the runtime your coding agents live on
Source control for agents. Use multiple coding agents, track their changes and query them in one place
Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.
Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.
Fetch source code for npm packages to give AI coding agents deeper context
A Git extension for tracking the AI-generated code in your repos
Entity-level git merge driver. Resolves false conflicts git invents when independent agents edit the same file. ~95% reduction vs. line-based merge.
Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.
tmux sidebar for coding agents — Amp, Claude Code, Codex, OpenCode. Per-thread markers, local HTTP API, live session state.
Instant recall for coding agents. Search the history already on your machine. Git blame, but for agent sessions.
Watch a Claude Code or Codex session as a live flow graph, in your terminal or your browser.
Mission control for your AI agents
Local code intelligence MCP server and CLI for AI coding agents
GPU-accelerated terminal board that puts all your sessions on an infinite canvas
Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.
Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
TUI and CLI for browsing models.dev, benchmarks, coding agents, and statuses for AI providers.
Every file not opened. Every folder not explored. Tokens saved. ProjectAtlas guides coding agents with purpose metadata and an intelligent code graph, reducing token costs by over 90%.
The best way to work with coding agents. Run fifty in parallel, let them spawn each other, review everything in one place.
The black box for AI-written code. Passive decision graph linking every commit to the agent prompts behind it: drift detection, DLP audit of what agents read, evidence-driven risk, MCP memory for coding agents, signed provenance attestations. One command, offline by default.
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