Provides per-Subagent MCP controls to any coding agent or client across all your MCPs and prevents context window waste. Loads only 3 tools instead of all your MCP Server's tool definitions. Agents discover tools on-demand, only when needed and only the servers and tools they are allowed.
Local-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.
A fully featured coding agent that uses symbolic operations (enabled by language servers) and works well even in large code bases. Essentially a free to use alternative to Cursor and Windsurf Agents, Cline, Roo Code and others.
Enables running aider as a detached background process with git and file tools, allowing LLMs to start code editing processes and check progress asynchronously for agentic swarm behavior.
A task-based AI orchestrator that bridges AI models (Gemini, Claude, OpenAI) with local environments, operating as an interactive CLI and an MCP server for structured autonomous development.
Autonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.
An MCP server and HTTP gateway that dispatches coding tasks to Claude Code, Codex, and Antigravity CLI sessions, keeps track of those sessions, and optionally runs an implement → review → verify loop against a real repository.
SpecForge is a Model Context Protocol (MCP) server that connects an LLM client to a fully autonomous code-fixing pipeline. Point it at a GitHub issue, and it reads the repo, plans a fix, writes the code, tests it, and opens a pull request.
Production-grade, autonomous Model Context Protocol (MCP) server that elevates AI models from stateless code generators into persistent, self-verifying software engineers.
