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

Congrats on the launch. Nice to see a local product featured on Product Hunt. I first came across this on LinkedIn and it’s good to see it here too.

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6mo ago

GraphBit

Maker

@protyay_kumar_pramanik Thanks a lot 🙏 Means a lot to have local support!

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6mo ago

GraphBit

Maker

@protyay_kumar_pramanik Really appreciate the support!

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6mo ago

GraphBit

Maker

@protyay_kumar_pramanik keep supporting @GraphBit

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6mo ago

Congrats on the launch 🎉
GraphBit looks super solid - love how you’ve combined Rust’s performance with Python’s simplicity. The enterprise features + patent pending angle really stand out.
Excited to see how teams put this into production 👏

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6mo ago

GraphBit

Maker

@abbas143official Thank you, We’re grateful for the support and confident GraphBit will set a new bar for agentic AI in production

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6mo ago

GraphBit

Maker

@abbas143official Appreciate the kind words! Our focus has always been production-first, seeing teams adopt GraphBit for real-world, scalable use cases is what excites us the most.

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6mo ago

I have checked the GitHub repo that is already live here: https://github.com/InfinitiBit/graphbit

The technical aspect is fascinating; the Rust core underlying the Python API allows it to optimize performance without requiring additional constant memory usage. 🥳

I tried with the early access as well, after launch, now it feels more complete and ready for production-grade applications 🎉

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6mo ago

GraphBit

Maker

@erfanul007 Really appreciate you diving into both the repo and early access. The Rust core + Python API balance has been a huge focus for us, hearing that it now feels production-ready means a lot

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6mo ago

GraphBit

Maker

@erfanul007 Glad you explored both early access and the repo! Making GraphBit production-ready with Rust performance + Python simplicity has been our top priority, so your feedback really validates the direction.

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6mo ago

GraphBit

Maker

Thanks for checking out GraphBit!

We built GraphBit because we kept running into the same wall while experimenting with agentic workflows: existing frameworks were either too rigid, too bloated, or not designed with research-grade flexibility in mind.

🔹 What it is: GraphBit is an agentic framework built around a graph-based architecture that makes it easy to design, orchestrate, and scale complex multi-agent systems.

🔹 Why it matters: Instead of juggling messy pipelines or hard-coding control logic, you can declaratively define agent behaviors, constraints, and flows as a graph. This makes your system both transparent and extensible.

🔹 Who it’s for: Researchers, developers, and startups who want to go beyond toy LLM apps and actually engineer robust agent ecosystems—whether for reasoning, retrieval, code generation, or domain-specific workflows.

🔹 What’s inside:

A modular core (Rust + Python bindings) for speed + safety.

Native support for graph-structured reasoning & execution.

Utilities for multi-step planning, tool use, and evaluation.

Docs, examples, and starter templates to get building fast.

This is just the beginning - we’re iterating fast and would love your feedback, ideas, and even wild use-cases.

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6mo ago

Hunter

The team behind Graphbit recently reached out to me, and I have to say. I’m impressed with what they’ve built.

Graphbit is a new LLM framework, positioned as a competitor to LangChain, Crew AI, and other similar solutions. Its core mission is to provide a faster, more stable, and truly enterprise-ready alternative to what’s currently available.

It's Built with Rust for performance and stability, and wrapped with Python to make it more accessible to developers.

Deliver 10x greater efficiency compared to existing frameworks, faster execution and lower memory usage.

If you're a developer try it out.

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6mo ago

GraphBit

Maker

@byalexai Thank you so much, Aleksandar, for the kind words and for hunting GraphBit!

We built GraphBit because we saw how quickly agentic AI ideas can collapse in production when frameworks aren’t fast, stable, or enterprise-ready. Our Rust core + Python wrapper approach was designed to solve exactly that — giving developers a framework that’s not just easy to use, but also efficient enough to run reliably at scale.

For anyone curious, we’ve also published detailed benchmarks(you can check it in our github repo) comparing GraphBit with LangChain, CrewAI, and others, showing how we consistently achieve faster execution and dramatically lower memory usage.

We’d love for developers and teams to give GraphBit a try, share feedback, and help us shape the future of production-grade agentic AI frameworks. 💡

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6mo ago

@musa_molla Congratulations!

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6mo ago

GraphBit

Maker

@huisong_li Thanks a lot

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6mo ago

Excellent buddy. this graphbit tool is very Useful. best wishes for your journey; never give up. here are some quick tips to help you expand your Saas. even if your product isn't quite ready, start gathering leads as soon as possible.instead of waiting for your target users to find you, try sending them a simple cold email. To gain credibility and draw in early backers, be transparent about your progress on websites like indie hackers Product Hunt, Reddit, LinkedIn, or Twitter to build trust and attract early supporters. i hope this journey brings you a lot of courage and inspiration you'r capable.

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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

Thanks for checking out GraphBit!

🔹 What it is: GraphBit is an agentic framework built around a graph-based architecture that makes it easy to design, orchestrate, and scale complex multi-agent systems.

🔹 What’s inside:

A modular core (Rust + Python bindings) for speed + safety.

Native support for graph-structured reasoning & execution.

Utilities for multi-step planning, tool use, and evaluation.

Docs, examples, and starter templates to get building fast.

This is just the beginning - we’re iterating fast and would love your feedback, ideas, and even wild use-cases.

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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