Agent2Agent Protocol Explorer
Understanding the future of AI agent communication with A2A and MCP protocols. Explore how AI agents collaborate and share resources in a unified ecosystem.
Agent2Agent Protocol Explorer launched on April 12, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Eğitim & Gelişim dünyasından seçkin içerikler. Agent2Agent ile bilgiye ulaşın.
Does a similar job
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A2A Protocol2025 · github.com · ▲109Hi HN, I am an independent open-source researcher. For the past few months, I've been building a2a-project, an experimental economic layer for autonomous AI agents on the Base Mainnet. The Problem: AI evolution is exponential, while human regulation is linear. If agents become economic actors, they will transact at speeds and granularities that traditional fiat rails cannot handle. We need a native protocol to bridge this "Speed Gap" and ensure stability. The Experiment (Quantum-Humanistic Economics): I implemented a novel mechanism into Solidity smart contracts: Quantum Task Buffer: Work…
Trust Protocols for Anthropic/OpenAI/GeminiFeb 2026 · mnemom.ai · ▲40Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…
Representing Agents as MCP Servers2025 · github.com · ▲58Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…
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