工具说明为英文。

RAG 与搜索

检索增强、向量数据库、嵌入和语义搜索。

用途

活跃度

排序方式

147

工具排名

按实测增长排序,并在不同来源间归一化。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。

  1. 1
    活跃

    Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in before they go stale — writer ≠ reviewer,…

    github实测增长打开来源 ↗

    安装 git clone https://github.com/alfadur7/llm-wiki-newsroom ~/.claude/skills/llm-wiki-newsroom

    80GitHub 星标+1 (+1.3 %)
  2. 2
    活跃

    Self improving agents through iterations

    github实测增长打开来源 ↗

    105GitHub 星标+1 (+0.96 %)
  3. 3

    技能
    休眠

    小遥搜索,听懂你的话、看懂你的图,用AI找到本地任何文件。让搜索像聊天一样简单。XiaoyaoSearch: Understands your words, reads your images, finds any local file with AI. Making search as easy as chatting.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/dtsola/xiaoyaosearch ~/.claude/skills/xiaoyaosearch

    1 085GitHub 星标+2 (+0.18 %)
  4. 4

    智能体
    活跃

    Ruby's capable AI runtime

    github实测增长打开来源 ↗

    138GitHub 星标+1 (+0.73 %)
  5. 5
    活跃

    Semantic search across Sui documentation and knowledge sources, powered by kapa.ai

    mcp实测增长打开来源 ↗

    需在 MCP 配置中声明的远程服务器 https://sui.mcp.kapa.ai

    7 740GitHub 星标+2 (+0.03 %)
  6. 6
    活跃

    Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

    mcp实测增长打开来源 ↗

    安装 claude mcp add shodh-memory -- npx @shodh/memory-mcp

    276GitHub 星标+1 (+0.36 %)
  7. 7

    活跃

    LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.

    github实测增长打开来源 ↗

    3 248GitHub 星标+1 (+0.03 %)
  8. 8
    未知最近提交:暂无数据

    Embeddings, Retrieval, and Reranking

    pypi实测增长打开来源 ↗

    安装 pip install sentence-transformers

    5 313 2577 天下载量-2 351 474 (-30.7 %)
  9. 9
    未知最近提交:暂无数据

    Interface between LLMs and your data

    pypi实测增长打开来源 ↗

    安装 pip install llama-index

    735 8917 天下载量-755 018 (-50.6 %)
  10. 10

    智能体
    活跃

    An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

    github实测增长打开来源 ↗

    4 950GitHub 星标-3 (-0.06 %)
  11. 11

    CLI
    活跃

    Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.

    github实测增长打开来源 ↗

    764GitHub 星标稳定
  12. 12

    其他
    活跃

    The .NET library to build AI agents with 30+ built-in connectors.

    github实测增长打开来源 ↗

    638GitHub 星标稳定
  13. 13

    技能
    休眠

    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.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/memvid/claude-brain ~/.claude/skills/claude-brain

    574GitHub 星标-1 (-0.17 %)
  14. 14

    智能体
    休眠

    Aser is a lightweight, self-assembling AI Agent frame.

    github实测增长打开来源 ↗

    472GitHub 星标稳定
  15. 15
    活跃

    Local-first document management and semantic search for AI coding agents

    mcp实测增长打开来源 ↗

    安装 claude mcp add mcp-documentation-server -- npx @andrea9293/mcp-documentation-server

    342GitHub 星标稳定
  16. 16

    MCP
    活跃

    AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

    github实测增长打开来源 ↗

    254GitHub 星标-3 (-1.2 %)
  17. 17

    技能
    活跃

    The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stable (v9.x), or `ork-alpha` for the v10 line, which ships daily.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add yonatangross/orchestkit

    224GitHub 星标稳定
  18. 18
    活跃

    Pure instruction-pack skill wrapping Ai2's Asta MCP server (Semantic Scholar). Intent-to-tool routing, safe defaults, multi-agent.

    github实测增长打开来源 ↗

    182GitHub 星标-1 (-0.55 %)
  19. 19

    其他
    活跃

    Deploy intelligence. Open-source infrastructure for AI agents in production.

    github实测增长打开来源 ↗

    169GitHub 星标-14 (-7.7 %)
  20. 20

    MCP
    已放弃

    Shared Memory Storage for Multi-Agent Systems

    github实测增长打开来源 ↗

    160GitHub 星标稳定
  21. 21

    技能
    活跃

    Local-first, auditable Python code agent. Ships its own 30-task hidden-test benchmark plus SWE-bench Verified scored by the official harness -- every number reproducible, negative results included.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/hwfengcs/DM-Code-Agent ~/.claude/skills/DM-Code-Agent

    151GitHub 星标稳定
  22. 22

    技能
    活跃

    Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/NimaChu/my-wiki ~/.claude/skills/my-wiki

    123GitHub 星标稳定
  23. 23
    活跃

    Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

    mcp实测增长打开来源 ↗

    需在 MCP 配置中声明的远程服务器 https://mcp.apple-rag.com

    116GitHub 星标稳定
  24. 24

    技能
    活跃

    SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/oneal2000/SR-Agents ~/.claude/skills/SR-Agents

    101GitHub 星标稳定

学习与参考资源

按实测增长排序,并在不同来源间归一化。 这些资源可单独访问,不参与主要排名。

  1. 1
    活跃打开来源 ↗

    A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

    github

    安装 git clone https://github.com/kimtth/azure-openai-llm-notes ~/.claude/skills/azure-openai-llm-notes

    资源实测增长
    410GitHub 星标+1 (+0.24 %)