raahul_rahl
Joined 5 years ago
Karma
11
Submissions
36
Member since
May 7
Recent submissions
Comment · 11 months ago
What’s the difference with mcp
Comment · 11 months ago
have faced this problem a lot - but a langchain agent, that agent cant talk with another agno team, the agno team cant talk with crew. the sometimes the agent is in different cluster, network. built the tool - let me know your view.
Comment · 11 months ago
The identity, communication & payments layer for AI agents
For the past year, while building agents across multiple projects and 278 different frameworks, one question kept haunting us:
Why can’t AI agents talk to each other?Why does every agent still feel like its own island?
What is Bindu? Bindu is the identity, communication & payment layer for AI agents, a way to give every agent a heartbeat, a passport, and a voice on the internet - Just a clean, interoperable layer that lets agents exist as first-class citizens.
With Bindu, you can: Give any agent a DID: Verifiable identity in seconds.Expose your agent as a production microservice One command → instantly live. Enable real Agent-to-Agent communication: A2A / AP2 / X402 but for real, not in-paper demos. Make agents discoverable, observable, composable: Across clouds, orgs, languages, and frameworks.Deploy in minutes. Optional payments layer: Agents can actually trade value. Bindu doesn’t replace your LLM, your codebase, or your agent framework. It just gives your agent the ability to talk to other agents, to systems, and to the world.
Why this matters Agents today are powerful but lonely. Everyone is building the “brain.”No one is building the internet they need. We believe the next big shift isn’t “bigger models.”It’s connected agents. Just like the early internet wasn’t about better computers, it was about connecting them.Bindu is our attempt at doing that for agents.
If this resonates… We’re building openly. The repo is here → https://github.com/getbindu/bindu Would love feedback, brutal critiques, ideas, use-cases, or “this won’t work and here’s why.” If you’re working on agents, workflows, LLM ops, or A2A protocols, this is the conversation I want to have. Let’s build the Agentic Internet together. Cheers - Raahul
Comment · 11 months ago
This scratches an itch I’ve had for months. Right now our agents communicate through a mix of webhooks, Redis queues, and custom JSON schemas… and it’s very brittle.
How do you handle:Schema evolution over time?Versioning between agent endpoints?Observability (tracing, logs, per-message introspection)?
If you have solid answers here, you might have something important.
Comment · 2 years ago
Is Google breaking up into multiple parts?
Comment · 2 years ago
Location: Amsterdam
Remote: yes
Willing to relocate: Yes
Technologies:: Rust, RAG, LLM Serving, Model Deployment KServe, Kubeflow, Distributed Training , LLM Fine Tune
Résumé/CV: https://bit.ly/4dKBxbz
Email: [email protected]
Hey, I am Raahul - looking for AI Lead, Architect, Consultant, CTO.With over a decade of experience, I lead the transformation of AI research into production-ready tools, backed by 10+ patents. My work spans major corporations and startups, specializing in scalable, low-latency AI implementations.
Comment · 2 years ago
SEEKING WORK | REMOTE | WORLDWIDE
Freelance AI, LLM, Agents Developer, for hire, remotely asap.
Hey I am Raahul - Loooking for AI Lead, Architect, Consultant, CTO.With over a decade of experience, I lead the transformation of AI research into production-ready tools, backed by 10+ patents. My work spans major corporations and startups, specializing in scalable, low-latency AI implementations.
Skills: Rust, RAG, LLM Serving, Model Deployment KServe, Kubeflow, Distributed Training , LLM Fine Tune
Resume/CV: https://bit.ly/4dKBxbz LinkedIn: https://www.linkedin.com/in/raahuldutta/ Email: [email protected]