Tencent-Hunyuan/Hy-Memory
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README & documentation
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Hy Memory Production-grade dual-system cognitive memory for LLM agents. English | 中文 Hy Memory (Official Website) is a production-grade dual-system cognitive memory engine and Python SDK (hy-memory) for self-evolving LLM agents, providing specialized memory pipelines across three task scenes: hierarchical long-term cognitive memory for Chat, two-layer fact and reusable-experience memory for Working, and version-evolution diff-chain tracking for Coding. Built on top of Hy Memory, MemHub is a local-first desktop and CLI product that unifies conversation history and coding traces from user-authorized AI applications (such as Claude Code, Cursor, Codex, OpenCode, and Qwen Code) into a single managed runtime and local data directory, enabling governed cross-application memory recall. MemHub Demo Video Welcome to the Hy Memory Research Family, covering cognitive chat memory, long-horizon coding memory, and RL-trained memory writing models: Only an LLM and an embedding endpoint are needed; any OpenAI-compatible service works: Or use the OpenAI defaults with a single…
Read the full README ↗ · Preview checked 2026-10-27T12:30:25.866Z
Inside the original README — Document outline
- Latest News
- Papers
- Quick Start
- 1. Installation
- 2. Configuration
- 3. Chat Memory
- 4. Working & Coding Memory
- 5. Routing, Source Isolation & Advanced APIs
- System Architecture
- 1. Chat: Memory Hierarchy
- 2. Working: Two-Layer Productivity Memory
- 3. Coding: Two-Layer Memory + Version-Evolution Chain
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Repository facts
- Owner
- Tencent-Hunyuan
- Primary language
- Python
- Stars
- 1,902
- Forks
- 124
- Open issues + pull requests
- 89
- License
- Other
- Archived
- No
- Default branch
- main
- Created
- 2026-10-15T13:06:56.000Z
- Last push
- 2026-11-01T12:02:01.000Z
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