Agentic RAG GitHub Repositories (2026) · Open Source Tools

Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

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.

Memory library for building stateful agents

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.

MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts.

Agent orchestration service for the Agent Landing Zone, built on Microsoft Foundry Agent Service and Microsoft Agent Framework. Coordinates specialized agents for conversational experiences with grounded knowledge, NL2SQL and MCP tools.

Enterprise-grade landing zone for AI agent applications on Azure. Deploy the secure infrastructure, the agent app, or both — built on Microsoft Foundry and Microsoft Agent Framework, with Zero-Trust networking, observability and IaC.

The .NET library to build AI agents with 30+ built-in connectors.