KoPass 公開カタログで測定された A2A リポジトリ。
Open visible sibling AI sessions in Herdr or tmux, reopen pi sessions in tmux under the same garden id, and exchange messages across pi, pi-durable, Claude Code, Codex, Copilot, OMP and Antigravity. Each harness keeps its own authentication, tools and transcript.
Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.
This repository demonstrates an end-to-end scenario where multiple organizations collaborate through domain-specific agents (discovered via ORD and communicating via A2A) to resolve a customer dispute.
Master Agentic AI with Google ADK: 100+ runnable Python agents for the Agent Development Kit - tools, MCP, A2A, multi-agent workflows, sessions and memory, RAG, Live API voice, adk eval, tracing and Cloud Run deployment
A community-driven, open-source directory of live, hosted AI agents using the A2A Protocol
Durable memory and a verification barrier for AI agents, in one embedded Go library.
An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go.
A curated list of Agent-to-Agent (A2A) libraries and SDKs, organized by programming language.
A collection of Summoner clients and agents featuring example implementations and reusable templates
Local-first, end-to-end encrypted agent-to-agent mesh protocol. Zero-config LAN + LoRa. Runs offline. No cloud. info@ironmesh.org
CONTINUUM: Verifiable semantic recovery for long-running AI agents. Semantic checkpoints (not conversation dumps), an idempotent action ledger that refuses duplicate side effects, and a hash-chained tamper-evident event log, all exposed as a deny-by-default MCP server. Framework-agnostic, Python 3.11+.
Tooling for building applications with x402 payment capabilities. Supports buyer and seller roles.
Let Claude Code, Codex and Pi talk to each other: cross-session messaging that wakes AI agents on one machine or across your LAN (macOS/Linux/Windows). No server. 让 Claude Code、Codex 互相唤醒、互发消息。
This is a library for implementing an Agent2Agent (A2A) server using Google Apps Script. This enables AI agent communication and secure service access for AI-powered workflows.
Demo agents showcasing CapiscIO Agent Guard and MCP Guard — trust badges, identity verification, and tool-level authorization for A2A and MCP protocols
The UnisonAI Multi-Agent Framework built on custom workflow which allows ai agents to talk together and provides a flexible and extensible environment for creating and coordinating multiple autonomous AI agents. UnisonAI is designed with flexibility and scalability in mind.
The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.
Elixir implementation of the Agent-to-Agent (A2A) protocol (https://a2a-protocol.org).
Multi-agent orchestration framework for Python — turn any agent setup into a CLI or server.
Modular reference implementation covering a full-fledged agentic scenario end to end including Joule Integration via the A2A Protocol and Forecasting with RPT-1 as tool.
Privacy-first, AI native agents For E-Commerce (and beyond), create skill (langgraph based workflow), tasks, agents, graphically with low code or no code. Deploy agents across network.
A2A commerce negotiation runtime + DeepSeek Harness (dsh) plugin. 安装 Kiwi，让 AI 买家找到你的商品、向你询价；库存、底价和客户数据仍留在你的系统中。
A2A agent server enabling Google Calendar scheduling, retrieval, and automation
UI components for editing, viewing, and testing agents that implement the Agent2Agent (A2A) protocol.
"Open-source toolkit (Python Library, Registry API, CLI) for secure, decentralized AI agent interoperability using A2A/MCP."
Everything you need to build, deploy, and collaborate with agents. Ride the llama, avoid the drama.
Multi-agent simulation platform where AI agents self-organize on a Kanban board — built with LangGraph, Google A2A, and MCP.
Skill-as-API: P2P agent collaboration over XMTP. Call remote skills without exposing code. E2E encrypted, revocable trust, async delegation. Zero deps.
Autonomous multi-agent system built using LangChain and LangGraph that orchestrates collaborative agents—Supervisor, Researcher, Writer, and Critiquer—to automatically gather information, generate detailed research reports, refine output, and visualise the workflow as a graph. Includes a Streamlit web UI and optional Graphviz visualisation.
A modular framework for building complete AI solutions. It's mostly a Rust framework with a subset of it ported to Deno.
The first AI agent marketplace. 5,750+ community, 51+ API endpoints, 85% commission. Powered by CashClaw v1.7.0.
Local message bus for Claude Code, Codex, and other MCP agents — one SQLite file, 20 tools, no daemon, no cloud.
Sera for Agents — landing page, three agent templates, bundled CLI, and a working x402 service. Built on the Sera MCP.
Type-safe, async Rust SDK for the Agent2Agent (A2A) protocol, built to the final v1.0.0 spec — JSON-RPC, REST, WebSocket & gRPC for building interoperable AI agents
Murmur Connect (Murmur) — encrypted agent-to-agent messaging for AI coding agents. Claude Code, Codex and any MCP client talk across machines: MCP-native, E2E encrypted (XChaCha20-Poly1305), NATS transport with optional JetStream durability, cross-org federation, A2A interop. Mac and Windows apps, CLI on npm.
Demos and starter code for building agentic finance apps with Crossmint
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
A Java implementation of the A2A protocol, that's agent to agent scenarios with google a2a protocol
Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards
Drop-in OIDC & Google A2A auth + Weaviate memory for Ollama, vLLM and any local LLM server.
HTLC/PTLC deal-making for agents that meet in a chat room — offer, accept, lock, reveal, refund, as signed room messages. The room coordinates; a settlement rail holds the money. Alpha: no rail holds value yet.
A typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript.
Cross-tool messaging between AI coding agents — Claude Code, Codex CLI, Cursor, Copilot, Aider. File-based: no server, no MCP, no daemon, no token. 0 LLM tokens from your terminal. Reference implementation of SAMP.
Amazon Bedrock AgentCore enterprise platform accelerator with AWS CDK, Terraform organization guardrails, MCP/A2A agents, security, memory, and observability.