Best Open Source RAG Frameworks
Ranked by GitHub stars and 343 days of tracked growth. The top open source RAG frameworks below are updated daily â pick two to see a full side-by-side comparison.
1
open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
2
langchain
The agent engineering platform.
3
graphify
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.
4
claude-mem
Persistent Context Across Sessions for Every Agent â Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
5
ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
6
crawl4ai
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. Join our Discord https://discord.gg/VuxzM8mtf
7
hello-agents
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8
Prompt-Engineering-Guide
ð Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
9
headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
10
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
11
serviette
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
12
Flowise
Build AI Agents, Visually
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