Detailed Introduction
Agor, built by Preset, is a multiplayer spatial canvas—think Figma for AI coding assistants—designed to orchestrate parallel sessions of AI assistants (AI Agent) such as Claude Code, Codex, and Gemini. Users create Git-linked worktrees on a 2D board, drop worktrees into zones to trigger templated prompts, and run isolated environments managed by Agor’s daemon or web UI. The project emphasizes reproducible isolated development environments and real-time team coordination.
Main Features
- Parallel agent orchestration and scheduling supporting multiple assistant providers.
- Multiplayer spatial canvas with zone triggers to visualize and automate workflows.
- Deep Git worktree integration with isolated environments and automatic port management.
- Integration with Model Context Protocol (MCP) for agent coordination and orchestration.
Use Cases
Agor is suitable for engineering teams that need to run many AI sessions concurrently: parallel PR workflows, exploring multiple model generation strategies, large-scale code review sessions, and isolated automated regression testing. It helps reduce context switching and enables reproducible experiments across team members.
Technical Features
- Real-time synchronization via WebSocket with multi-cursor presence and pinned comments.
- Dual runtime model: local daemon for development and web UI for collaborative control.
- Pluggable agent providers and templated zone triggers for building custom automation pipelines.
- Worktree isolation and automatic environment orchestration to prevent port collisions and speed up start/stop cycles.