Topics / #agentic-rag

Agentic RAG projects on GitHub

Retrieval-augmented generation pipelines driven by autonomous agents.

As of October 18, 2026, the most-starred Agentic RAG projects on GitHub are ai-agents-for-beginners (77.4K stars), private-gpt (57.6K stars) and OpenViking (40.1K stars). GitHub.Locker tracks 9 Agentic RAG repositories with 284.6K stars combined. The fastest-growing on October 17 was OpenViking, with +78 stars in a day.

9Projects

284.6KStars in total

+191Stars in a day

Browse in the catalog →github.com/topics/agentic-rag ↗

Hot right now

Most stars gained in a day · Oct 17

+78

OpenViking

volcengine/OpenViking · ★ 40.1K

An open-source context database for AI agents: memories, resources, and skills live in one virtual filesystem under the viking:// protocol, so the agent browses its own context with ls, tree, and find instead of querying a black-box vector store.

+74

ai-agents-for-beginners

microsoft/ai-agents-for-beginners · ★ 77.4K

A free Microsoft course of 18 lessons that teaches the fundamentals of building AI agents, from basic concepts to design patterns, multi-agent systems, and production deployment.

+10

haystack

deepset-ai/haystack · ★ 26.8K

An open-source AI orchestration framework for building production-ready LLM applications in Python: modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.

RAG_Techniques

NirDiamant/RAG_Techniques · ★ 29.9K

A community-driven hub of advanced techniques for Retrieval-Augmented Generation (RAG) — grounding LLM answers in retrieved documents, distilled into runnable notebook tutorials.

The all-time top

9 projects · by stars

#1 · microsoft/ai-agents-for-beginners
ai-agents-for-beginners
A free Microsoft course of 18 lessons that teaches the fundamentals of building AI agents, from basic concepts to design patterns, multi-agent systems, and production deployment.
77.4K
#2 · zylon-ai/private-gpt
private-gpt
PrivateGPT is an open-source API layer that turns any local, OpenAI-compatible model into a full production-ready AI application backend, covering RAG, tools, MCP, text-to-sql and more.
57.6K
#3 · volcengine/OpenViking
OpenViking
An open-source context database for AI agents: memories, resources, and skills live in one virtual filesystem under the viking:// protocol, so the agent browses its own context with ls, tree, and find instead of querying a black-box vector store.
40.1K

4
storm
31.7Kstanford-oval/storm · Python
STORM is an LLM-powered system that researches a topic on the Internet and writes a full-length Wikipedia-like report with citations. Co-STORM extends it with human-AI collaborative knowledge curation.
5
RAG_Techniques
29.9KNirDiamant/RAG_Techniques · Jupyter Notebook
A community-driven hub of advanced techniques for Retrieval-Augmented Generation (RAG) — grounding LLM answers in retrieved documents, distilled into runnable notebook tutorials.
6
haystack
26.8Kdeepset-ai/haystack · Python
An open-source AI orchestration framework for building production-ready LLM applications in Python: modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.
7
claude-context
12.6Kzilliztech/claude-context · TypeScript
Claude Context is an MCP server that gives AI coding agents semantic search over your entire codebase, so they can pull relevant code straight into context instead of loading whole directories.
8
ragent
4.3Knageoffer/ragent · Java
Ragent is a production-grade Java platform for Agentic RAG, covering the full chain from document ingestion to intelligent Q&A — including hybrid retrieval, query rewriting, intent recognition, session memory, MCP tool calling and deep thinking.
9
agentic-rag-for-dummies
4.3KGiovanniPasq/agentic-rag-for-dummies · Jupyter Notebook
It is a learning project and modular codebase that shows how to build an Agentic RAG (Retrieval-Augmented Generation) system using LangGraph, including conversation memory and human-in-the-loop query clarification.