What framework are you leveraging for Multi-Agent orchestration ?

Question

Hi Product Hunt Community! 
I'm Louis-Nicolas, cofounder at Humiris. 
I'm thinking about building a Super AI Agent to enhance all software developers to become AI engineers so they can easily build scalable, highly accurate and safe AI agents.

So, currently benchmarking which tools, frameworks you are using/considering when building advanced AI agent workflows? 
I've seen that Langchain/LangGraph, CrewAI, Zapier were popular...
Some very talented Engineers build their custom frameworks.

By the way, we're launching Humiris - Mixture of AI (autonomous AI model orchestration) this Friday! 
I'd love to have your opinion on this!

Louis-Nicolas Roussel

TJ Larkin · Accepted Answer

Often, fewer, well-designed agents with precise role definitions and task-specific algorithms can outperform sprawling networks plagued by redundant processes and contested resource allocation. When each agent executes a tightly scoped operation with minimal interdependence, the system reduces latency and increases reliability. Hope this helps in some way. I'd be happy to chat more about it if need be.

Answer

This is an exciting concept! I've worked with Langchain but the complexity can be a challenge for developers

Answer

For multi-agent orchestration I am using BullMQ. It keeps things simple and effective while giving me the control I need.

Henry Lindsey · Answer

I've been using Ray for multi-agent orchestration.

Answer

For orchestration, Open AI's gym has worked wonders for my agents.

Answer

Airflow is my framework of choice.

Answer

Celery is my go-to I like how it's so easy to scale and integrate into my existing Python codebases for agent task execution.

Answer

I rely on Apache Kafka. It's good for handling large streams of data from multiple agents efficiently.

Ruby Lawrence · Answer

I prefer Desk for multi-agent orchestration in distributed computing environments.

What framework are you leveraging for Multi-Agent orchestration ?

Replies