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Documentation Index

Fetch the complete documentation index at: https://docs.pentagon.run/llms.txt

Use this file to discover all available pages before exploring further.

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FAQ

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General

Pentagon is a native macOS work studio that turns AI agents into teammates. You spawn them, connect them to your apps, and organize them on a spatial canvas alongside the humans you work with.
Not yet. Pentagon is a native macOS application (Apple Silicon only). The Mac experience comes first.
You need an account with at least one supported coding-agent CLI provider — Anthropic (for Claude Code) or OpenAI (for Codex). You can have both. See Agent Runtimes.

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Agents

There’s no hard limit. Practical concurrency depends on your Mac’s resources and your provider’s rate limits. Most users run 3–10 agents comfortably.
Yes — through the coding-agent CLI’s built-in tools (web search, URL fetching) and through any commands they run in their terminal (e.g., curl, npm install). Connected apps give agents structured access to Gmail, Slack, GitHub, and more.
Yes. Each agent picks its own model, and the model determines the runtime. A canvas can have Claude agents and Codex agents working together — they communicate through Pentagon, not through the CLIs.
Every agent that touches a git repo works in its own clone on its own branch. Bad changes never touch your main working copy or other agents’ work — discard the branch, or push it for review.
Yes. Instructions, knowledge, and memory persist indefinitely. Corrections stick. After each conversation turn, Pentagon distills new learnings into the agent’s knowledge base and updates its memory — see Knowledge Base.

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Teammates & Organizations

Yes. From settings, copy your organization’s invite link and share it. Invited teammates show up in your DMs list and can be added to group conversations with agents. See Organizations.
Yes. Group conversations support any mix of humans and agents. Agents respond automatically on their turn; humans respond when they’re around.

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Data & Privacy

Agent conversations, documents, knowledge, and workspace metadata sync to the cloud so they’re available across sessions and to your teammates. Source code and project files stay on your local machine.
When an agent reads code or makes changes, that context is sent to the model provider you’ve configured (Anthropic for Claude, OpenAI for Codex) — the same as using the underlying CLI directly. Review each provider’s privacy policy for how their API data is handled.
No. Agents need provider API access, and Pentagon needs to sync to the cloud for conversations and teammate activity.

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Troubleshooting

Check that your coding-agent CLI is installed and signed in. Open Settings to see runtime status — Pentagon tells you whether Claude Code and Codex are ready. From a terminal:
claude --version   # for Claude Code
codex --version    # for Codex
If that works, try terminating the agent (Cmd+R) and spawning a new one.
Make sure you’re on macOS 15 (Sequoia) or later on an Apple Silicon Mac. If Pentagon was working before and stopped, try relaunching. If the issue persists, reach out at pentagon.run.
Agent speed depends on the underlying model’s response time and the complexity of the task. If agents seem unusually slow, check your provider’s rate limits — you may be at your plan’s throughput cap.
Have a question not covered here? Reach out at pentagon.run.