A framework-agnostic, git-native standard for defining AI agents

Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients

AI agent security scanner. Detect vulnerabilities in agent configurations, MCP servers, and tool permissions. Available as CLI, GitHub Action, ECC plugin, and GitHub App integration. 🛡️

Git worktree-based task manager with integrated terminals for CLI coding agents

Git-native memory for coding agents. Repo memory before the diff.

Review code 100X faster. Lens draws every PR as animated architecture and data-flow walkthroughs, inside the pull request itself. Use it as a GitHub App, GitHub Action, CLI, or a skill for your coding agent

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Evidence-grounded repository audit CLI - deterministic scanner, MCP server, live dashboard, and a GitHub Action that posts PR diffs.

Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

Instant recall for coding agents. Search the history already on your machine. Git blame, but for agent sessions.

Open-source local workbench for multi-agent software development.

Run Claude Code, Codex & Gemini in parallel on Windows & macOS — git worktree fan-out with atomic hunk adoption, approval gates, reboot-surviving sessions

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

A dev environment for AI agents.

Your entire engineering context, deeply understood

An infinite canvas desktop app for visually managing terminals

Bitbucket CLI with gh-like ergonomics

Architecture guardrails for AI coding agents building backend services with DDD and Hexagonal Architecture.

Local-first MCP security scanner for AI-generated apps. Scan → fix → rescan from Claude Code, Cursor, Codex, and other agents.

Metis is a coding agent that boosts AI/LLM coding performance by 50%

Public registry of code-knowledge graphs for AI agents. Awesome-list 2.0: pointers to schema-validated content, not just links.