Alternatives to Mira

Open-source, self-hosted AI code review that runs inside your CI/CD pipeline, keeping your code private.

Pioneering open-source AI coding agent for VS Code and JetBrains, now archived after Cursor acquisition.

Free, open-source AI code assistant for JetBrains IDEs with spec-driven development

Open-source ruleset that makes AI coding agents write minimal, pragmatic code.

Self-hosted AI workflow automation for Git repos — reviews, tests, docs, issues.

Open-source browser tool for chatting with and visualizing GitHub repos

Open-source gated AI code generation pipeline with human approval gates

Free open-source VS Code extension that runs multiple AI coding agents in a debate panel for higher-quality code.

Open-source AI coding agent with 500+ models, zero markup, and multi-IDE support.

Free open-source AI coding agent quality gates that catch hallucinated APIs and ghost tests before they ship.

Open-source library of 817 structured cybersecurity skills for AI agents, MITRE-mapped and free.

AI code review agent with full multi-repo context that catches bugs, fixes CI, and tracks DORA metrics.

AI code reviewer that catches hidden bugs in PRs and your entire codebase

Open-source AI security agent that verifies vulnerabilities with working exploits

Open-source orchestrator for running parallel AI coding agents in isolated git worktrees, from idea to merged PR.

TypeScript-first open-source platform for building autonomous AI agents and LLM workflows.

Open-source CLI to red-team AI prompts and audit MCP servers

Open-source, offline-first audit trail linking every commit to the AI agent prompts behind it.

AI code review agent that tests every PR and learns your team's standards.

Hybrid AI code scanner with 85%-accurate autofixes and risk-based prioritization for human and AI-generated code.

AI model router and code context engine that cuts agent token spend by grounding requests in your codebase and routing to right-sized

AI-native agentic application security that blocks malicious code and reaches real vulnerabilities.

AI-assisted SAST, SCA, and secrets scanning for low-noise code security.

AI code completion and agentic coding with multi-model flexibility

AI-native AppSec platform to secure AI code, agents, and apps — from inception to production.

Run Cloud coding agents as code in GitHub with spend caps and sandboxes.

Enterprise AI code review and governance across the SDLC

Secure and govern AI-generated code from prompt to runtime with agentic development security.

AI code review that reviews, secures, and prioritizes every PR for teams using coding agents.

Deterministic code change at scale with Lossless Semantic Trees