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Jean Memory
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
AI Memory across your applications in 5 lines of code.
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Quick Start: Add Memory to Your App in 5 Minutes
Integrate a powerful memory layer into your application with our easy-to-use SDKs.
React: Add a Full Chat UI
Drop a complete, context-aware chat component into your React app.
Python: Power Your Backend Agent
Add a context layer to your Python backend or AI agent.
Node.js: Enhance Your JavaScript Backend
Integrate memory into your Next.js, Express, or other Node.js services.
➡️ **Explore the full SDK Documentation** for advanced usage, authentication, and more examples.
What is Jean Memory?
Jean Memory provides a persistent and intelligent memory layer that enables AI applications to understand users with deep, personal context. It moves beyond simple information retrieval to sophisticated context engineering, ensuring that an AI has precisely the right information at the time of inference to provide personalized, accurate, and helpful responses.
- **5-Minute Integration**: Add a complete, production-ready chat UI to your React app in minutes.
- **Headless SDKs**: Powerful, headless libraries for Python and Node.js to integrate with any backend or agent.
- **Intelligent Orchestration**: Goes beyond a vector database. An AI-powered orchestration layer dynamically analyzes intent, saves new information, and retrieves the most relevant context for your LLM.
- **Granular Tools**: A full suite of API tools (add_memories, search_memory, deep_memory_query) for developers who need direct, fine-grained control.
- **Secure and Private**: User context is stored securely, under your control.
- **Flexible Hosting**: Use our managed cloud service for a zero-setup experience or self-host the entire stack for complete control.
How It Works: The Orchestration Engine
Jean Memory operates on a two-layer architecture: an intelligent orchestration layer and a core API of granular tools.
1. **Orchestration Layer (jean_memory tool)**: This is the primary, intelligent entry point. When called, this tool analyzes the user's message and conversation history to determine the optimal context strategy. It then calls the necessary core tools to gather information, synthesizes the results, and provides a perfectly engineered context package to the AI. It also handles background memory saving.
2. **Core API (Granular Tools)**: These are the underlying building blocks that the orchestrator uses. They are also exposed via a REST API for developers who need direct, granular control for building custom agents or applications.
For detailed information, please refer to our full **API Documentation**.
🧪 SDK Testing (For Developers)
**Testing the Jean Memory SDKs?** Use these guides:
- **Quick 5-Minute Test** - Rapid verification of all SDKs
- **Complete Testing Guide** - Comprehensive testing instructions
Local Development Setup
Run the entire Jean Memory stack on your local machine for development and self-hosting.