一个轻量、极速的进程内向量数据库
llm-memory 开源项目推荐(692 个)
llm-memory 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 692 个仓库Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.
面向 AI 聊天机器人应用的基于用户画像的长期记忆。
跨 43 个智能体的 Claude Code 记忆、Codex 记忆、Cursor 记忆、OpenCode 记忆、Gemini CLI 记忆、Windsurf 记忆与 Cline 记忆。AI 编程记忆、Claude Code 历史、Cursor 历史、本地编程智能体记忆、MCP 记忆服务器与 Claude 上下文压缩。
基于Qwen-3和Stable Diffusion系列的DeepSeek Engram架构研究。
令人敬畏的AI记忆|LLM记忆|针对LLM和代理的人工智能记忆精心策划的知识库,涵盖长期记忆、推理、检索和内存原生系统设计。 Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库,系统性整合了与 大模型记忆(LLM Memory)和智能体记忆(Agent Memory)相关的前沿研究、工程框架、系统设计、评测基础与真实应用实践。
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Independent Autistic Intelligence——为你的 AI 打造的赛博大脑。它从不会忘记任何细节,能准确记住你说过的话,并随着时间了解你的工作方式。免费、本地运行,兼容 Cursor、Claude Code、Codex、OpenClaw、Hermes 等。MIT 许可。
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Stop re-teaching your agent. Make your agent's memory work like a brain. Hippo is long-term memory for coding agents. It's a critical layer for your AI harness that connects across your different tools (Cursor, Claude Code, Codex). It keeps your proprietary data completely local, and it actually learns over time.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
Give Claude Code photographic memory in ONE portable file. No database, no SQLite, no ChromaDB - just a single .mv2 file you can git commit, scp, or share. Native Rust core with sub-ms operations.
Caura(原 MemClaw)——面向 AI 智能体集群的受治理共享内存。多智能体、多租户、MCP 原生。信任层级、核心策略、审计追踪、知识图谱、自我改进的检索。Apache 2.0。
Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.
只需 3 行代码即可为 LLM 提供即插即用的记忆。几分钟内为任何模型添加持久、智能、类人的记忆与回忆能力。
世界上第一个在LoCoMo上实现74%检索和60%零LLM的本地AI内存。没有云,没有API,也没有数据流出你的机器。此外,C模式(LLM/云端)的LoCoMo比例为87.7%。有研究支持。arXiv: 2603.14588
智能人工智能记忆与埃宾豪斯忘记曲线衰减。比《LoCoMo》的记忆力+16页。
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/llm-memory。
- 该话题在 GitHub 上共有 692 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3.5 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。