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AgentGrid

AgentGrid is a desktop workspace that unifies coding agents, terminals, and browsers into a single visual canvas so developers can orchestrate multi-agent workflows without switching tools. It enables a master agent to spawn and coordinate workers across AI harnesses like Claude, Codex, and OpenCode, while persisting project context, notes, and agent sessions for seamless resume after restarts. Available for macOS, Windows, and Linux, the app includes a background daemon that starts automatically and supports voice-driven coordination through its Coordinator feature.

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2100+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Developers working with multiple AI coding agents face fragmented workflows, forcing them to switch between separate chat windows, terminals, and source control tools. This fragmentation breaks context continuity, makes it difficult to coordinate multi-agent teams, and wastes time re-establishing project state every time a session is interrupted.

Solution

AgentGrid provides a visual canvas workspace that brings coding agents, terminals, and browsers into one unified environment. A master agent pane can spawn and coordinate worker agents across installed AI harnesses—including Claude, Codex, OpenCode, Cursor, Grok, and Devin—each running in its own visible pane with live streaming of reasoning and tool activity. The platform persists project layout, notes, agent sessions, and terminal output so users can restart and resume work with full context intact. Source control views show diffs beside the conversation, and provider usage indicators display limits and reset times. The desktop app runs on macOS, Windows, and Linux with a background daemon for always-ready agents.

Target Audience

Primary users are software developers and engineering teams who work with multiple AI coding agents and need a unified workspace to orchestrate, monitor, and review multi-agent development workflows.

Features

  • Master-worker orchestration model enabling one agent to spawn, coordinate, and reuse workers across multiple harnesses (Claude, Codex, OpenCode, Cursor, Grok, Devin, Kimi, Antigravity, Muse, pi-mono) with optional per-task model selection
  • Persistent canvas with saved project layout, notes, agent sessions, and terminal output for seamless resume after restart or interruption
  • Source control integration showing worktree diffs beside the agent conversation for focused review
  • Cross-agent messaging via `send_to_pane` with nonce-fenced attribution, enabling direct collaboration between master sessions
  • Provider usage dashboard displaying limits, reset times, and capacity across installed harnesses
  • Voice control through the Coordinator, which accepts calls and submits wrap-up summaries automatically
  • Recovery tools including `list_my_team` and `list_recoverable_sessions` for rediscovering workers and resuming sessions after restart
This profile is AI-generated and may contain inaccuracies.