m4stanuj/m4stanuj

GitHub: m4stanuj/m4stanuj

面向消费级硬件的本地优先统一自主 AI 代理基础设施，整合 MCP 工具、LLM 路由、记忆层和自动化能力，在免费资源约束下实现可持续运行的 AI 工作空间。

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# M4ST / Anuj

## 信号我致力于构建能在实际约束下生存的实用 AI 系统：有限的 VRAM、免费层 API、Windows/Kali 工作流、复杂的浏览器自动化，以及那些在演示结束后仍需持续运行的工具。

Agent 基础设施
MCP server、记忆层、工具路由器、调度器、fallback 链以及工作区自动化。

本地 AI 系统
Ollama、Qwen 风格的本地模型、ChromaDB 缓存、语音/视觉实用工具以及离线 fallback 设计。

安全自动化
授权的 OSINT、侦察 pipeline、Nmap/Shodan/Nuclei 工作流、浏览器测试以及符合 CEH 标准的方法论。

MAST v1.0: Mast Autonomous System Terminal

MAST is my main build: a local-first AI operator that connects LLM routing, MCP tools, memory, browser automation, voice/vision utilities, and defensive security workflows into one workspace.

It is designed for consumer hardware, unstable free-tier APIs, and real daily work where the assistant needs context, tools, and recovery paths instead of just chat.

Core Numbers

Hardware target: RTX 2060 Super, 8GB VRAM, local fallback ready.

## MAST 生态系统图 ``` graph TD M["MAST v1.0"] M --> A["Agent workspace"] M --> B["Model layer"] M --> C["Memory layer"] M --> D["Automation layer"] M --> E["Security layer"] M --> F["Voice and vision layer"] A --> A1["OpenCode, Cursor, VS Code, Windsurf"] A --> A2["MCP server hub"] B --> B1["Cloud provider routes"] B --> B2["Local Ollama fallback"] C --> C1["ChromaDB semantic memory"] C --> C2["SQLite task ledger"] D --> D1["Playwright browser control"] D --> D2["Scheduler and notifications"] E --> E1["Authorized OSINT tooling"] E --> E2["Nmap, Shodan, Nuclei workflows"] F --> F1["Whisper speech input"] F --> F2["OCR and screen understanding"] ``` ## 核心项目

MAST v1.0 - Autonomous System Terminal

Unified AI stack merging M4STCLAW, OpenWork, and EIGENT into a local-first operator: 21 MCP servers, 11 provider routes, task chains, semantic cache, memory, scheduler, and local fallback.

MCP LangGraph ChromaDB Ollama Python

Repository | Releases

cai-osint - Authorized Recon Framework

AI-assisted OSINT and pentest workflow with Nmap, Shodan, Nuclei, target-scope guardrails, and CEH-style methodology for defensive research and authorized testing.

OSINT Nmap Shodan Nuclei Security

Repository | Methodology

OpenWork - Universal MCP Workspace

Portable MCP workspace stack for AI IDEs. Focused on safe file work, browser automation, research, memory, skills, notifications, and tool reconstruction through config.

MCP Server Playwright JSON-RPC Automation

Repository | Releases

LeadSniper - AI Outreach Engine

Local outreach pipeline for scraping public directories, filtering prospects, scoring by ICP rules, and drafting personalized emails through LLM-assisted workflows.

Scraping LLM Routing ICP Scoring Python

Repository | Pipeline

## 集成 Stack 组件

Core Languages & Frameworks

Also comfortable with: REST APIs, JSON-RPC, CLI tooling, Windows automation, Linux workflows, config-driven systems, and repo packaging.

AI / ML / Orchestration

Model routes: Groq, Cerebras, Gemini, DeepSeek, Kimi K2, Qwen/Qwen-Coder, Together AI, Sarvam-M, Nemotron, and local Ollama fallback.

Infrastructure & Tools

Workspace: Windows AtlasOS, Kali Linux dual boot, OpenCode, Cursor, VS Code, Windsurf, browser automation, and reproducible setup scripts.

Security & OSINT

Focus areas: authorized recon, target-scope validation, browser fingerprint testing, web automation, vulnerability template workflows, and defensive research tooling.

### 额外能力

## GitHub 活动

GitHub stats GitHub streak

GitHub contribution snake

## 联系方式 ``` Open to: AI automation work, MCP integrations, OSINT tooling, agent workflows, and serious open-source collaboration. Best fit: practical systems that need to run locally, cheaply, and reliably. Preferred contact: email or LinkedIn DM. ```

标签：AI智能体, AI风险缓解, ESC4, LLM路由, MCP服务器, MITM代理, OSINT, 数据可视化, 本地部署, 特征检测, 网络调试, 自动化, 请求拦截, 逆向工具