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⚡ A native app for all your coding agents.

Native macOS orchestrator for coding agents — run Claude Code, Codex, Cursor, Gemini and shells in parallel across git worktrees and remote hosts

Desktop automation MCP server — computer use for any AI agent: control screen, windows, mouse/keyboard, and Chrome via Model Context Protocol (stdio)

Git-native context control plane for AI coding agents

Cross-platform terminal grid for running Codex, Claude, Gemini, and other CLI agents side by side.

A free remote MCP server offering normal (Grok 4.3) and deep (Grok 4.20 Multi-Agent) search. No API keys required, streaming support prevents gateway timeouts.

Open-source mission control for coding agents. Run cross-vendor workers in isolated worktrees, audit every submission, and revert an entire mission.

Switch between isolated Claude Code accounts on Linux and macOS without logging in again.

Claude Code that runs on your Cursor subscription. One Rust binary, zero config.

AI-assisted PCB design for KiCAD 10. Native KiCAD plugin — a single Rust binary exposing 171 schematic, layout, routing, design-review, and manufacturing tools to Claude, or the LLM of your choosing

Grok Build Desktop GUI — open-source Electron AI coding agent for xAI Grok Build / grok CLI. Native tools, MCP, third-party models, parallel sessions. Windows, macOS, Linux.

RimZ is a realtime dashboard and control room for harnessing agentic coding, build on tmux and Zellij.

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

Convert AI coding sessions between Claude Code, Codex, OpenCode, Zed, Aider, Gemini CLI, Cursor, Cline & more — lossless, round-trip tested. MCP server + CLI.

Ask for the symbol, not the file. Token-efficient MCP server giving AI coding agents symbol-level reads of TS/JS, Rust, Python, Java, Go, JSON, and Markdown

DataNexa: Local desktop MCP server for secure, read-only access to SQLite, MySQL, and PostgreSQL databases from AI agents.

Memory your agent can trust — every answer carries its source; when it doesn't know, it says so. Hermetic, local, MCP.

Local-first memory for AI agents: teach knowledge as Markdown Domains, capture learnings as Engrams. One Rust binary with MCP server, CLI and hybrid search.

A flow-driven AI coding agent runtime. Write agent workflows in the .at DSL — Turing-complete, inspectable, deterministic. The LLM is one node; atman orchestrates the rest.