Agor Overview
Agor is a sophisticated agent orchestration tool designed to streamline AI-powered coding. It functions as a multiplayer-ready, spatial layer that integrates various agentic coding tools, including Claude Code, Codex, and Gemini, into one unified and collaborative workspace. Described as 'Figma for AI coding assistants,' Agor allows individuals and teams to manage swarms of AI agents, visualize complex workflows on a spatial canvas, and automate tasks through an intuitive interface. It is built to eliminate common development bottlenecks like context switching and environment conflicts.
How to use Agor
To get started with Agor, users typically interact with it via its command-line interface (CLI) and web UI. The initial setup involves installing the Agor package globally via npm (`npm install -g agor-live`), initializing a project (`agor init`), starting the daemon (`agor daemon start`), and then opening the web interface (`agor open`). Inside the platform, you can create worktrees linked to GitHub issues or PRs, spawn AI agent sessions (e.g., Claude, Gemini) for specific tasks, and organize them on the spatial canvas. You can then use 'zones' to trigger automated workflows by simply dragging and dropping worktrees.
Core Features of Agor
- Agent Swarm Control: Run and coordinate multiple AI coding sessions with agents like Claude Code, Codex, and Gemini simultaneously.
- Multiplayer Spatial Canvas: A Figma-like interface to organize AI coding sessions, featuring real-time cursors, comments, and reactions for team collaboration.
- Session Trees: Fork AI sessions to explore different coding paths without losing the original context, and spawn sub-sessions for focused tasks.
- Zone Triggers: Automate workflows by defining zones on the canvas that trigger templated prompts when worktrees are moved into them.
- Isolated Development Environments: Each worktree gets its own isolated environment with auto-managed unique ports, preventing conflicts when working on multiple branches or PRs in parallel.
- GitHub-Native Integration: Link worktrees directly to GitHub issues and pull requests, allowing AI agents to automatically pull context for their tasks.
- Mobile-Friendly UI: Monitor progress and send prompts to your AI agents on the go with a mobile-optimized interface.
Use Cases for Agor
Agor is ideal for software development teams looking to accelerate their workflow by leveraging multiple AI agents. A primary use case is managing a parallel pull request (PR) workflow, where a team can work on several bug fixes and new features simultaneously. Each task is assigned to a separate worktree with its own AI agent and isolated environment. This setup allows all agents to work in parallel without interference, with progress visualized on the shared canvas. It's also suitable for complex problem-solving where multiple approaches can be explored in parallel by forking AI sessions.
Advantages of Agor
The main advantage of Agor is its ability to orchestrate multiple AI agents in a collaborative, visual, and non-conflicting manner. It solves the problem of context switching and environment collisions that arise when developers work on multiple tasks at once. By providing isolated environments for each task, it ensures that parallel development is smooth and efficient. The multiplayer canvas enhances team visibility and collaboration, allowing members to see what others are working on in real-time. Furthermore, its workflow automation features (Zone Triggers) help standardize and speed up repetitive coding processes like analysis, development, and review.
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Traffic
Latest traffic
Status
Monthly traffic trend
- 2026-1: 3.5K
- 2026-2: 3.4K
- 2026-3: 5.6K
- 2026-4: 5.5K
- 2026-5: 5.9K
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Top 5 countries / regions
- 🇺🇸United States66.0%
- 🇻🇳Vietnam28.8%
- 🇬🇧United Kingdom4.8%
- 🇮🇳India0.5%
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