GraphBit

Name: GraphBit
Rating: 5.0 (21 reviews)

Rust-core, Python-first Agentic AI framework

5.0•21 reviews•

1.4K followers

Rust-core, Python-first Agentic AI framework

5.0•21 reviews•

1.4K followers

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Databases and backend frameworks

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AI Infrastructure Tools

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LLM Developer Tools

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.

Free

Launch tags:Open Source•Developer Tools•Artificial Intelligence

Launch Team / Built With

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Promoted

Are there trade-offs — where GraphBit might be slower but more reliable?

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6mo ago

GraphBit

Maker

@md_minhazul_alam_chowdhury Great question. In practice, GraphBit’s Rust core means you rarely trade speed for reliability, you get both. The only “trade-off” is we add extra guardrails (retries, timeouts, audit logs), so workflows run safely even under heavy load. Slight overhead, but at scale it’s negligible compared to the stability gains

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6mo ago

GraphBit

Maker

@md_minhazul_alam_chowdhury Exactly, reliability without losing speed was our north star. The tiny overhead from safety guardrails is worth it, since teams get stability at scale without bottlenecks.

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6mo ago

Excited to try this out and boost the team’s performance

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6mo ago

GraphBit

Maker

@hientrang2405 Awesome. Can’t wait to hear how it works out for your team, feedback will be super valuable

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6mo ago

GraphBit

Maker

@hientrang2405 Thanks a lot! Excited to see how GraphBit helps your team, your feedback will play a big role in shaping what we build next.

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6mo ago

GraphBit

Maker

@hientrang2405 welcome all the way

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6mo ago

Interesting product. Really impressed by the work.

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6mo ago

GraphBit

Maker

@sakshi_gupta21 Thanks for the support. Can also checkout our repo : https://github.com/InfinitiBit/graphbit

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6mo ago

GraphBit

Maker

@sakshi_gupta21 Thanks for the support.

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6mo ago

Seems like a useful tool ... i woll definitly use it for my production ..

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6mo ago

GraphBit

Maker

@hassan_eddyb Thanks a lot! That’s exactly what we built GraphBit for, real production use. Excited to hear how it performs in your workflows.

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6mo ago

GraphBit

Maker

@hassan_eddyb Great to hear. Reachout if required any help with the adaptation.
Repo: https://github.com/InfinitiBit/graphbit

Docs: https://docs.graphbit.ai

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6mo ago

Wow, congrats to the team!

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6mo ago

GraphBit

Maker

@changne Thanks so much. Big day for the team, couldn’t have done it without them

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6mo ago

GraphBit

Maker

@changne welcome

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6mo ago

Very interesting !!! Congratulation on the lauch

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6mo ago

GraphBit

Maker

@thao_nguy_n5 Thanks a lot! Really appreciate the support.

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6mo ago

GraphBit

Maker

@thao_nguy_n5 some more big releases loading...

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6mo ago

Congratulations on the Launch of GraphBit.

Congratulations team! 🎊 👏

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6mo ago

GraphBit

Maker

@nguyen_truc_quyen Thank you so much! Means a lot to have your support. We’re excited to see how teams put @GraphBit to work in real projects.

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6mo ago

GraphBit

Maker

@nguyen_truc_quyen welcome to try it out

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6mo ago

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Forum Threads

p/graphbit

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3mo ago

Featured

The most underrated trend in AI is how humans are redesigning their work with AI, not around it.

Teams aren t just adding AI into existing workflows.
They re reshaping the workflows themselves with the AI agent in the loop.

Steps get removed.
Objectives become clearer.
Old constraints disappear.
Processes reorganize around what the system can now do natively.

The real productivity gain isn t automation.
It s rethinking the architecture entirely.

Curious to hear from this crowd:
What s one workflow you rebuilt because AI made the old version irrelevant?

p/graphbit

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5mo ago

Featured

What’s the biggest hidden cost you’ve faced when running AI in production?

It s easy to measure latency or accuracy.

But the real costs often hide in the background- compute burn, idle tokens, redundant calls, or that temporary caching fix that quietly eats your budget.

p/graphbit

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4mo ago

Featured

The most dangerous failure in AI is the one you don’t measure

Here s something uncomfortable I ve learned building AI agent systems:

AI rarely fails at the step we re watching.

It fails somewhere quieter
a retry that hides a timeout,
a queue that grows by every hour,
a memory leak that only matters at scale,
a slow drift that looks like variation until it s too late.

Most teams measure accuracy.
Some measure latency.

View all

GraphBit

Rust-core, Python-first Agentic AI framework

Rust-core, Python-first Agentic AI framework

Forum Threads

The most underrated trend in AI is how humans are redesigning their work with AI, not around it.

What’s the biggest hidden cost you’ve faced when running AI in production?

The most dangerous failure in AI is the one you don’t measure

Forum Threads

The most underrated trend in AI is how humans are redesigning their work with AI, not around it.

What’s the biggest hidden cost you’ve faced when running AI in production?

The most dangerous failure in AI is the one you don’t measure

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