open-kritt vs plannotator
plannotator is much bigger: 8.6k stars against 2.1k. Over the days we have tracked them open-kritt moved +25.7% and plannotator +41.1%, so plannotator is growing faster right now.
They split the axes: open-kritt leads on context depth and noise control and customization and model freedom, plannotator 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
- +25.7%
- Maturity
- ●●●●●
- Last commit
- 15h ago
- Language
- JavaScript
- License
- AGPL-3.0
- Cost to run
- Requires model API key (your provider's billing applies).
A local, browser-based review surface that plugs directly into many agent hooks so you can annotate plans, diffs, and HTML and send structured feedback back to the agent.
- Stars
- 8.6k
- Tracked growth
- +41.1%
- Maturity
- ●●●●●
- Last commit
- 11h ago
- Language
- TypeScript
- License
- Apache-2.0
- Cost to run
- Free, self-hosted; external agent API keys or accounts may be required
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 | plannotator |
|---|---|---|
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 | ●●●●● Diff-focused |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Deduplication & ranking | ●●●●● No noise controls |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Workflow & rules | ●●●●● Config file options |
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-command install |
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.
- Context depth: Whole-repo analysis (5/5 against 2/5)
- Noise control: Deduplication & ranking (5/5 against 1/5)
- Customization: Workflow & rules (5/5 against 3/5)
- Model freedom: Bring-your-key (multiple) (5/5 against 3/5)
Pick plannotator if…
Local and agent-integrated: pick Plannotator when you want a local browser UI to review agent plans and code diffs and to send feedback directly to the agent.
- Setup ease: One-command install (5/5 against 3/5)
What people want from each one
Kritt-ai/open-kritt
backnotprop/plannotator
Questions people ask
Is open-kritt better than plannotator?
They split the axes: open-kritt leads on context depth and noise control and customization and model freedom, plannotator 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 plannotator keeps my code private?
open-kritt: Self-hosted (cloud models) (4/5). plannotator: Self-hostable (4/5).
What does each one cost to run?
open-kritt: Requires model API key (your provider's billing applies).. plannotator: Free, self-hosted; external agent API keys or accounts may be required.
Full profiles: Kritt-ai/open-kritt and backnotprop/plannotator. Everything else in Code review agents.