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agor

agor

Orchestrate multiple AI coding agents with your team

Overview

What it is

Next-gen agent orchestration for AI coding. Multiplayer workspace for Claude Code, Codex, and Gemini.

Intent

I need it when

Explore multiple solution approaches for a coding problem without losing context or starting over

Agor's session forking and spawning creates conversation genealogy trees where users can branch from any point to try different approaches, keeping all exploration paths visible and resumable. Each fork maintains the conversation history up to that point while allowing independent divergence.

Automate workflow stages and code review processes triggered by spatial board interactions

Agor's zone system uses templated prompts that auto-execute when branches are dragged into workflow zones (e.g., 'Ready for Review', 'Needs Tests'). Templates dynamically inject context from git branches, issues, and PRs, eliminating manual copy-paste of URLs and metadata.

Maintain visual organization and cognitive clarity across complex multi-threaded AI coding work

Agor uses a 2D spatial canvas instead of linear terminal scrollback, leveraging spatial memory to help teams remember where work is located. Branches and sessions can be arranged by priority, status, or relationships, making project state instantly scannable.

Enable AI agents to self-manage and drive workflow through MCP server integration

Agor exposes an MCP surface that allows coding agents (Claude Code, Codex, Gemini) to drive themselves through the platform, manage branches, and trigger workflows autonomously rather than requiring manual user intervention.

Organize and manage multiple parallel AI coding sessions with shared context across a team

Agor provides a spatial canvas where teams can fork and spawn AI sessions on isolated git branches, allowing parallel work streams with shared context while maintaining conversation history trees. Real-time multiplayer cursors and comments enable teams to see who is working on what and collaborate asynchronously.

Drop

Not a fit when

  • User needs traditional linear chat interfaces without branching or session forking capabilities
  • Team requires a standalone solution without git integration or branch-based workflow management
  • Organization uses non-git version control systems or has no git repository infrastructure
  • User needs real-time multiplayer collaboration but lacks network connectivity or WebSocket support
  • Project requires support for AI models other than Claude Code, Codex, or Gemini
Commercials

Pricing

Pricing not specified