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
120
工具排名
Ranked by normalized popularity across sources. 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活跃
AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.
github实测增长打开来源 ↗
72GitHub 星标+2 (+2.9 %) - 2活跃
Cortex
MCPCross-platform persistent memory MCP for Codex, Gemini CLI, Claude Code, and other local MCP hosts. 36 cited neuroscience mechanisms, local-first SQLite/PostgreSQL, hybrid retrieval, decay-based consolidation, and reproducible benchmarks.…
github实测增长打开来源 ↗
71GitHub 星标稳定 - 3活跃
The official Pinecone marketplace for Claude Code Plugins
github实测增长打开来源 ↗
安装
/plugin marketplace add pinecone-io/pinecone-claude-code-plugin68GitHub 星标稳定 - 4活跃
Local-first MCP memory server: SQLite, FTS5 and vector search, AES-256-GCM. 55 tools, no cloud.
mcp实测增长打开来源 ↗
67GitHub 星标稳定 - 5活跃
Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional
github实测增长打开来源 ↗
67GitHub 星标+1 (+1.5 %) - 6活跃
Token-efficient code review knowledge graph: semantic search and call-graph resolution.
mcp实测增长打开来源 ↗
安装
claude mcp add better-code-review-graph -- uvx better-code-review-graph66GitHub 星标稳定 - 7活跃
ruvnet-brain
MCPRuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet),…
github实测增长打开来源 ↗
65GitHub 星标+1 (+1.6 %) - 8活跃
Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants
github实测增长打开来源 ↗
安装
git clone https://github.com/landing-ai/ade-document-processing-skills ~/.claude/skills/ade-document-processing-skills64GitHub 星标稳定 - 959GitHub 星标稳定
- 10活跃
PatentRadar
智能体专利侵权分析系统 —— 输入专利公开号,产出竞品侵权分析报告;同时打包成 skill,可被任意 agent(dsh, codex, claudecode 等) 调用。
github实测增长打开来源 ↗
59GitHub 星标+2 (+3.5 %) - 11活跃
zeph
其他A memory-first AI agent that remembers why decisions were made — not just the last message. Runs local (Ollama), cloud (Claude · OpenAI · Gemini), or decentralized TEE. Graph memory, self-learning skills, multi-model routing, sandboxed…
github实测增长打开来源 ↗
58GitHub 星标+1 (+1.8 %) - 12活跃
ChatCrystal
MCPLocal-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory.
github实测增长打开来源 ↗
58GitHub 星标+3 (+5.5 %) - 13活跃
Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. Alternative to claude-mem…
github实测增长打开来源 ↗
57GitHub 星标+3 (+5.6 %) - 14活跃
Local semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.
mcp实测增长打开来源 ↗
安装
claude mcp add smart-connections-mcp -- npx smart-connections-mcp54GitHub 星标稳定
学习与参考资源
Ranked by normalized popularity across sources. 这些资源可单独访问,不参与主要排名。
- 1活跃打开来源 ↗
Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and numbers, not prompt tips
github资源实测增长46GitHub 星标稳定 - 2活跃打开来源 ↗
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
github资源实测增长18GitHub 星标稳定 - 3活跃打开来源 ↗
🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep research, MCP servers, PDF parsing, systematic review). 面向智能体文献综述的最强工具大全。
github资源实测增长16GitHub 星标+3 (+23.1 %) - 4活跃打开来源 ↗
Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.
github资源实测增长2GitHub 星标稳定 - 5活跃打开来源 ↗
Comprehensive collection of AI concepts, research findings, and practical implementations. From machine learning fundamentals to cutting-edge LLMs, agents, and emerging technologies.
github资源实测增长1GitHub 星标稳定 - 6活跃打开来源 ↗
Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.
github资源实测增长1GitHub 星标稳定