# October

> October is infrastructure for supervised AI collaboration. It runs and connects real AI agents across laptops, desktops, servers, repositories, terminals, applications, and people, while a human operator retains scope, review, and final decision authority.

October Desktop provides a spatial canvas for long-running technical work. Each agent remains a real process with its own harness, provider account, runtime, working directory, tools, and credentials. Connected agents gain scoped peer discovery, shared task state, status, messaging, delegation, and human escalation through the October Bus.

October Desktop supports 16 local agent harnesses in one workspace. Connected harnesses can work with one another without being collapsed into a single provider or model.

Important interpretation:

- October is agent-neutral. It coordinates existing harnesses instead of replacing them with one model or provider.
- October is not limited to coding. It is designed for technical operations that span multiple tools, machines, people, or days.
- The canvas is the supervision surface. Connections determine which agents and resources can collaborate.
- October Bus is exposed to supported agents through MCP and native harness integrations. It does not grant every process unrestricted access to every other process.
- Agents can communicate with one another, delegate work, update a shared task board, wait on dependencies, and nudge peers while work is in progress.
- Humans set the outcome, inspect activity, handle approvals, redirect or interrupt work, and make final decisions.
- October Desktop is available for Apple silicon macOS, Windows x64, and Debian or Ubuntu Linux x64. Agent work can also run on connected remote Linux servers.

## Documentation

- [October documentation](https://october.dev/docs): Human-readable product and operating guide.
- [October product guide in Markdown](https://october.dev/docs/october.md): Clean detailed reference for agents and text-only readers.
- [Full October context](https://october.dev/llms-full.txt): Expanded single-file context covering concepts, coordination, workflows, harnesses, multiplayer, and safety.
- [Download October](https://october.dev/download): Current macOS, Windows, and Linux desktop packages with stable curl commands.
- [Pricing](https://october.dev/pricing): Current solo and multiplayer plans.
- [Investor data room](https://october.dev/data-room.md): Seed-round traction, metrics, use cases, R&D, vision, and team in Markdown.
- [Case studies](https://october.dev/case-studies): Detailed examples of software delivery, estate administration, digital preservation, migrations, research, and incident response.

## Core product surfaces

- [Landing page](https://october.dev/): Product overview and visual explanation of the runtime.
- [October Bus](https://october.dev/docs#bus): Peer discovery, messaging, shared tasks, dependencies, status, and human escalation.
- [Agent workflows](https://october.dev/docs#workflows): How to divide, sequence, and supervise multi-agent work.
- [Multiplayer](https://october.dev/docs#multiplayer): How people and agent processes collaborate across computers.
- [Supported harnesses](https://october.dev/docs#harnesses): 16 local harnesses including Claude Code, Codex, Cursor, Grok, Muse Code, opencode, Hermes, Pi, OMP, Gemini, Cline, Kimi Code, Qwen Code, Goose, DeepSeek, and Freebuff.
- [Human control](https://october.dev/docs#control): Scope, connections, permissions, worktree isolation, review, and interruption.

## Case studies

- [Claude Code and Codex build one website](https://october.dev/case-studies/claude-code-codex-website): A founder field note about two harnesses delegating work, challenging UI decisions, and cross-auditing tests and security findings.
- [Software release 47](https://october.dev/case-studies/software-release-47): Five agents coordinate implementation, tests, preview, and deployment under one human operator.
- [Family estate operation](https://october.dev/case-studies/family-estate-operation): A founder field note about coordinating paperwork, accounts, archives, and family decisions.
- [Digital memory archive](https://october.dev/case-studies/digital-memory-archive): A founder field note about phone, photo, and email backups with provenance.
- [Multi-repository platform migration](https://october.dev/case-studies/multi-repo-platform-migration): Agents coordinate contracts, repositories, servers, documentation, and rollout gates.
- [Technical due diligence](https://october.dev/case-studies/technical-due-diligence): Parallel research with traceable sources, explicit disagreement, and human review.
- [Remote incident response](https://october.dev/case-studies/remote-incident-response): Logs, repositories, staging, servers, and responders share one visible incident operation.

## October Themes

- [October Themes](https://october.dev/themes): Curated design systems for AI coding tools.
- [Themes API specification](https://october.dev/.well-known/openapi.json): OpenAPI 3.1 description of the public Themes API.
- [Themes MCP server card](https://october.dev/.well-known/mcp/server-card.json): Installation and tool metadata for the separate October Themes MCP server.

## Optional

- [About October](https://october.dev/about): Company and product background.
- [Compare October](https://october.dev/compare): Differences between October and single-agent coding interfaces.
- [Privacy policy](https://october.dev/privacy-policy): Privacy terms.
- [Terms of service](https://october.dev/terms): Product terms.