A fully autonomous terminal AI agent — multi-model routing, persistent memory, real tool execution
Project description
🤖 PawnLogic
A fully autonomous terminal AI agent — multi-model routing, persistent memory, real tool execution, and session management. Built for developers and security researchers.
⚡ Quick Start
Option A — pip install (recommended)
pip install pawnlogic
pawn # first run launches the API configuration wizard
Option B — from source
git clone https://github.com/john0123412/PawnLogic.git && cd PawnLogic
python3 -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python main.py # first run launches the API configuration wizard
Global pawn command:
chmod +x pawn.sh && ln -sf "$(pwd)/pawn.sh" ~/.local/bin/pawn
Key Capabilities
| Capability | Description |
|---|---|
| 🔀 Dynamic Provider System | Built-in DeepSeek / OpenAI / Anthropic + add any OpenAI-compatible API via /provider |
| 🧠 Persistent Memory | SQLite session history, RAG knowledge base, cross-session full-text search |
| 🛠️ Real Tool Execution | Shell, code sandbox (8 languages), web fetch, file ops, Docker containers |
| 👁️ Vision | Feed screenshots to gpt-4o or claude-sonnet for analysis |
| 📋 Spec-Driven Planning | Agent outputs <plan> XML before every action — no blind execution |
| 💬 Session Management | Tag, search, link, and export conversations with /chat commands |
| 🔐 CTF / Pwn Toolchain | GDB automation, ROP chain building, libc leak resolution, Docker isolation |
Supported Models
| Provider | Aliases | Best For |
|---|---|---|
| DeepSeek | ds-v4-flash ds-v4-pro |
Fast default, flagship reasoning |
| OpenAI | gpt-4o gpt-4.1 o3 |
Vision, code, complex reasoning |
| Anthropic | claude-sonnet claude-haiku |
Balanced, fast low-cost |
Custom providers added via /provider fetch appear automatically in /model and Tab completion.
Provider Management
/provider # open interactive TUI panel
/provider add <name> <base_url> <ENV_KEY> [anthropic]
/provider fetch <name> # auto-discover models with interactive multi-select
/provider list # show all providers and key status
/provider test <model> # test connectivity
All keys are stored in ~/.pawnlogic/.env. Provider configs (no keys) go to ~/.pawnlogic/custom_providers.json.
Quick Command Reference
/model [alias] # switch model
/mode # toggle USER / DEV output mode
/chat find <keyword> # full-text search across all sessions
/think <prompt> # single deep-reasoning turn
/compact # summarize + clear context
/undo [n] # roll back last n turns
/deep # switch to deep mode (32k tokens, 50 iter)
/init_project # initialize GSD engineering pipeline
/pwnenv # check CTF toolchain integrity
/keys # show API key status for all providers
MCP Tool Integration
cp mcp_configs.example.json ~/.pawnlogic/mcp_configs.json
# edit mcp_configs.json, add TAVILY_API_KEY= etc. to ~/.pawnlogic/.env
python main.py # MCP servers load automatically
Supported MCP servers: Tavily (search), Playwright (browser automation), Filesystem (file bridge).
Data Layout
All runtime data and API keys are stored in ~/.pawnlogic/ — never in the project directory.
~/.pawnlogic/
├── .env # ALL API keys (LLM providers + MCP tools)
├── custom_providers.json # user-added provider configs (no keys)
├── mcp_configs.json # MCP server declarations
├── pawn.db # sessions, messages, knowledge base
├── global_skills.md # GSA skill archive
├── workspace/ # per-session working directories
└── logs/ # audit logs
The project directory contains no secrets and is safe to commit or share.
Documentation
| Document | Description |
|---|---|
| README.md | This page |
| README_CN.md | 中文版 |
| GUIDE_EN.md | Full reference — commands, architecture, FAQ |
| GUIDE_CN.md | 完整参考手册 — 命令、架构、常见问题 |
| CHANGELOG.md | Version history and release notes |
| CONTRIBUTING.md | How to contribute, add providers, run tests |
| SECURITY.md | Vulnerability reporting policy |
Support
- GitHub: github.com/john0123412/PawnLogic
- Issues: GitHub Issues for bugs and feature requests
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