Overview
Agor is a multiplayer spatial canvas built by Preset for orchestrating parallel AI assistant sessions on a Figma-like board. It coordinates Claude Code, Codex, and Gemini sessions with Git-linked worktrees, enabling teams to manage AI conversations, track agent activities, and visualize collaborative agentic work in real-time. Users create worktrees on a 2D canvas, drop them into zones to trigger templated prompts, and run isolated environments.
Key Features
- Parallel agent orchestration supporting Claude Code, Codex, and Gemini with zone-triggered workflows
- Multiplayer spatial canvas with real-time synchronization, multi-cursor presence, and pinned comments
- Deep Git worktree integration providing isolated environments with automatic port management
- Model Context Protocol (MCP) integration for agent coordination and orchestration across sessions
Use Cases
Engineering teams running concurrent AI sessions for parallel PR workflows, exploring multiple model generation strategies, large-scale code review sessions, and isolated automated regression testing. Reduces context switching and enables reproducible experiments across team members.
Technical Details
Dual runtime model with a local daemon for development and web UI for collaborative control. Real-time WebSocket synchronization with pluggable agent providers and templated zone triggers. Worktree isolation with automatic environment orchestration prevents port collisions and accelerates start/stop cycles.