chorus
Multi-LLM peer review for code decisions. Bring your own CLI; Chorus convenes 2-4 other LLMs to review the work before you ship.
What is it?
What it is
A tool that reviews AI-generated code using multiple AI models in parallel to ensure quality before deployment, leveraging existing AI subscriptions.
Why it exists
To mitigate risks of errors in AI-generated code by cross-verifying with different AI models and utilizing users' existing subscriptions at no additional cost.
Who should use it
Developers using AI coding tools (Claude, GPT, Gemini) who want multi-AI code reviews without extra cost, teams integrating AI into workflows, and those needing rigorous pre-merge checks.
Who should avoid it
Users without access to AI subscriptions (Claude Pro/ChatGPT Plus/Gemini Advanced) or those who don't require multi-AI validation, and teams preferring single-AI reviews.
How it works
A quick walkthrough in plain English
How chorus works
Step 1 of 3
You interact with it
Open chorus, send a request, or connect it to your stack.
Features
Advantages
- Reduces blind spots by using different AI models with unique training data
- Cost-effective when using existing subscriptions (no per-token charges)
- Enhances privacy through local execution
- Flexible review patterns via customizable templates
- Specialized reviewers improve detection of specific issues
- Seamless integration with existing AI tools via MCP
- Multiple review modes adapt to different use cases
- No additional cost for subscription-based users
- Real-time collaboration between AI reviewers
- Improved security through dedicated reviewer personas
Disadvantages
- Requires existing AI subscriptions or API keys (may not be accessible to all)
- Local-first setup may involve technical configuration
- Complexity in managing multiple AI tools and personas
- Cost can increase with API key usage (pay-per-token model)
- Dependent on Node.js 20+ which may limit compatibility
- Telemetry collection (though opt-out available) may raise privacy concerns
- Learning curve for creating and managing custom templates
- May require familiarity with AI tools and CLI interfaces
- Performance could vary based on AI tool response times
- Still in active development (v0.8.29) with potential for changes
Installation
FAQ
Is there a cost to use Chorus?
Chorus costs $0 when using existing AI subscriptions (Claude Pro, ChatGPT Plus, Gemini Advanced). For API key users, a typical review costs $0.30–$1.50 depending on diff size.
How do I set up Chorus?
Install via `npm i -g chorus-codes`, then run `chorus init` to connect your AI tools. Start with `chorus start --ui` to open the web UI.
How does Chorus ensure diverse reviews?
Chorus runs different AI vendors (e.g., Claude, GPT, Gemini) in parallel. Each has unique training data and biases, so disagreements highlight potential issues.
What security modes does Chorus offer?
You can choose Strict (read-only), Workspace (default, allows local writes), or Full (full access). Choose based on trust level for the code being reviewed.
Can I create custom review templates?
Yes! Duplicate built-in templates in `~/.chorus/templates/` and modify the YAML. Pre-built templates include code-review, bug-diagnose, and architect-review.
How is Chorus different from tools like CodeRabbit?
Chorus uses your existing AI subscriptions, runs locally (code never leaves your tools), and supports multiple vendors reviewing the same change simultaneously.
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