12 open-source projects share topics or a category with LightRAG. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Choose graphify if…
Apache License 2.0 suits your use better than MIT License
you want something your agent can install directly rather than a library to wire up yourself
you want the more widely starred option (141.6k)
you specifically need ai-agents or antigravity
Shares graphrag, knowledge-graph, llm, rag with LightRAG.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Choose haystack if…
Apache License 2.0 suits your use better than MIT License
you specifically need agent-framework or agentic-ai
Shares genai, large-language-models, llm, rag with LightRAG.
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Choose llm-wiki-agent if…
you prefer a smaller, narrower project to a large one
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Choose llm-app if…
you would rather work in Jupyter Notebook than Python
you specifically need chatbot or hugging-face
Shares llm, rag, retrieval-augmented-generation with LightRAG.