Tencent-Hunyuan / Hy-Memory

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 
---
## Latest News
* * [new] * 🔥🔥🔥 **[2026-10]**: 🚀 **Open-sourced** quantized **FP8** (**Hy-Memory-30B-A3B-FP8**) and **GGUF** (**Hy-Memory-30B-A3B-GGUF**) versions of **Hy-Memory-30B-A3B** on Hugging Face!
* * [new] * 🔥🔥🔥 **[2026-10]**: 📦 **Released MemHub v1.0.4** and **memhub-cli 1.0.5**, with a signed macOS desktop app and verified macOS/Linux Runtimes!
* * [new] * 🔥🔥🔥 **[2026-10]**: 🚀 **Released** **Hy Memory 2.0 (`hy-memory==2.0.4`)** on PyPI and open-sourced the **Hy-Memory** monorepo together with **MemHub**!
* * [new] * 🔥🔥🔥 **[2026-10]**: 🚀 **Open-sourced** **Hy-Memory-30B-A3B** on Hugging Face along with its technical report on attributed reinforcement learning for long-term memory writing!
* * [new] * 🔥🔥 **[2026-09]**: 📊 **Released** **CMB: A Coding Memory Benchmark for Long-Horizon and Interleaved Coding Agents** (submitted to **ICLR 2027**).
* * [new] * 🔥🔥 **[2026-08]**: 🎉 **Accepted** at **EMNLP 2026**: **Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents**!
* 🔥 **[2026-05]**: 🌟 **Initial Release** Released **Hy Memory 1.0**, our first-generation dual-system cognitive memory framework for self-evolving LLM agents.
---
## Papers
Welcome to the **Hy Memory Research Family**, covering cognitive chat memory, long-horizon coding memory, and RL-trained memory writing models:
> **Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents** *(Accepted at **EMNLP 2026**)* 
> **TL;DR:** Proposes the dual-process (System 1 + System 2) cognitive memory architecture for **Chat**, organizing personal memory into an 8-layer hierarchy (raw dialogues, atomic facts, summaries, schemas, and prospective intentions) with conflict reconciliation and cross-domain schema induction. 
> 📄 Paper: https://arxiv.org/abs/2606.09483
> **CMB: A Coding Memory Benchmark for Long-Horizon and Interleaved Coding Agents** *(Submitted to **ICLR 2027**)* 
> **TL;DR:** Introduces a benchmark and two-layer + version-evolution diff-chain memory method for long-horizon **Coding** agents, preserving both reusable engineering experiences and exact code revision trajectories across interlea