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We're launching Bindu, a simple way to connect AI agents

github.com

4 points by ai_biden a month ago · 10 comments

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abhijeetst22 a month ago

This makes a lot of sense given the current fragmentation in the agent ecosystem. Every framework has its own way of doing things, so wiring multiple agents together is repetitive and brittle. Treating agents as small services feels like the right abstraction.

One thought: as agents start behaving like services, developers will probably want a hosted runtime (something like “Vercel for agents”). Not everyone will want to run their own infra or manage identities/payments for each agent.

Is the plan for Bindu to stay SDK-only, or do you eventually see a managed platform for hosting these agents?

rathijit a month ago

Smart move! A much needed common Agent framework. Can’t wait to see how it helps agents to spin up quickly with low infrastructure and communication code change.

murthy27 a month ago

Awesome! Much needed in today’s world where there is a new agentic framework evolving every day. Agents too deserve to communicate and collaborate.

rajezmariner a month ago

Great feature and something new. Really excited to see Bindu growing and awaiting its future releases.

rajezmariner a month ago

This is really interesting and new one. Excited for the upcoming and feature release for the same.

shelleydutta a month ago

Are you using x402 in back?what's the difference with a2a

shivansh-kh a month ago

bindu will basically act as a discovery layer for all agents, you won't have to build all the agents yourself.

ai_bidenOP a month 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.

raahul_rahl a month ago

What’s the difference with mcp

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