CodeAgora
Reduces blind spots in code review by surfacing multiple technical perspectives before human review, catching logic gaps and design issues that single-pass r…
CodeAgora runs multiple LLM reviewers in parallel over a diff, lets them challenge each other's findings, filters hallucinated and duplicate claims, and returns a final verdict — ACCEPT, REJECT, or NEEDS_HUMAN — with evidence. Use it from the CLI (git diff | agora review), as a GitHub Action on pull requests, or as an MCP server (npx -y @codeagora/mcp) in MCP-compatible editors. A macOS desktop app (unsigned preview build) provides a local UI.
- Flag security issues across multiple threat models simultaneously
- Catch performance regressions before production deployment
- Identify edge cases in complex business logic
Reduces blind spots in code review by surfacing multiple technical perspectives before human review, catching logic gaps and design issues that single-pass reviews miss.
Engineering teams managing complex codebases seeking faster, more thorough pre-review filtering before human review cycles.
https://github.com/bssm-oss/CodeAgora
By bssm-oss
How to Get It
npm i -g @codeagora/review && agora init
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me flag security issues across multiple threat models simultaneously
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Claude Code agora somente no plano Max ($100/mês) — Reddit · 140 pts
- Claude Code agora controla seu computador no macOS — Reddit · 2 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Auto-assessment from April sweep — baseline scores pending hands-on review.
2026-04-18: Approved in April sweep: New and small but has a clear description and recent commits — worth tracking.
Things to check
- Multiple models increase latency and API costs per review; requires clear coding standards so conflicting suggestions don't paralyze decisions. False positives on style vs. substance issues may create review fatigue.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.