I open-sourced the "harness" layer for AI agents: run Claude Code/Codex/Gemini with governed MCP tools (browser, editor, secrets)

I just open-sourced (Apache-2.0) a desktop workspace built around one idea: give agents a real, governed set of tools instead of raw shell access. It runs the coding CLIs — Claude Code, Codex, Gemini CLI, OpenCode, Qwen — as first-class agents, and hands them: 100+ MCP tools — an embedded browser they can drive (navigate, run JS, read the page), a code editor, terminals, git, downloads, and a secrets manager. Governance — RBAC + a per-tool kill-switch, so you decide exactly what each agent and tool can touch. Secrets are injected at call time, never pasted into a prompt. A self-evolving toolbox — agents can scaffold and hot-reload their own tools at runtime (each tool is a small self-contained plugin), so the toolset grows with use instead of being fixed. Terminal sharing — hand off or watch an agent's live session from your phone via QR, end-to-end encrypted. The angle for this sub: it's the harness/runtime layer, not another model or CLI — somewhere to run whatever agent you like, with tools you can actually govern and extend, on your own machine. It's early and fully open. Honest gaps: it's new with a small ecosystem, and being a JVM desktop app it's heavier than a bare CLI. I'd love feedback and contributors — new MCP tools / plugins especially.