A unified AI agent system integrating Retrieval-Augmented Generation (RAG), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP) for document processing, web search, and intelligent task delegation.
agentic-rag-a2a-mcp is an early-stage Python project in the AI payments / x402 ecosystem, focused on a2a-mcp, a2a-protocol, agent-to-agent, agentic-ai. It currently has 1 GitHub stars and 3 forks, and sits alongside related tools like aser, join.cloud, summoner-agents.
Aser is a lightweight, self-assembling AI Agent frame.
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
A collection of Summoner clients and agents featuring example implementations and reusable templates