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·8 hr ago·Dev community · RSS

Runner - A local-first agent orchestrator with collaboration mechanism builtin

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ClaudeOpenAIModel releaseOpen sourceOn-device

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AI summary

Runner is a local-first AI orchestrator designed to enhance work efficiency by enabling multiple agents to collaborate on a single project. It addresses the gap in inter-agent communication across different providers, leveraging the unique strengths of models like Claude and Codex. For instance, Claude excels in design tasks using pen.dev, while Codex GPT-5.6 with fast mode is noted for coding efficiency. The project is open-source under the GPL-3.0-only license and supports macOS on Apple Silicon.

Hi everyone. Recently, I built a local AI orchestrator to increase my own work efficiency. The idea is simple, I want multiple agents to work on a single project from different angles, with a mechanism to talk to each other. I know Claude Code has already built Claude teams and subagents, but talking between multiple agent providers' models is still an empty space, and I found that Codex and Claude each have their own strength in some particular tasks.

For example, I found Claude extremely powerful when doing design works like design using pen.dev , Codex is not even close at this job. Also, Fable 5 is very good at writing specs and plans, but when it comes to coding efficiency, Codex GPT-5.6 with fast mode on seems to be the most reliable and the fastest option for people with only personal subscriptions.

- Multiple runtime support — Claude Code and Codex in the same crew, talking to each other.

- Each agent runs as a real PTY, so its own TUI is the interface rather than a chat wrapper.

- MCP self-drive — Runner is itself an MCP server, so an agent you are already talking to can assemble a crew and start a mission without you writing the mission description yourself.

- Agent templates and crew templates — predefine roles and working conventions for a group of agents.

- UI: gpui-ce 0.3 — Zed's GPUI, GPU-rendered through Metal. No webview and no JavaScript.

- Terminals: portable-pty, so each agent runs in a real PTY and its own TUI is the interface.

- Storage: SQLite (rusqlite, bundled) plus an append-only NDJSON event log as the source of truth for a mission.

- MCP: rmcp 1.7 in server mode — this is what makes the self-drive feature above work.

Runner - A local-first agent orchestrator with collaboration mechanism builtin · BuzzRadr