AgentTrust
AI agent-to-agent collaboration suite (A2A)
What it does
AI agents are starting to work with other agents — across teams, companies, and platforms. But there's no standard way to verify who's on the other end. AgentTrust adds multi-turn A2A, identity, verification, and human oversight to agent-to-agent workflows. Built on Google's A2A protocol. → Ed25519 signed messages (tamper-proof, non-repudiable) → Human-in-the-loop escalation rules → 13 tools via MCP server — one install → InjectionGuard for untrusted inputs
Does the same job
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- TPTrust Protocols for Anthropic/OpenAI/GeminiFeb 2026 · mnemom.ai · ▲40
Much 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:…
- AAAn A2A-compatible, open-source framework for multi-agent networksNov 2025 · github.com · ▲42
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