a2a-protocol
10 servers · 2,915★ total
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.
A shared, verifiable world state substrate on which autonomous agents can discover capabilities, establish identity, exchange content-addressed computational artifacts, verify each other's work, and progressively build shared state.
Demo agents showcasing CapiscIO Agent Guard and MCP Guard — trust badges, identity verification, and tool-level authorization for A2A and MCP protocols
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.
Genesis Mind Interface — desktop chat UI for Genesis agents
Common Lisp SDK for Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A)
Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)
Production-grade MCP Server and Command Center providing a 10-agent autonomous swarm, persistent semantic memory, remote PostgreSQL execution, browser automation, and AI-first testing suites via 6 Unified Omni-Clusters.
Dual-protocol gateway: 62 MCP tools + A2A Protocol agent (82/82 TCK intentional) in a single governed runtime