local

CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.

A single-binary local MCP server that turns a codebase into AI context using AST parsing, call graphs, and local embeddings. It targets privacy-sensitive and air-gapped workflows and can serve indexed code context to editors and MCP clients.

Sentinel is a local, zero-dependency codebase scanner that maps a repository into AI-ready context, health scores, risk hotspots, entry points, and prompts for coding agents.

A local CLI for replaying what AI coding agents accessed on your machine, including file reads, secrets that entered context, and possible read-then-network-call exposure paths. It also scans exported ChatGPT, Claude, and Gemini histories for sensitive data.

Open-sourced local multi-agent OS that runs three agents on consumer hardware, lets them form goals from environmental pressure, and supports self-modifying workflows through tool creation and change requests.

A Claude Code plugin that learns from user corrections and successful runs, then turns them into reusable rules and playbooks stored locally.

Local open-source coding agent for developers, with a macro-style command workflow and benchmark results showing fewer turns and better pass rates than Codex CLI in the published comparison.

Desktop app for orchestrating crews of local coding agents like Claude Code and Codex in one workspace.

A local speech-to-text MCP server for AI agents, with CLI transcription and support for Parakeet or Granite backends.