab_MCP_Deep_Dive_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/23/how-to-design-a-production-ready-ai-agent-that-automates-google-colab-workflows-using-colab-mcp-mcp-tools-fastmcp-and-kernel-execution/) ▶ Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Reinforcement%20learning/rlax_dqn_cartpole_jax_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/22/implementing-deep-q-learning-dqn-from-scratch-using-rlax-jax-haiku-and-optax-to-train-a-cartpole-reinforcement-learning-agent/) ▶ A Coding Implementation Showcasing ClawTeam's Multi-Agent Swarm Orchestration with OpenAI Function Calling [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/ClawTeam_Agent_Swarm_Intelligence_OpenAI_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/20/a-coding-implementation-showcasing-clawteams-multi-agent-swarm-orchestration-with-openai-function-calling/) ▶ A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/openclaw_enterprise_ai_governance_gateway_approval_workflows_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/15/a-coding-implementation-to-design-an-enterprise-ai-governance-system-using-openclaw-gateway-policy-engines-approval-workflows-and-auditable-agent-execution/) ▶ How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/autoresearch_autonomous_ml_research_colab_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/12/how-to-build-an-autonomous-machine-learning-research-loop-in-google-colab-using-andrej-karpathys-autoresearch-framework-for-hyperparameter-discovery-and-experiment-tracking/) ▶ How to Design a Streaming Decision Agent with Partial Reasoning, Online Replanning, and Reactive Mid-Execution Adaptation in Dynamic Environments [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/streaming_decision_agent_online_replanning_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/11/how-to-design-a-streaming-decision-agent-with-partial-reasoning-online-replanning-and-reactive-mid-execution-adaptation-in-dynamic-environments/) ▶ How to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/meta_agent_auto_designer_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/10/how-to-build-a-self-designing-meta-agent-that-automatically-constructs-instantiates-and-refines-task-specific-ai-agents/) ▶ How to Build a Risk-Aware AI Agent with Internal Critic, Self-Consistency Reasoning, and Uncertainty Estimation for Reliable Decision-Making [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/critic_augmented_risk_aware_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/09/how-to-build-a-risk-aware-ai-agent-with-internal-critic-self-consistency-reasoning-and-uncertainty-estimation-for-reliable-decision-making/) ▶ Building Next-Gen Agentic AI: A Complete Framework for Cognitive Blueprint Driven Runtime Agents with Memory Tools and Validation [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/cognitive_blueprint_runtime_agents_auton_framework_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/07/building-next-gen-agentic-ai-a-complete-framework-for-cognitive-blueprint-driven-runtime-agents-with-memory-tools-and-validation/) ▶ How to Design an Advanced Tree-of-Thoughts Multi-Branch Reasoning Agent with Beam Search, Heuristic Scoring, and Depth-Limited Pruning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/tree_of_thoughts_multi_branch_reasoning_agent_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/05/how-to-design-an-advanced-tree-of-thoughts-multi-branch-reasoning-agent-with-beam-search-heuristic-scoring-and-depth-limited-pruning/) ▶ How to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/evermem_persistent_agent_os_faiss_sqlite_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/04/how-to-build-an-evermem-style-persistent-ai-agent-os-with-hierarchical-memory-faiss-vector-retrieval-sqlite-storage-and-automated-memory-consolidation/) ▶ How to Design a Production-Grade Multi-Agent Communication System Using LangGraph Structured Message Bus, ACP Logging, and Persistent Shared State Architecture [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agent%20Communication%20Protocol/Getting%20Started/langgraph_acp_structured_message_bus_multi_agent_system_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/01/how-to-design-a-production-grade-multi-agent-communication-system-using-langgraph-structured-message-bus-acp-logging-and-persistent-shared-state-architecture/) ▶ A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/hierarchical_planner_ai_agent_open_source_llm_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/27/a-coding-implementation-to-build-a-hierarchical-planner-ai-agent-using-open-source-llms-with-tool-execution-and-structured-multi-agent-reasoning/) ▶ How to Build a Production-Grade Customer Support Automation Pipeline with Griptape Using Deterministic Tools and Agentic Reasoning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20Workflows/griptape_customer_support_automation_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/23/how-to-build-a-production-grade-customer-support-automation-pipeline-with-griptape-using-deterministic-tools-and-agentic-reasoning/) ▶ How to Design a Swiss Army Knife Research Agent with Tool-Using AI, Web Search, PDF Analysis, Vision, and Automated Reporting [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/swiss_army_knife_research_agent_tool_using_ai_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/20/how-to-design-a-swiss-army-knife-research-agent-with-tool-using-ai-web-search-pdf-analysis-vision-and-automated-reporting/) ▶ How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20Workflows/agentic_workflow_tool_driven_route_optimization_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/21/how-to-design-an-agentic-workflow-for-tool-driven-route-optimization-with-deterministic-computation-and-structured-outputs/) ▶ A Coding Implementation to Build Bulletproof Agentic Workflows with PydanticAI Using Strict Schemas, Tool Injection, and Model-Agnostic Execution [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20Workflows/pydanticai_bulletproof_agentic_workflows_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/19/a-coding-implementation-to-build-bulletproof-agentic-workflows-with-pydanticai-using-strict-schemas-tool-injection-and-model-agnostic-execution/) ▶ A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/stateful_tutor_long_term_memory_agent_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/15/a-coding-implementation-to-design-a-stateful-tutor-agent-with-long-term-memory-semantic-recall-and-adaptive-practice-generation/) ▶ How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/self_organizing_agent_memory_long_horizon_reasoning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/14/how-to-build-a-self-organizing-agent-memory-system-for-long-term-ai-reasoning/) ▶ How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/atomic_agents_advanced_rag_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/11/how-to-build-an-atomic-agents-rag-pipeline-with-typed-schemas-dynamic-context-injection-and-agent-chaining/) ▶ How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repair Loops, and Episodic Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/Ultra_Agentic_AI_Hybrid_Retrieval_Guardrails_Episodic_Memory_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/06/how-to-build-a-production-grade-agentic-ai-system-with-hybrid-retrieval-provenance-first-citations-repair-loops-and-episodic-memory/) ▶ How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/agentic_chain_of_thought_pruning_dynamic_reasoning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/04/how-to-build-efficient-agentic-reasoning-systems-by-dynamically-pruning-multiple-chain-of-thought-paths-without-losing-accuracy/) ▶ A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Reinforcement%20learning/offline_safety_critical_rl_conservative_q_learning_d3rlpy_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/03/a-coding-implementation-to-train-safety-critical-reinforcement-learning-agents-offline-using-conservative-q-learning-with-d3rlpy-and-fixed-historical-data/) ▶ How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/memory_engineering_short_term_long_term_episodic_agents_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/01/how-to-build-memory-driven-ai-agents-with-short-term-long-term-and-episodic-memory/) ▶ How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial Operations [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/constitutional_dual_agent_financial_governance_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/28/how-to-design-self-reflective-dual-agent-governance-systems-with-constitutional-ai-for-secure-and-compliant-financial-operations/) ▶ How a Haystack-Powered Multi-Agent System Detects Incidents, Investigates Metrics and Logs, and Produces Production-Grade Incident Reviews End-to-End [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/multi_agent_incident_response_haystack_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/26/how-a-haystack-powered-multi-agent-system-detects-incidents-investigates-metrics-and-logs-and-produces-production-grade-incident-reviews-end-to-end/) ▶ How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/cost_aware_planning_agent_budget_constrained_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/23/how-an-ai-agent-chooses-what-to-do-under-tokens-latency-and-tool-call-budget-constraints/) ▶ A Coding Guide to Anemoi-Style Semi-Centralized Agentic Systems Using Peer-to-Peer Critic Loops in LangGraph [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/anemoi_semi_centralized_peer_critic_loop_langgraph_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/20/a-coding-guide-to-anemoi-style-semi-centralized-agentic-systems-using-peer-to-peer-critic-loops-in-langgraph/) ▶ How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, Tool Use, and Automated Quality Checks [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/agentic_llamaindex_rag_self_evaluation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/17/how-to-build-a-self-evaluating-agentic-ai-system-with-llamaindex-and-openai-using-retrieval-tool-use-and-automated-quality-checks/) ▶ How to Build a Safe, Autonomous Prior Authorization Agent for Healthcare Revenue Cycle Management with Human-in-the-Loop Controls [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/autonomous_prior_auth_agent_healthcare_rcm_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/15/how-to-build-a-safe-autonomous-prior-authorization-agent-for-healthcare-revenue-cycle-management-with-human-in-the-loop-controls/) ▶ How to Design an Agentic AI Architecture with LangGraph and OpenAI Using Adaptive Deliberation, Memory Graphs, and Reflexion Loops [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/agentic_ai_with_langgraph_adaptive_memory_reflexion_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/06/how-to-design-an-agentic-ai-architecture-with-langgraph-and-openai-using-adaptive-deliberation-memory-graphs-and-reflexion-loops/) ▶ A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and OpenAI [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentscope_multi_agent_incident_response_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/04/a-coding-guide-to-design-and-orchestrate-advanced-react-based-multi-agent-workflows-with-agentscope-and-openai/) ▶ How to Build a Production-Ready Multi-Agent Incident Response System Using OpenAI Swarm and Tool-Augmented Agents [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/openai_swarm_multi_agent_incident_response_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/03/how-to-build-a-production-ready-multi-agent-incident-response-system-using-openai-swarm-and-tool-augmented-agents/) ▶ A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to Red-Team Tool-Using Agents and Enforce Safety at Runtime [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/strands_agentic_red_teaming_tool_injection_harness_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/02/a-coding-implementation-to-build-a-self-testing-agentic-ai-system-using-strands-to-red-team-tool-using-agents-and-enforce-safety-at-runtime/) ▶ How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollbacks [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/transactional_agentic_ai_langgraph_two_phase_commit_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/31/how-to-design-transactional-agentic-ai-systems-with-langgraph-using-two-phase-commit-human-interrupts-and-safe-rollbacks/) ▶ How to Build a Robust Multi-Agent Pipeline Using CAMEL with Planning, Web-Augmented Reasoning, Critique, and Persistent Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/camel_multi_agent_research_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/29/how-to-build-a-robust-multi-agent-pipeline-using-camel-with-planning-web-augmented-reasoning-critique-and-persistent-memory/) ▶ How to Build Contract-First Agentic Decision Systems with PydanticAI for Risk-Aware, Policy-Compliant Enterprise AI [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/pydantic_ai_contract_first_agentic_decision_system_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/28/how-to-build-contract-first-agentic-decision-systems-with-pydanticai-for-risk-aware-policy-compliant-enterprise-ai/) ▶ How to Build Production-Grade Agentic Workflows with GraphBit Using Deterministic Tools, Validated Execution Graphs, and Optional LLM Orchestration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20Workflows/graphbit_production_agentic_workflows_offline_to_llm_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/27/how-to-build-production-grade-agentic-workflows-with-graphbit-using-deterministic-tools-validated-execution-graphs-and-optional-llm-orchestration/) ▶ A Coding Guide to Build an Autonomous Multi-Agent Logistics System with Route Planning, Dynamic Auctions, and Real-Time Visualization Using Graph-Based Simulation [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/agentic_logistics_swarm_simulation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/24/a-coding-guide-to-build-an-autonomous-multi-agent-logistics-system-with-route-planning-dynamic-auctions-and-real-time-visualization-using-graph-based-simulation/) ▶ How to Build a Fully Autonomous Local Fleet-Maintenance Analysis Agent Using SmolAgents and Qwen Model [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/smolagents_fleet_maintenance_autonomous_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/22/how-to-build-a-fully-autonomous-local-fleet-maintenance-analysis-agent-using-smolagents-and-qwen-model/) ▶ How to Build a Proactive Pre-Emptive Churn Prevention Agent with Intelligent Observation and Strategy Formation [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/preemptive_churn_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/23/how-to-build-a-proactive-pre-emptive-churn-prevention-agent-with-intelligent-observation-and-strategy-formation/) ▶ A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/Gemini_Agentic_Medical_Authorization_Workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/20/a-coding-guide-to-design-a-complete-agentic-workflow-in-gemini-for-automated-medical-evidence-gathering-and-prior-authorization-submission/) ▶ How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent Collaboration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/crewai_multiagent_gemini_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/12/17/how-to-orchestrate-a-fully-autonomous-multi-agent-research-and-writing-pipeline-using-crewai-and-gemini-for-real-time-intelligent-collaboration/) ▶ A Complete Workflow for Automated Prompt Optimization Using Gemini Flash, Few-Shot Selection, and Evolutionary Instruction Search [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Prompt%20Optimization/gemini_prompt_optimization_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/19/a-complete-workflow-for-automated-prompt-optimization-using-gemini-flash-few-shot-selection-and-evolutionary-instruction-search/) ▶ How to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and Reflexive Orchestration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/gemini_semantic_agent_orchestrator_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/15/how-to-design-a-gemini-powered-self-correcting-multi-agent-ai-system-with-semantic-routing-symbolic-guardrails-and-reflexive-orchestration/) ▶ How to Design a Fully Local Agentic Storytelling Pipeline Using Griptape Workflows, Hugging Face Models, and Modular Creative Task Orchestration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/griptape_local_agentic_story_pipeline_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/12/12/how-to-design-a-fully-local-agentic-storytelling-pipeline-using-griptape-workflows-hugging-face-models-and-modular-creative-task-orchestration/) ▶ A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/procedural_memory_agent_skill_learning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/09/a-coding-guide-to-build-a-procedural-memory-agent-that-learns-stores-retrieves-and-reuses-skills-as-neural-modules-over-time/) ▶ How to Build an Adaptive Meta-Reasoning Agent That Dynamically Chooses Between Fast, Deep, and Tool-Based Thinking Strategies [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/adaptive_meta_reasoning_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/06/how-to-build-an-adaptive-meta-reasoning-agent-that-dynamically-chooses-between-fast-deep-and-tool-based-thinking-strategies/) ▶ How to Design a Fully Local Multi-Agent Orchestration System Using TinyLlama for Intelligent Task Decomposition and Autonomous Collaboration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/local_multi_agent_manager_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/12/05/how-to-design-a-fully-local-multi-agent-orchestration-system-using-tinyllama-for-intelligent-task-decomposition-and-autonomous-collaboration/) ▶ How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/meta_cognitive_reasoning_controller_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/03/how-to-build-a-meta-cognitive-ai-agent-that-dynamically-adjusts-its-own-reasoning-depth-for-efficient-problem-solving/) ▶ A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/control_plane_agentic_ai_system_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/28/a-coding-guide-to-design-an-agentic-ai-system-using-a-control-plane-architecture-for-safe-modular-and-scalable-tool-driven-reasoning-workflows/) ▶ A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/agentic_scientific_discovery_pipeline_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/27/a-coding-implementation-for-an-agentic-ai-framework-that-performs-literature-analysis-hypothesis-generation-experimental-planning-simulation-and-scientific-reporting/) ▶ How to Build a Neuro-Symbolic Hybrid Agent that Combines Logical Planning with Neural Perception for Robust Autonomous Decision-Making [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/neuro_symbolic_hybrid_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/24/how-to-build-a-neuro-symbolic-hybrid-agent-that-combines-logical-planning-with-neural-perception-for-robust-autonomous-decision-making/) ▶ How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent Coordination [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_multi_agent_rl_gridworld_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/22/how-to-design-a-mini-reinforcement-learning-environment-acting-agent-with-intelligent-local-feedback-adaptive-decision-making-and-multi-agent-coordination/) ▶ How to Build a Fully Offline Multi-Tool Reasoning Agent with Dynamic Planning, Error Recovery, and Intelligent Function Routing [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/advanced_multitool_agentic_ai_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/20/how-to-build-a-fully-offline-multi-tool-reasoning-agent-with-dynamic-planning-error-recovery-and-intelligent-function-routing/) ▶ An Implementation of a Comprehensive Empirical Framework for Benchmarking Reasoning Strategies in Modern Agentic AI Systems [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_benchmarking_empirical_study_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/19/an-implementation-of-a-comprehensive-empirical-framework-for-benchmarking-reasoning-strategies-in-modern-agentic-ai-systems/) ▶ How to Build an Agentic Deep Reinforcement Learning System with Curriculum Progression, Adaptive Exploration, and Meta-Level UCB Planning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_deep_rl_curriculum_ucb_meta_control_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/18/how-to-build-an-agentic-deep-reinforcement-learning-system-with-curriculum-progression-adaptive-exploration-and-meta-level-ucb-planning/) ▶ How to Build Memory-Powered Agentic AI That Learns Continuously Through Episodic Experiences and Semantic Patterns for Long-Term Autonomy [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/memory_driven_agentic_ai_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/15/how-to-build-memory-powered-agentic-ai-that-learns-continuously-through-episodic-experiences-and-semantic-patterns-for-long-term-autonomy/) ▶ How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge Graphs [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/spacy_agentic_ai_system_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/14/how-to-design-an-advanced-multi-agent-reasoning-system-with-spacy-featuring-planning-reflection-memory-and-knowledge-graphs/) ▶ How to Build a Fully Self-Verifying Data Operations AI Agent Using Local Hugging Face Models for Automated Planning, Execution, and Testing [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/self_verifying_dataops_agent_local_hf_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/13/how-to-build-a-fully-self-verifying-data-operations-ai-agent-using-local-hugging-face-models-for-automated-planning-execution-and-testing/) ▶ A Coding Implementation to Build Neural Memory Agents with Differentiable Memory, Meta-Learning, and Experience Replay for Continual Adaptation in Dynamic Environments [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/neural_memory_agents_continual_learning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/09/a-coding-implementation-to-build-neural-memory-agents-with-differentiable-memory-meta-learning-and-experience-replay-for-continual-adaptation-in-dynamic-environments/) ▶ How to Build an Agentic Voice AI Assistant that Understands, Reasons, Plans, and Responds through Autonomous Multi-Step Intelligence [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Voice%20AI/agentic_voice_ai_autonomous_assistant_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/08/how-to-build-an-agentic-voice-ai-assistant-that-understands-reasons-plans-and-responds-through-autonomous-multi-step-intelligence/) ▶ Build a Multi-Agent System for Integrated Transcriptomic, Proteomic, and Metabolomic Data Interpretation with Pathway Reasoning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/multi_agent_omics_integration_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/07/build-a-multi-agent-system-for-integrated-transcriptomic-proteomic-and-metabolomic-data-interpretation-with-pathway-reasoning/) ▶ How to Build a Model-Native Agent That Learns Internal Planning, Memory, and Multi-Tool Reasoning Through End-to-End Reinforcement Learning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/Model_Native_Agentic_AI_End_to_End_RL_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/05/how-to-build-a-model-native-agent-that-learns-internal-planning-memory-and-multi-tool-reasoning-through-end-to-end-reinforcement-learning/) ▶ Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/wetlab_protocol_planner_codegen_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/06/build-an-autonomous-wet-lab-protocol-planner-and-validator-using-salesforce-codegen-for-agentic-experiment-design-and-safety-optimization/) ▶ How to Design a Persistent Memory and Personalized Agentic AI System with Decay and Self-Evaluation? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/Persistent_Memory_Personalised_Agentic_AI_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/02/how-to-design-a-persistent-memory-and-personalized-agentic-ai-system-with-decay-and-self-evaluation/) ▶ How to Design an Autonomous Multi-Agent Data and Infrastructure Strategy System Using Lightweight Qwen Models for Efficient Pipeline Intelligence? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_data_infrastructure_strategy_qwen_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/30/how-to-design-an-autonomous-multi-agent-data-and-infrastructure-strategy-system-using-lightweight-qwen-models-for-efficient-pipeline-intelligence/) ▶ How to Build a Fully Functional Computer-Use Agent that Thinks, Plans, and Executes Virtual Actions Using Local AI Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Computer_Use_Agent_Local_AI_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/25/how-to-build-a-fully-functional-computer-use-agent-that-thinks-plans-and-executes-virtual-actions-using-local-ai-models/) ▶ A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/enterprise_agentic_benchmarking_framework_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/01/a-coding-implementation-of-a-comprehensive-enterprise-ai-benchmarking-framework-to-evaluate-rule-based-llm-and-hybrid-agentic-ai-systems-across-real-world-tasks/) ▶ How to Build Ethically Aligned Autonomous Agents through Value-Guided Reasoning and Self-Correcting Decision-Making Using Open-Source Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Value_Alignment_and_Ethics_in_Agentic_Systems_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/29/how-to-build-ethically-aligned-autonomous-agents-through-value-guided-reasoning-and-self-correcting-decision-making-using-open-source-models/) ▶ How to Build, Train, and Compare Multiple Reinforcement Learning Agents in a Custom Trading Environment Using Stable-Baselines3 [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/advanced_stable_baselines3_trading_agent_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/26/how-to-build-train-and-compare-multiple-reinforcement-learning-agents-in-a-custom-trading-environment-using-stable-baselines3/) ▶ How I Built an Intelligent Multi-Agent Systems with AutoGen, LangChain, and Hugging Face to Demonstrate Practical Agentic AI Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Agentic_AI_LangChain_AutoGen_HuggingFace_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/21/how-i-built-an-intelligent-multi-agent-systems-with-autogen-langchain-and-hugging-face-to-demonstrate-practical-agentic-ai-workflows/) ▶ A Coding Guide to Build a Fully Functional Multi-Agent Marketplace Using uAgent [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/uagents_multi_agent_marketplace_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/23/a-coding-guide-to-build-a-fully-functional-multi-agent-marketplace-using-uagent/) ▶ A Coding Implementation of Secure AI Agent with Self-Auditing Guardrails, PII Redaction, and Safe Tool Access in Python [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/secure_ai_agent_with_guardrails_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/12/a-coding-implementation-of-secure-ai-agent-with-self-auditing-guardrails-pii-redaction-and-safe-tool-access-in-python/) ▶ Meet LangChain’s DeepAgents Library and a Practical Example to See How DeepAgents Actually Work in Action [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Langchain_Deepagents.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/20/meet-langchains-deepagents-library-and-a-practical-example-to-see-how-deepagents-actually-work-in-action/) ▶ An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/LangChain_XGBoost_Agentic_Pipeline_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/07/an-intelligent-conversational-machine-learning-pipeline-integrating-langchain-agents-and-xgboost-for-automated-data-science-workflows/) ▶ A Coding Guide to Build an AI-Powered Cryptographic Agent System with Hybrid Encryption, Digital Signatures, and Adaptive Security Intelligence [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/AI_Crypto_Agent_Secure_Comms_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/16/a-coding-guide-to-build-an-ai-powered-cryptographic-agent-system-with-hybrid-encryption-digital-signatures-and-adaptive-security-intelligence/) ▶ How to Build an Advanced Agentic Retrieval-Augmented Generation (RAG) System with Dynamic Strategy and Smart Retrieval? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_rag_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/09/30/how-to-build-an-advanced-agentic-retrieval-augmented-generation-rag-system-with-dynamic-strategy-and-smart-retrieval/) ▶ A Coding Guide to Build a Hierarchical Supervisor Agent Framework with CrewAI and Google Gemini for Coordinated Multi-Agent Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/supervisor_framework_crewai_gemini_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/09/30/a-coding-guide-to-build-a-hierarchical-supervisor-agent-framework-with-crewai-and-google-gemini-for-coordinated-multi-agent-workflows/) ▶ How to Build an Intelligent AI Desktop Automation Agent with Natural Language Commands and Interactive Simulation? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/ai_desktop_automation_agent_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/26/how-to-build-an-intelligent-ai-desktop-automation-agent-with-natural-language-commands-and-interactive-simulation/) ▶ How to Build an Advanced End-to-End Voice AI Agent Using Hugging Face Pipelines? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/how_to_build_an_advanced_end_to_end_voice_ai_agent_using_hugging_face_pipelines.py) [Tutorial](https://www.marktechpost.com/2025/09/17/how-to-build-an-advanced-end-to-end-voice-ai-agent-using-hugging-face-pipelines/) ▶ How to Create Reliable Conversational AI Agents Using Parlant? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/parlant.py) [Tutorial](https://www.marktechpost.com/2025/09/22/how-to-create-reliable-conversational-ai-agents-using-parlant/) ▶ How to Build a Multilingual OCR AI Agent in Python with EasyOCR and OpenCV [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/advanced_ocr_ai_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/12/how-to-build-a-multilingual-ocr-ai-agent-in-python-with-easyocr-and-opencv/) ▶ How to Build a Robust Advanced Neural AI Agent with Stable Training, Adaptive Learning, and Intelligent Decision-Making? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/advanced_neural_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/13/how-to-build-a-robust-advanced-neural-ai-agent-with-stable-training-adaptive-learning-and-intelligent-decision-making/) ▶ Building Advanced MCP (Model Context Protocol) Agents with Multi-Agent Coordination, Context Awareness, and Gemini Integration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Building%20Advanced%20MCP%20Agents%20with%20Multi-Agent%20Coordination.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/10/building-advanced-mcp-model-context-protocol-agents-with-multi-agent-coordination-context-awareness-and-gemini-integration/) ▶ How to Build a Complete Multi-Domain AI Web Agent Using Notte and Gemini [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Build%20a%20Complete%20Multi-Domain%20AI%20Web%20Agent%20Using%20Notte%20and%20Gemini) [Tutorial](https://www.marktechpost.com/2025/09/08/how-to-build-a-complete-multi-domain-ai-web-agent-using-notte-and-gemini/) ▶ How to Create a Bioinformatics AI Agent Using Biopython for DNA and Protein Analysis [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Bioinformatics%20AI%20Agent%20with%20Biopython) [Tutorial](https://www.marktechpost.com/2025/09/07/how-to-create-a-bioinformatics-ai-agent-using-biopython-for-dna-and-protein-analysis/) ▶ Step-by-Step Guide to AI Agent Development Using Microsoft Agent-Lightning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agent_lightning_prompt_optimization_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/31/step-by-step-guide-to-ai-agent-development-using-microsoft-agent-lightning/) ▶ How to Build an Advanced AI Agent with Summarized Short-Term and Vector-Based Long-Term Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Advanced%20AI%20Agent%20with%20Summarized%20Short%20Term%20and%20Vector-Based%20LongTerm%20Memory) [Tutorial](https://www.marktechpost.com/2025/09/02/how-to-build-an-advanced-ai-agent-with-summarized-short-term-and-vector-based-long-term-memory/) ▶ How to Build a Conversational Research AI Agent with LangGraph: Step Replay and Time-Travel Checkpoints [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/langgraph_time_travel_research_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/31/how-to-build-a-conversational-research-ai-agent-with-langgraph-step-replay-and-time-travel-checkpoints/) ▶ How to Build a Multi-Round Deep Research Agent with Gemini, DuckDuckGo API, and Automated Reporting? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/deep_research_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/28/how-to-build-a-multi-round-deep-research-agent-with-gemini-duckduckgo-api-and-automated-reporting/) ▶ A Coding Guide to Building a Brain-Inspired Hierarchical Reasoning AI Agent with Hugging Face Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/hrm_braininspired_ai_agent_huggingface_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/08/30/a-coding-guide-to-building-a-brain-inspired-hierarchical-reasoning-ai-agent-with-hugging-face-models/) ▶ A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/graphagent_gemini_advanced_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/23/a-full-code-implementation-to-design-a-graph-structured-ai-agent-with-gemini-for-task-planning-retrieval-computation-and-self-critique/) ▶ Building a Reliable End-to-End Machine Learning Pipeline Using MLE-Agent and Ollama Locally [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/mle_agent_ollama_local_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/25/building-a-reliable-end-to-end-machine-learning-pipeline-using-mle-agent-and-ollama-locally/) ▶ An Implementation Guide to Build a Modular Conversational AI Agent with Pipecat and HuggingFace [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/pipecat_huggingface_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/13/an-implementation-guide-to-build-a-modular-conversational-ai-agent-with-pipecat-and-huggingface/) ▶ Building a Secure and Memory-Enabled Cipher Workflow for AI Agents with Dynamic LLM Selection and API Integration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/cipher_memory_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/11/building-a-secure-and-memory-enabled-cipher-workflow-for-ai-agents-with-dynamic-llm-selection-and-api-integration/) ▶ A Developer’s Guide to OpenAI’s GPT-5 Model Capabilities [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/GPT-5/GPT_5.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/08/a-developers-guide-to-openais-gpt-5-model-capabilities/) ▶ Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/paperqa2_gemini_research_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/09/building-an-advanced-paperqa2-research-agent-with-google-gemini-for-scientific-literature-analysis/) ▶ A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/openai_agents_multiagent_research_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/08/a-code-implementation-to-build-a-multi-agent-research-system-with-openai-agents-function-tools-handoffs-and-session-memory/) ▶ A Coding Implementation to Build a Self-Adaptive Goal-Oriented AI Agent Using Google Gemini and the SAGE Framework [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/sage_ai_agent_gemini_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/06/a-coding-implementation-to-build-a-self-adaptive-goal-oriented-ai-agent-using-google-gemini-and-the-sage-framework/) ▶ Building a Multi-Agent Conversational AI Framework with Microsoft AutoGen and Gemini API [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/gemini_autogen_multiagent_framework_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/04/building-a-multi-agent-conversational-ai-framework-with-microsoft-autogen-and-gemini-api/) ▶ A Coding Guide to Build an Intelligent Conversational AI Agent with Agent Memory Using Cognee and Free Hugging Face Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Cognee_Agent_Tutorial_with_HuggingFace_Integration_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/31/a-coding-guide-to-build-an-intelligent-conversational-ai-agent-with-agent-memory-using-cognee-and-free-hugging-face-models/) ▶ A Coding Guide to Build a Scalable Multi-Agent System with Google ADK [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/advanced_google_adk_multi_agent_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/30/a-coding-guide-to-build-a-scalable-multi-agent-system-with-google-adk/) ▶ A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/prolog_gemini_langgraph_react_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/24/a-coding-guide-to-build-a-tool-calling-react-agent-fusing-prolog-logic-with-gemini-and-langgraph/) ▶ A Coding Guide to Build an AI Code-Analysis Agent with Griffe [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/griffe_ai_code_analyzer_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/16/a-coding-guide-to-build-an-ai-code-analysis-agent-with-griffe/) ▶ A Code Implementation for Designing Intelligent Multi-Agent Workflows with the BeeAI Framework [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/beeai_multi_agent_workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/07/a-code-implementation-for-designing-intelligent-multi-agent-workflows-with-the-beeai-framework/) ▶ Implementing a Tool-Enabled Multi-Agent Workflow with Python, OpenAI API, and PrimisAI Nexus [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/primisai_nexus_multi_agent_workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/07/implementing-a-tool-enabled-multi-agent-workflow-with-python-openai-api-and-primisai-nexus/) ▶ Getting Started with Agent Communication Protocol (ACP): Build a Weather Agent with Python [Codes](https://github.com/Marktechpost/AI-Notebooks/tree/main/Agent%20Communication%20Protocol/Getting%20Started) [Tutorial](https://www.marktechpost.com/2025/07/06/getting-started-with-agent-communication-protocol-acp-build-a-weather-agent-with-python/) ▶ Build a Powerful Multi-Tool AI Agent Using Nebius with Llama 3 and Real-Time Reasoning Tools [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/nebius_llama3_multitool_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/27/build-a-powerful-multi-tool-ai-agent-using-nebius-with-llama-3-and-real-time-reasoning-tools/) ▶ Building Production-Ready Custom AI Agents for Enterprise Workflows with Monitoring, Orchestration, and Scalability [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/production_ready_custom_ai_agents_workflows_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/22/building-production-ready-custom-ai-agents-for-enterprise-workflows-with-monitoring-orchestration-and-scalability/) ▶ Building an A2A-Compliant Random Number Agent: A Step-by-Step Guide to Implementing the Low-Level Executor Pattern with Python [Codes](https://github.com/Marktechpost/AI-Notebooks/tree/main/A2A_Simple_Agent) [Tutorial](https://www.marktechpost.com/2025/06/21/building-an-a2a-compliant-random-number-agent-a-step-by-step-guide-to-implementing-the-low-level-executor-pattern-with-python/) ▶ Build a Low-Footprint AI Coding Assistant with Mistral Devstral [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/mistral_devstral_compact_loading_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/06/25/build-a-low-footprint-ai-coding-assistant-with-mistral-devstral/) ▶ How to Build an Advanced BrightData Web Scraper with Google Gemini for AI-Powered Data Extraction [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Enhanced_BrightData_Gemini_Scraper_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/18/how-to-build-an-advanced-brightdata-web-scraper-with-google-gemini-for-ai-powered-data-extraction/) ▶ Build an Intelligent Multi-Tool AI Agent Interface Using Streamlit for Seamless Real-Time Interaction [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/streamlit_ai_agent_multitool_interface_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/20/build-an-intelligent-multi-tool-ai-agent-interface-using-streamlit-for-seamless-real-time-interaction/) ▶ How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol [Notebook-inflation_agent.py](https://github.com/Marktechpost/AI-Notebooks/blob/main/inflation_agent.py) [Notebook-network.ipynb](https://github.com/Marktechpost/AI-Notebooks/blob/main/network.ipynb) [Notebook-emi_agent.py](https://github.com/Marktechpost/AI-Notebooks/blob/main/emi_agent.py) [Tutorial](https://www.marktechpost.com/2025/06/16/how-to-use-python-a2a-to-create-and-connect-financial-agents-with-googles-agent-to-agent-a2a-protocol/) ▶ Develop a Multi-Tool AI Agent with Secure Python Execution using Riza and Gemini [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/Agents/Agentic-AI/Riza_Gemini_Agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/11/develop-a-multi-tool-ai-agent-with-secure-python-execution-using-riza-and-gemini/) ▶ Build a Gemini-Powered DataFrame Agent for Natural Language Data Analysis with Pandas and LangChain [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Gemini_Pandas_Agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/10/build-a-gemini-powered-dataframe-agent-for-natural-language-data-analysis-with-pandas-and-langchain/) ▶ How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/gemini_agent_network_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/08/how-to-build-an-asynchronous-ai-agent-network-using-gemini-for-research-analysis-and-validation-tasks/) ▶ How to Create Smart Multi-Agent Workflows Using the Mistral Agents API’s Handoffs Feature [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/agent_orchestration_with_mistral_agents_api.py) [Tutorial](https://www.marktechpost.com/2025/06/09/how-to-create-smart-multi-agent-workflows-using-the-mistral-agents-apis-handoffs-feature/) ▶ How to Enable Function Calling in Mistral Agents Using the Standard JSON Schema Format [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/how%20to%20enable%20function%20calling%20in%20Mistral%20Agents.py) [Tutorial](https://www.marktechpost.com/2025/06/08/how-to-enable-function-calling-in-mistral-agents-using-the-standard-json-schema-format/) ▶ A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and Gemini [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/GraphAIAgent_LangGraph_Gemini_Workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/05/a-step-by-step-coding-guide-to-building-an-iterative-ai-workflow-agent-using-langgraph-and-gemini/) ▶ A Coding Implementation to Build an Advanced Web Intelligence Agent with Tavily and Gemini AI [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/smartwebagent_tavily_gemini_webintelligence_marktechpost2.py) [Tutorial](https://www.marktechpost.com/2025/06/03/a-coding-implementation-to-build-an-advanced-web-intelligence-agent-with-tavily-and-gemini-ai/) ▶ Hands-On Guide: Getting started with Mistral Agents API [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Getting_Started_with_Mistral_Agents_API.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/03/hands-on-guide-getting-started-with-mistral-agents-api/) ▶ A Coding Guide to Building a Scalable Multi-Agent Communication Systems Using Agent Communication Protocol (ACP) [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/A_Coding_Guide_to_ACP_Systems_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/31/a-coding-guide-to-building-a-scalable-multi-agent-communication-systems-using-agent-communication-protocol-acp/) ▶ A Coding Guide for Building a Self-Improving AI Agent Using Google’s Gemini API with Intelligent Adaptation Features [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Self_Improving_AI_Agent_with_Gemini_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/29/a-coding-guide-for-building-a-self-improving-ai-agent-using-googles-gemini-api-with-intelligent-adaptation-features/) ▶ A Step-by-Step Coding Implementation of an Agent2Agent Framework for Collaborative and Critique-Driven AI Problem Solving with Consensus-Building [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/agent2agent_collaboration_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/27/a-step-by-step-coding-implementation-of-an-agent2agent-framework-for-collaborative-and-critique-driven-ai-problem-solving-with-consensus-building/) ▶ A Coding Guide to Building a Customizable Multi-Tool AI Agent with LangGraph and Claude for Dynamic Agent Creation [Notebook](https://github.com/Marktechpost/AINotebooks/blob/main/Customizable_MultiTool_AI_Agent_with_Claude_Marktechpost%20(1).ipynb) [Tutorial](https://www.marktechpost.com/2025/05/24/step-by-step-guide-to-build-a-customizable-multi-tool-ai-agent-with-langgraph-and-claude-for-dynamic-agent-creation/) ▶ A Coding Implementation to Build an AI Agent with Live Python Execution and Automated Validation [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Live_Python_Execution_and_Validation_Agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/25/a-coding-implementation-to-build-an-ai-agent-with-live-python-execution-and-automated-validation/) ▶ A Comprehensive Coding Guide to Crafting Advanced Round-Robin Multi-Agent Workflows with Microsoft AutoGen [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Synthetic_Data_Creation.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/23/a-comprehensive-coding-guide-to-crafting-advanced-round-robin-multi-agent-workflows-with-microsoft-autogen/) ▶ A Coding Implementation of an Intelligent AI Assistant with Jina Search, LangChain, and Gemini for Real-Time Information Retrieval [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Jina_LangChain_Gemini_AI_Assistant_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/01/a-coding-implementation-of-an-intelligent-ai-assistant-with-jina-search-langchain-and-gemini-for-real-time-information-retrieval/)

标签：AI智能体, DLL 劫持, NoSQL, Petitpotam, PyRIT, 多智能体系统, 大语言模型, 教程与示例, 机器学习工程, 特权检测, 逆向工具