agentic-rag
16 servers · 1,131★ total
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP exits.
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
Advanced Agentic Development Environment for DevPods, GitHub Codespaces, Rackspace Spot & more. Ruflo orchestration, 215+ MCP tools, 60+ AI agents & automatic context loading. Deploy multi-agent swarms, coordinate autonomous workflows.
MCP server that lets Claude Code and other AI agents work through large PDFs, and whole folders of them, without overflowing context: hybrid semantic + keyword search, selective page reading, tables, images, OCR, chart data, and multi-column/CJK layouts.
Shared memory bus for MCP-compatible agents with permissions, subscriptions, and optional payments.
Self-hosted Dakera AI memory server — Docker Compose, Kubernetes, Helm, HA cluster setup, and monitoring.
🔒 Privacy-first MCP server for Claude using PostgreSQL + Ollama. Local alternative to cloud-based code context with full data sovereignty. No API keys, no external calls, 100% local.
Simple RAG implementation from scratch using MCP, focusing on Perception, Memory, Decision and Action
Multi-agent Claude Code you can actually control. Spawn specialist teams in tmux, watch them work side-by-side, steer when needed. Built on native Claude Code agents. No black boxes.
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.
Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
This repository is the official companion for the Azure AI Foundry Agent Service Webinar Series. It provides hands-on code samples, modular use cases, and practical guides for building, deploying, and scaling AI agents on Azure.
Universal, cross-tool persistent memory bank for AI assistants (Claude Code, Cursor, Windsurf, OpenCode, Codex) powered by FastMCP, Gemini embeddings & Supabase pgvector.
Agentic RAG Chatbot using Model Context Protocol (MCP) to answer queries from PDFs, Word, and PPT files.
MCP server for Obsidian GraphRAG, agent-ready context, preview-only planning, and safe repo handoffs