GraphBit is a high-performance AI agent framework with a Rust core and seamless Python bindings. It combines Rust’s speed and reliability with Python’s simplicity, empowering developers to build intelligent, enterprise-grade agents with ease.
Most reviews praise GraphBit’s speed, stability, and production readiness, highlighting smooth concurrency, clear docs, and a clean Python API over a resilient Rust core. Makers of LangChain and CrewAI users note GraphBit holds up better at scale, with stronger observability, retries, and multi-LLM orchestration. The maker of
emphasizes real-world reliability, enterprise features, and patent-pending execution. A minority flag suspicious review patterns, but hands-on users report efficient performance even on modest hardware and a notably frictionless setup.
Started using GraphBit in both personal and enterprise settings, and it delivers what it promises — high performance and reliability. The Rust core handles workloads with surprising efficiency, while the Python bindings make iteration fast and painless.
What I appreciate most: production features like observability, safe execution, retry logic, and real monitoring — not just orchestration hype. If you’re serious about scaling AI agents without the usual fragility, GraphBit is one of the most practical frameworks I’ve seen lately.
GraphBit is solving a very real pain point for developers. Most frameworks either give you speed or usability, but not both — and the combination of Rust performance with Python simplicity is a big win.
What stands out most is the enterprise-first thinking: observability, crash resilience, and multi-LLM orchestration aren’t afterthoughts, they’re core to the product. That makes GraphBit feel less like another experimental tool and more like infrastructure you can trust in production.
If you’ve ever struggled with scaling AI agents, juggling brittle frameworks, or trying to debug in the dark, GraphBit is worth paying attention to. Excited to see where this goes next! 🚀
What's great
scalability (8)ease of use (8)high performance (13)observability (6)Rust core (13)Python bindings (14)production readiness (11)enterprise-ready features (10)resilience (7)multi-LLM orchestration (5)
This made our day. We built GraphBit so you don’t have to choose between developer joy and raw performance. If you kick the tires, I’d love your notes on the observability flows.
When we started building GraphBit, we kept running into the same problem: most AI frameworks looked great in demos but collapsed in production. Crashes, lost context, concurrency issues- all things developers shouldn’t have to fight just to ship real agent workflows.
That’s why we built GraphBit on a Rust execution core for raw speed and resilience, wrapped in Python for accessibility. The goal: give developers the best of both worlds, high-performance orchestration with a language they already love. We’ve also been using it across multiple internal projects with great results.
What excites me most isn’t just the benchmarks and performance (though 14x faster and zero crashes still makes me smile 😅), but how GraphBit is already being used:
- Teams running multi-LLM workflows without bottlenecks
- Agents handling high-concurrency systems that used to break other frameworks
- Enterprise users valuing observability, retries, timeouts, and guards baked in from day one
We’re also proud to say our architecture is patent-pending, because we believe the way agents execute should be as reliable as any enterprise system.
This is just the start. We’d love for you to try GraphBit, break it, push it and tell us what to improve. Your feedback will shape where we take it next.
— Musa
Founder, GraphBit
What's great
fast performance (2)scalability (8)high performance (13)observability (6)Rust core (13)Python bindings (14)production readiness (11)enterprise-ready features (10)resilience (7)multi-LLM orchestration (5)
GraphBit
Hey Product Hunt! 👋 Musa here, Founder of @GraphBit
I built GraphBit because I was tired of the same developer pain:
Juggling slow, brittle frameworks that crash under load
Choosing between Python’s simplicity or Rust’s speed- never both
Losing control of observability and scaling in enterprise builds
GraphBit solves that.
Rust under the hood for blazing speed, safety, and async concurrency
Python bindings for a dev-friendly, easy-to-learn interface
Enterprise-first features: real-time observability, crash resilience, multi-LLM orchestration
Our vision? Make building scalable, production-ready AI agents feel as natural as microservices- secure, performant, and developer-first.
🙏 I’d love to hear: What’s your biggest pain when building AI agents? Happy to get feedback, mid-launch or post-launch.
Thanks for being here, excited to build together!
— Musa