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mnemoai
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Mnemo AI
A local agentic AI assistant with MCP (Model Context Protocol) integration, RAG capabilities, and intelligent conversation management. Built on LangGraph with LangChain for multi-provider LLM support (Ollama, Amazon Bedrock, OpenAI, Anthropic, Amazon SageMaker AI, LiteLLM).
▶️ Watch the demo
📖 Documentation
Full documentation is available at https://brunopistone.github.io/mnemoai/
Getting Started
Usage
Configuration
Advanced Features
Productivity Tools
Architecture
Development
🚀 Quick Start
pip install mnemoai-assistant # or: uv tool install mnemoai-assistant<br>mnemoai # verbose (shows thinking); --no-verbose to hide
On first run, if no config is found, an interactive configurator launches and walks you through picking a provider, model, and feature toggles — then writes ~/.mnemoai/config/config.yaml.
→ See the Getting Started guide for full setup.
✨ Key Features
🤖 Multi-Model Support : Ollama (local), Amazon Bedrock, OpenAI, Anthropic (Claude), Amazon SageMaker AI, LiteLLM (100+ providers)
🔧 MCP Tool System : Extensible tool architecture via Model Context Protocol
📚 RAG : Automatic document indexing and semantic (hybrid) search
🧠 User Profile Learning : Personalized responses learned from interactions
🧩 Episodic Memory : Learns from successful task completions and retrieves similar solutions
📖 ACE Playbook : Learns strategies from successes AND failures (Agentic Context Engineering)
🔍 Web Search & 🌐 Crawler : Brave Search API + web page extraction with RAG ingestion
🖼️ Vision Support : Image analysis with vision models
📁 File Operations & ✏️ Precise Editing : Read/write/edit text, CSV, JSON, PDF, DOCX
🔎 Fast Search : Glob + ripgrep content search (10-100x faster)
📋 Todo Tracking, 📝 Plan Mode & 🔄 Background Tasks : Multi-step task management
⚡ Bash Execution & 🛡️ Git Safety : Shell commands with smart error handling and guardrails
📄 License
Licensed under the MIT License — see the LICENSE file for details.
🤝 Contributing
This is a personal development project. Feel free to fork and adapt it to your needs; attribution to the original repository is appreciated but not required.
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