Mira - Code Review icon
Mira - Code Review icon

Mira - Code Review

Self-hosted AI code review platform offering indexed pull request analysis, vulnerability and package scanning, actionable and filtered feedback, custom and global rule configuration, Docker deployment, support for multiple LLMs, org-wide package search, and learning loop features.

Mira - Code Review screenshot 1

Cost / License

Application type

Platforms

  • Self-Hosted
  • Docker
Mira - Code Review screenshot 1
Mira - Code Review screenshot 2
Alternatives  
12likes
32alternatives
0articles
Save

Features

Properties

  1.  AI-Powered

Features

  1.  Webhook support
  2. GitHub icon  GitHub Integration
  3.  Custom rules
  4.  WebHook Integration

 Tags

Mira - Code Review News & Activities

Highlights All activities

Recent activities

Mira - Code Review information

AlternativeTo Categories

AI Tools & Services, Development, Security & Privacy

GitHub repository

  •  356 Stars
  •  69 Forks
  •  45 Open Issues
  •   Updated  
View on GitHub

Popular alternatives

View all

Our users have written 1 comments and reviews about Mira - Code Review, and it has gotten 12 likes

Mira - Code Review was added to AlternativeTo by Paul on and this page was last updated .

Comments and Reviews

   
Nikhil Kumar
0
Health&Wellness reseracher at fitnova360.com

Looks like a solid self-hosted alternative for teams that want more control over code reviews. The indexed PR analysis and customizable rules are especially useful for keeping feedback relevant and actionable.

Featured in Lists

My Favorites

A list with 81 apps by ballju without a description.
By Ashlyn81 appsUpdated

Official Links

AppStores & Other Links

What is Mira - Code Review?

Self-hosted AI code review. Your code, your dashboard, your LLM key.

Self-host every feature: full review engine, codebase indexing, vulnerability scanning, custom rules, org-wide package search, dashboard, learning loop. No paid tier, no license key, no SaaS upsell.

Mira reviews your pull requests using your choice of LLM (via OpenRouter, which fronts Anthropic, OpenAI, Google, DeepSeek, and more) and posts concise, actionable feedback. The noise filter, confidence clamping, and learning loop ensure you only see comments that matter.

Highlights:

  • Any OpenAI-compatible endpoint: OpenRouter by default (Anthropic, OpenAI, Google Gemini, DeepSeek, …), or point llm.base_url at vLLM, Ollama, LiteLLM proxy, LocalAI, llama.cpp, Together, Fireworks, Groq, or Cerebras for self-hosted / data-resident reviews. See Custom endpoints.
  • Low noise: Confidence thresholds, dedupe, severity sorting, per-PR comment caps
  • Indexed reviews: full-repo code index gives the LLM real context, not just the diff
  • Learns your team: synthesizes rules from rejected comments and human review patterns on merged PRs
  • Vulnerability scanning: hourly OSV.dev poll surfaces CVEs across every package in every repo
  • Org-wide package search: answer "which repos use lodash@4.17.20?" in seconds
  • Configurable: .mira.yaml for per-repo settings, custom + global rules in the dashboard
  • Self-host on day one: Docker image, Railway / Fly.io / Render configs, SQLite or Postgres
  • GitHub today, more platforms coming: GitLab, Bitbucket, and Gitea support are on the roadmap. Same review engine, same dashboard, just a different provider adapter