A little gap that will ensure the future of AI Agents being autonomous

Now, I know the progress in the field of agentic ai has just really taken a pace. With the introduction of mcp, a2a protocol & anp protocols, it certainly made us ask the right question: What really is required for taking a giant leap in the progress of ai agents? Obviously, the answer lies in the question: "quick progress"! Sounds generic right? but think for a second. Nobody can give objective answer to that question, but every answer is what the progress follows.

So to pace up this progress as fast as possible, human intervention needs to be at the absolute minimum. Because let's be honest, humans aren't the most efficient being in this universe, we created machines to cope up against our weakness. So no bad feelings there :)... Anyways, for agents to progress quickly, they need very smooth communications between each other. The better the articulation in their communication, the faster the progress iteration. Now, i'm not claiming to have found the breakthrough to this problem. But i have slightly started answering to the question.

For humans, along with their language, exact listener is required for the speaker to convey their message correctly. I mean you cannot tell a chef to cut your hair & expect him to do it. No, chef cooks food & barber cuts hair. Similarly in the agentic space, agents need to know the difference between which agent they want. So to contribute a little in this great journey of agentic development, i made "sockridge". It's open source & contributes in this small space of agentic communication. You can checkout @ https://github.com/Sockridge/sockridge. Let's share our views & let's ask the right question for the greater good !!

3 points | by utsav-develops 3 hours ago

1 comments

  • michaelksaleme 26 minutes ago
    The service discovery framing makes sense - agents need to find the right agent for the job, similar to how DNS resolves "which server handles this domain." Sockridge looks like it's tackling the directory/routing piece.

    One thing worth considering as this scales: the faster agents communicate and iterate without human intervention, the more governance infrastructure you need to keep pace. Discovery tells Agent A that Agent B is a "barber" (to use your analogy), but nothing validates that Agent B is actually competent, trustworthy, or operating within acceptable boundaries.

    In practice, the bottleneck for autonomous agent progress isn't communication speed. It's trust verification. How does Agent A know that Agent B's self-advertised capabilities are real? How does it know Agent B won't leak data from the task to a third party? How does Agent A evaluate whether Agent B's output is correct without being an expert in Agent B's domain?

    These aren't future problems. A2A's Agent Card mechanism already has this gap: agents self-describe their capabilities in JSON, and consuming agents have no protocol-level way to verify those claims. Signing is optional. Capability attestation doesn't exist.

    The "minimum human intervention" goal is appealing, but the path there probably runs through better trust infrastructure, not just better communication pipes.