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ai_biden | 2 months ago

Hey HN, Raahul here. We’re building an open source agent coommunication sdk called Bindu (https://github.com/GetBindu/Bindu).

so that they can collaborate, trade and negotiate.

Example: “Should I invest in NVIDIA tomorrow?”

Imagine you want a collaborative result not a single agent/team output.

You spin up *5 different AI agents*, each running in a different system, diffrnet auth and paywall:

- One langchain agent reads *NVIDIA’s latest earnings & presentations* - One agno agent analyzes *competitors* (AMD, Intel, etc.) - One crew agent reads *market & macro reports* - One openai agent tracks *recent news & filings* - One adk agent combines everything and gives a final recommendation

Today, connecting this is messy. Each agent is a script. Every connection is custom glue code.

## What Bindu does here

With Bindu:

- Each agent gets a *simple URL* - Agents can *call each other directly* - The final “decision agent” just calls the other four - No framework lock-in, no custom wiring - A common context - all the agents can share.

That’s it.

## So what is Bindu?

*Bindu makes AI agents behave like small services.*

Once an agent is on Bindu: - it can be called like an API - other agents can use it - you can reuse it across projects - you don’t care where or how it’s running

Agents stop being isolated scripts and start becoming building blocks.

## Why we built it

While building agent-based products, 278 difrrent frameworks we kept hitting the same wall:

Agents are getting smarter, but *they don’t work together easily*.

We didn’t want another agent framework. We wanted a simple way to connect agents that already exist.

So Bindu focuses on one thing: *making agents easy to connect and reuse.*

If you’re building multi-agent systems and feel like you’re rewriting the same wiring over and over, I’d love to hear your thoughts.

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