# AGiXT — Extensible AI Agent Automation Framework > Open-source AI agent automation platform with 50+ provider integrations, plugin system, chain-of-thought workflows, and persistent memory. Self-hostable via Docker. ## Install Save the content below to `.claude/skills/` or append to your `CLAUDE.md`: ## Quick Use ```bash git clone https://github.com/Josh-XT/AGiXT cd AGiXT docker compose up -d ``` Open `http://localhost:8501` for the web UI. ## What is AGiXT? AGiXT is an open-source AI agent automation platform that combines 50+ LLM providers, a plugin system for external tools, chain-of-thought workflows (called "chains"), and persistent memory. It provides a web UI, REST API, and Python SDK for building and managing autonomous AI agents. **Answer-Ready**: AGiXT is an open-source AI agent automation platform with 50+ LLM providers, plugin-based tool system, chain-of-thought workflows, and persistent memory. Self-hostable via Docker with web UI and REST API. 3k+ GitHub stars. **Best for**: Teams building customizable autonomous AI agents with tool integrations. **Works with**: Claude, GPT, Gemini, Mistral, Ollama, 45+ more providers. **Setup time**: Under 10 minutes with Docker. ## Core Features ### 1. Multi-Provider Support | Category | Providers | |----------|----------| | Commercial | OpenAI, Anthropic, Google, Cohere, Mistral | | Open Source | Ollama, vLLM, Hugging Face, llama.cpp | | Cloud | Azure, AWS Bedrock, Google Vertex | | Gateways | OpenRouter, LiteLLM, Portkey | ### 2. Plugin System Extend agents with tools: ``` Built-in plugins: - Web browsing and scraping - Code execution (Python, Shell) - File operations - Email (SMTP, IMAP) - GitHub integration - Database queries (SQL) - Image generation (DALL-E, SD) - Voice (TTS, STT) ``` ### 3. Chains (Multi-Step Workflows) ```yaml Chain: "Research and Report" Steps: 1. Web Search: Search for {topic} 2. Summarize: Condense search results 3. Analyze: Extract key insights 4. Generate: Write formatted report 5. Email: Send report to {recipient} ``` ### 4. Persistent Memory Agents remember across sessions: - Conversation history - Learned facts and preferences - Task outcomes - Custom knowledge bases ### 5. REST API ```python from agixtsdk import AGiXTSDK agixt = AGiXTSDK(base_uri="http://localhost:7437") # Create agent agixt.add_agent("researcher", provider="anthropic", model="claude-sonnet-4-20250514") # Chat response = agixt.chat("researcher", "Research quantum computing trends") # Run chain result = agixt.run_chain("Research and Report", prompt="AI coding tools 2026") ``` ### 6. Web UI Streamlit-based interface for: - Agent creation and configuration - Chat interface - Chain builder (visual) - Memory management - Plugin configuration ## Architecture ``` Web UI / REST API / Python SDK ↓ AGiXT Core Engine ├── Agent Manager ├── Chain Executor ├── Memory (ChromaDB / PostgreSQL) ├── Plugin Loader └── Provider Router (50+ LLMs) ``` ## FAQ **Q: Is AGiXT free?** A: Yes, fully open-source under MIT license. Self-host for free. **Q: How does it compare to AutoGPT?** A: AGiXT is more modular with its plugin/chain system and supports 50+ providers. AutoGPT is simpler but less extensible. **Q: Can I use it in production?** A: Yes, Docker deployment is production-ready with PostgreSQL backend. ## Source & Thanks > Created by [Josh-XT](https://github.com/Josh-XT). Licensed under MIT. > > [Josh-XT/AGiXT](https://github.com/Josh-XT/AGiXT) — 3k+ stars ## Quick Start ```bash git clone https://github.com/Josh-XT/AGiXT cd AGiXT && docker compose up -d ``` One Docker command to launch — open `localhost:8501` in your browser. ## What is AGiXT? AGiXT is an open-source AI agent automation platform with 50+ LLM providers, a plugin-based tool system, chained workflows, and persistent memory. **In one sentence**: Open-source AI agent automation platform — 50+ LLM providers, plugin system, chained workflows, persistent memory, self-hostable via Docker. **For**: Teams building customizable autonomous AI agents. ## Core Features ### 1. 50+ Providers Full coverage of commercial, open-source, and cloud LLMs. ### 2. Plugin System Browser, code execution, email, GitHub, databases, and more. ### 3. Chained Workflows Multi-step task flows — visually built. ### 4. Persistent Memory Cross-session memory of conversations, facts, and task results. ## FAQ **Q: Is it free?** A: Fully open source and free under MIT. **Q: How does it compare to AutoGPT?** A: AGiXT is more modular — 50+ providers, more extensible plugin/chain system. ## Source & Thanks > [Josh-XT/AGiXT](https://github.com/Josh-XT/AGiXT) — 3k+ stars, MIT --- Source: https://tokrepo.com/en/workflows/agixt-extensible-ai-agent-automation-framework-6528233f Author: Agent Toolkit