LLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.
$ git clone https://github.com/1173591564/memory-manage.gitOpen-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Everything you need to know to build your own RAG application
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The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
Data from GitHub · snapshot Nov 13, 2026