open-kritt vs pr-agent
pr-agent is much bigger: 12.9k stars against 2.1k. Over the days we have tracked them open-kritt moved +25.8% and pr-agent +11.8%, so open-kritt is growing faster right now.
They split the axes: open-kritt leads on noise control and model freedom, pr-agent on setup ease.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Orchestrates focused AI agent workflows in disposable job containers to find, validate and de-duplicate real vulnerabilities with PoC generation and ranking.
- Stars
- 2.1k
- Tracked growth
- +25.8%
- Maturity
- ●●●●●
- Last commit
- 21h ago
- Language
- JavaScript
- License
- AGPL-3.0
- Cost to run
- Requires model API key (your provider's billing applies).
An open-source, community-maintained, self‑hostable PR reviewer that compresses and adapts PR context and exposes JSON-configurable prompts for team customization.
- Stars
- 12.9k
- Tracked growth
- +11.8%
- Maturity
- ●●●●●
- Last commit
- 15m ago
- Language
- Python
- License
- MIT
- Cost to run
- Uses your API key (OpenAI/other providers)
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | open-kritt | pr-agent |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-repo analysis | ●●●●● PR + related files |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Deduplication & ranking | ●●●●● Configurable prompts |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Workflow & rules | ●●●●● Config files & prompts |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hosted (cloud models) | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-key (multiple) | ●●●●● Multiple providers |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Docker + CLI setup | ●●●●● One-step setup |
Which one to pick
Pick open-kritt if…
Self-hosted — run customizable, security-focused AI research workflows locally with built-in validation, de-duplication and BYO model access.
- Noise control: Deduplication & ranking (5/5 against 3/5)
- Model freedom: Bring-your-key (multiple) (5/5 against 3/5)
Pick pr-agent if…
Pick PR-Agent when you need a self‑hosted, highly customizable PR reviewer that supports multiple Git providers and scales to large pull requests.
- Setup ease: One-step setup (5/5 against 3/5)
What people want from each one
Kritt-ai/open-kritt
The-PR-Agent/pr-agent
Questions people ask
Is open-kritt better than pr-agent?
They split the axes: open-kritt leads on noise control and model freedom, pr-agent on setup ease. open-kritt is worth picking when self-hosted — run customizable, security-focused AI research workflows locally with built-in validation, de-duplication and BYO model access.
Which of open-kritt and pr-agent keeps my code private?
open-kritt: Self-hosted (cloud models) (4/5). pr-agent: Self-hostable (4/5).
What does each one cost to run?
open-kritt: Requires model API key (your provider's billing applies).. pr-agent: Uses your API key (OpenAI/other providers).
Full profiles: Kritt-ai/open-kritt and The-PR-Agent/pr-agent. Everything else in Code review agents.