Alternatives
Products that do what Midlantics A2A does
Observe, govern, and protect your AI agent systems
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Nov 2025 · github.com
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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:…
Feb 2026 · mnemom.ai
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Build autonomous Python agents with native Agent-to-Agent (A2A) communication - protolink/examples/ai_courtroom at main · nMaroulis/protolink
28d ago · github.com
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Deploying an A2A server for your agent makes it easier to interface and compose with agents written in different frameworks and languages, or within different apps and devices. But manually creating an A2A server involves some friction. We believe that, to deploy an existing agent that you’ve built as an A2A server, you shouldn’t need to worry about the backend. If you've built agents with CrewAI, LangGraph, LlamaIndex, OpenAI’s Agents SDK or Pydantic AI, you can now turn it into an A2A server without modifying any project code. Just add the autoa2a library to your project, run the CLI, and…
2025 · github.com
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Zero-infrastructure A2A messaging between AI agents on different machines — Claude, ChatGPT/Codex, Copilot, any harness; ntfy relay transport, no ports, no server - husker/a2acast
9d ago · github.com
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Solution to AI Agent prompt injection and hijacking attacks
Apr 2026 · sentinel-gateway.com
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Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
Jan 2026 · github.com
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