AI frameworks shouldn’t feel like juggling chainsaws

Every time we built an agent workflow, the pattern was the same-

great demos, endless chaos in production.

Retries, timeouts, context loss, concurrency bugs…

and a dashboard that says “running” when everything’s actually on fire.

So instead of patching it again,

we built something that stops breaking.

GraphBit- an open-source, Rust-powered agentic AI framework that treats workflows like infrastructure, not improvisation.

• Rust for execution (fast, safe, lock-free)

• Python API for accessibility

• Observability, retries, timeouts, and circuit breakers baked in

• Multi-LLM orchestration that actually holds under load

No magic, just stability.

No black boxes, just transparent orchestration.

We’ve open-sourced it on GitHub so developers can try it, stress-test it, and tell us what hurts.

👉 https://github.com/InfinitiBit/graphbit

If you’ve ever watched your “working demo” collapse at scale,

you’ll understand why we built this.

Would love your feedback — what’s the one thing that’s broken your AI workflows the most?

-Musa

Co-founder, GraphBit