Bảng xếp hạng repo GitHub theo sao, tốc độ tăng trưởng và mức độ hoạt động.
A lightweight, lightning-fast, in-process vector database
User Profile-Based Long-Term Memory for AI Chatbot Applications.
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库,系统性整理了与 大模型记忆(LLM Memory)与智能体记忆(Agent Memory) 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
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.
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.
| # | Repo | Ngôn ngữ | Sao | Xu hướng 30 ngày | Cập nhật lần cuối |
|---|---|---|---|---|---|
| 1 | A lightweight, lightning-fast, in-process vector database | C++ | 15.871 | push cuối Hôm qua | |
| 2 | User Profile-Based Long-Term Memory for AI Chatbot Applications. | Python | 2.890 | push cuối 8 tháng trước | |
| 3 | Memory that AI Agents Love! | Python | 1.862 | push cuối Hôm qua | |
| 4 | Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库,系统性整理了与 大模型记忆(LLM Memory)与智能体记忆(Agent Memory) 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。 | Python | 1.210 | push cuối 2 ngày trước | |
| 5 | 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. | Jupyter Notebook | 1.044 | push cuối 6 ngày trước | |
| 6 | 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. | Go | 523 | push cuối Hôm qua |
Tất cả · 11.474