GraphBit

Name: GraphBit
Rating: 5.0 (21 reviews)

Rust-core, Python-first Agentic AI framework

5.0•21 reviews•

2.4K followers

Rust-core, Python-first Agentic AI framework

5.0•21 reviews•

2.4K 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.

This is the 2nd launch from GraphBit. View more

Graphbit PRFlow

Launched this week

AI code reviewer that catches what others miss

Your AI teammate that reviews every pull request before it ships. Tested on 10 real projects, PRFlow found 7 critical security issues where competitors found zero. Learns your team's standards over time. Pay per review, not per seat.

Free Options

Launch tags:Productivity•Developer Tools•GitHub

Launch Team / Built With

DigitalOcean Serverless Inference — 55+ AI models behind one OpenAI/Anthropic-compatible API

55+ AI models behind one OpenAI/Anthropic-compatible API

Promoted

Congrats! Does PRFlow reuse its cross file context across multiple PRs to speed up?

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3d ago

GraphBit

Maker

@owen_shaw2 Thanks, Owen. Yes, partially. PRFlow reuses repository memory and previously indexed context across PRs, so it avoids starting from zero each time. That helps reduce repeated context-building work, while the current PR still gets a fresh review.

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3d ago

GraphBit

Maker

@owen_shaw2 Fresh context per PR by design, stale context from previous merges would actually hurt accuracy more than help speed.

What persists across PRs is the memory layer: team corrections, false positive flags, and coding preferences. That's what improves over time, not the runtime.

Latency sits at 1 to 3 minutes regardless. Consistency has been the bigger win than speed for most teams 🙏

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3d ago

What’s one real issue PRFlow caught that you’ve never seen another tool flag?

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3d ago

GraphBit

Maker

@wyatt_carter XSS vulnerability that spanned three files- a Ruby controller, an HTML template, and a JavaScript file. The bug only existed in how they connected, not in any single file in isolation.

Every other tool we tested on the same PR found zero issues. PRFlow caught it because it traces the function that changed and follows its dependencies across the whole PR.

That one finding is what convinced us we were building something genuinely different

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3d ago

GraphBit

Maker

@wyatt_carter One was an XSS issue spread across a Ruby controller, an HTML template, and a JavaScript file. Nothing looked obviously broken in isolation, but the data flow across the three files created the vulnerability. PRFlow caught it because it traced the change across dependencies, while the other tools we tested on that PR found zero issues.

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2d ago

Does PRFlow support monorepos with cross-project dependencies out of the box?

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3d ago

GraphBit

Maker

@olivia_bennett7 Yes, for monorepos inside a single repo. PRFlow uses cross-file dependency analysis and repo-level context, so it can reason across multiple projects in the same PR, with practical limits on very large PRs.

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3d ago

GraphBit

Maker

@olivia_bennett7 Within a single repo it handles cross-file dependencies well out of the box. Full cross-project monorepo support is something we're working on.

What's your setup? Happy to tell you exactly what PRFlow would and wouldn't catch for your case

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3d ago

Can developers override or train PRFlow to learn their team’s specific patterns?

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3d ago

GraphBit

Maker

@daniel_harris11 Yes. When your team replies to a PRFlow comment, "this is intentional" or "we prefer this pattern" it stores that and applies it to future reviews automatically.

No manual training setup. It learns from how your team actually works

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3d ago

GraphBit

Maker

@daniel_harris11 Yes. Today that happens mainly through configuration plus feedback loops: repo-level review rules, ignored paths, path-specific focus, and explicit corrections from developers in PR conversations. That is how PRFlow starts aligning with team-specific patterns over time.

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2d ago

Can teams self host PRFlow, or is it entirely GitHub cloud based?

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3d ago

GraphBit

Maker

@asher_luca Thanks. Right now, PRFlow is GraphBit cloud-based rather than self-hosted. The review orchestration runs through the GraphBit cloud.

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3d ago

GraphBit

Maker

@asher_luca Cloud-based for now. Self-hosting is something we hear interest in, especially from enterprise teams. Good to know it matters to you, noting it

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3d ago

Does PRFlow post comments as a bot or as a check summary on GitHub?

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3d ago

GraphBit

Maker

@peyton_perez Thanks. It posts as a bot on the PR, with a review summary and inline comments when needed. Not just as a check summary.

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3d ago

GraphBit

Maker

@peyton_perez Exactly, inline comments directly on the PR, not just a check summary. So your team can reply, discuss, and resolve right in the thread where the code lives

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3d ago

Can I run PRFlow retroactively on closed PRs to audit past missed issues?

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3d ago

GraphBit

Maker

@gaius_loxley Not yet, PRFlow currently triggers on PR events, so it works on open and updated PRs. Retroactive auditing on closed PRs is something we've heard interest in. Good signal, noting it

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3d ago

GraphBit

Maker

@gaius_loxley Not yet. Right now PRFlow is event-driven, so it works on open and updated PRs rather than closed PRs retroactively.

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2d ago

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Previous GraphBit Launches

GraphBitRust-core, Python-first Agentic AI framework

Launched on September 14th, 2025

Forum Threads

p/graphbit

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2d ago

We just hit #3 Product of the Day

We just hit #3 Product of the Day with Graphbit PRFlow.

Genuinely didn't expect this on day one. Thank you to everyone who tried PRFlow, left a comment, or just took a minute to check it out. Every single one of you made this happen.

We read every comment today and we're not stopping. Back to building.

p/graphbit

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5mo 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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7mo 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.

View all

GraphBit

Rust-core, Python-first Agentic AI framework

Rust-core, Python-first Agentic AI framework

Graphbit PRFlow

Previous GraphBit Launches

Forum Threads

We just hit #3 Product of the Day

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?

Previous GraphBit Launches

Forum Threads

We just hit #3 Product of the Day

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?

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