Top graphrag tools
Sustained, decay-weighted momentum leaders tagged “graphrag”.
- 99· newgraphifyAI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.ai-dev-toolsrag-eval+1159.4
- 267· newcode-review-graphLocal-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.ai-dev-toolsmcp-servers+1256.8
- 280· newLightRAG[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"rag-evalgenai+856.7
- 440· newAgentGuidehttps://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成ai-agentsrag-eval+1354.5
- 451· newgortexHigh-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/ysC2prTGDai-dev-toolsmcp-servers+2054.4
- 488· newgraphragA modular graph-based Retrieval-Augmented Generation (RAG) systemrag-evalgpt+654.0
- 1050· newAIGuideAI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。ai-agentsai-dev-tools+1446.3
- 1375· newllm-graph-builderNeo4j graph construction from unstructured data using LLMsrag-evaldata-import+1242.7
- 1534· newmnemGit for AI Agent Knowledge. A persistent, versioned memory layer for AI systems. Hybrid GraphRAG retrieval. Runs entirely offline.mcp-serversrag-eval+835.8
- 1595· newESEILANENewHigh-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.rag-evalai+1426.7
- 1979· newcodegraph-rust100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context managementai-agentsai-dev-tools+1619.9
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