Dorchestrator desktop workspace coordinating AI coding agents in Kanban, Swarm, Mux, and Skill modes.

Local-first AI coding agent orchestration

Dorchestrator

Dorchestrator brings Claude Code, OpenAI Codex, and built-in coding agents into one desktop workspace. Plan and review tasks on a Kanban board, coordinate multi-agent swarms, reuse terminal layouts and Skills, and inspect readable tool activity with workflow state stored in your selected project folder.

4
workspace modes
10
visual themes
1
control layer
A desktop AI agent orchestrator for solo developers, indie hackers, and technical founders. Built for macOS, Windows, and Linux with your own model-provider accounts.

Product

Four workspaces for orchestrating AI coding agents

Use Kanban to delegate and review tasks, Swarm to coordinate connected agents, Mux to manage repeatable terminal layouts, and Skill to install reusable SKILL.md capabilities. Every mode works against the same selected local workspace.

Dorchestrator Kanban board showing agent tasks across workflow stages
Kanban Mode

Delegate coding tasks with visible review gates

Turn prompts into task cards, run a shared agent or Swarm, and keep final responses, transcripts, and tool timelines attached for review.

Dorchestrator Swarm graph connecting specialized coding agents
Swarm Mode

Coordinate multi-agent coding workflows

Build graph-based agent teams with reusable roles, connected messaging, shared project context, and provider-specific terminal choices.

Dorchestrator Mux workspace with multiple agent terminals
Mux Mode

Run repeatable multi-terminal agent sessions

Save template-driven terminal layouts for recurring workflows, then switch quickly between shell, Claude Code, Codex, and built-in agent contexts.

Dorchestrator Skill library with reusable agent capabilities and platform installs
Skill Mode

Manage reusable coding-agent Skills

Scan, preview, import, and install SKILL.md capabilities from one central library across supported agent platforms and project-local discovery.

Themes

Ten themes for the way you want to work

Change the entire application surface without changing the workflow. Choose from five focused dark themes and five expressive light themes, each applied consistently across Kanban, Swarm, Mux, and Skill modes.

Dorchestrator Kanban workspace using the green Terminal CLI theme
Dark theme

Terminal CLI

High-contrast green phosphor styling for terminal-first focus.

Dorchestrator Kanban workspace using the indigo Modern Dark theme
Dark theme

Modern Dark

Quiet panels and softened geometry for long building sessions.

Dorchestrator Kanban workspace using the bright Material You theme
Light theme

Material You

Bright rounded surfaces with an accessible purple hierarchy.

Dorchestrator Kanban workspace using the black and gold Art Deco theme
Dark theme

Art Deco

Presentation-ready black and gold with crisp geometric framing.

Dark collection

Focused contrast for terminals, graphs, and long-running work.

  • Terminal CLI
  • Modern Dark
  • Minimal Dark
  • Cyberpunk
  • Art Deco
Light collection

Clear daylight surfaces ranging from strict to approachable.

  • Monochrome
  • Swiss Minimalist
  • Neo Brutalism
  • Enterprise
  • Material You

Tool Transparency

See what every coding-agent tool call is doing

Dorchestrator turns agent activity into concise queued, running, completed, and failed events. See which tool is called, why it is used, and the high-signal result without reading raw JSON or reconstructing progress from terminal output.

Queued
Read file context

Open source files needed to inspect Kanban timeline rendering.

Running
Search workspace

Find references to built-in agent tool event parsing.

Done
Patch renderer

Added bounded previews for tool summary and result details.

Failed
Run command

Command failed with permission error. User approval required.

Before

Users saw coarse status changes and generic queued signals. Reviewers had to infer progress from raw terminal output and final replies.

After

Each tool call appears as a stable row with action summary, lifecycle state, concise result preview, and visible failure context.

Why it matters

Transparency reduces guesswork, keeps long-running work understandable, and makes it easier to trust an agent while staying in the loop.

Local-First Design

Use your own AI providers from one desktop control layer

Dorchestrator coordinates the coding tools you configure; it does not resell model inference. Task boards, agent definitions, run history, templates, schedules, and related runtime records stay in the selected local workspace.

Built for independent software builders

Solo developers, indie hackers, technical founders, and AI-heavy builders use one workspace to coordinate several coding agents without adding a hosted control plane.

Supervise parallel agent tasks

Track long-running work on a Kanban board and in agent timelines instead of inferring progress across several raw terminal windows.

Keep workflow state with the project

Reusable templates, schedules, task state, agent definitions, and run history live with the selected workspace so recurring work is easier to restart.

Choose a desktop license

Choose Pro for continuous updates or Lifetime for a durable desktop license. Models stay on your own provider accounts, so the app never resells inference.

Bring Claude Code, Codex, or built-in agents

Use the coding tools and provider accounts you already have, then point each agent session at the same selected project workspace.

Review before accepting output

Final responses, transcripts, lifecycle events, and failure context stay attached to the work so you can accept, revise, or discard agent output.

Early Access

Join the Dorchestrator early-access waitlist

Dorchestrator is still in development. Join for launch updates, invitations to test the local AI coding-agent workspace, and a clear notice before paid plans open.

  • Launch notice without feed noise
  • Early workflow previews
  • One-click unsubscribe from every update
Private beta queue

Reserve your launch update

Plans

Dorchestrator pricing for independent developers

Choose a subscription for continuous updates, or own the desktop license with a one-time purchase. Your model usage stays on your provider accounts.

Lifetime

$149

For builders who prefer one payment and a desktop version they can keep.

  • All current Pro desktop features
  • Personal license with one-time payment
  • One year of product updates included
  • Keep your last eligible version; renew updates optionally
Buy Lifetime

Workflow

Plan, repeat, and review AI coding-agent work

Start

Start from the tools you already use: Claude Code, Codex, or the built-in coding agent, all pointed at the same local workspace.

Repeat

Convert repeated prompts into templates and scheduled automations so common coding loops become faster to restart.

Trust

Use transparent tool events and run history to see what happened before you accept, revise, or discard the agent output.

Frequently Asked Questions

Dorchestrator questions, answered

Direct answers about the desktop app, supported coding agents, local data, workspace modes, provider accounts, and operating systems.

What is Dorchestrator?

Dorchestrator is a local-first desktop application for orchestrating AI coding agents. It brings Claude Code, OpenAI Codex, and built-in agents into one workspace for task planning, multi-agent coordination, terminal sessions, reusable Skills, and run review.

Which AI coding agents does Dorchestrator support?

Dorchestrator can launch and coordinate Claude Code, OpenAI Codex, and its built-in coding agent. Mux templates can also run shell sessions and configured command-line tools in the selected workspace.

What do Kanban, Swarm, Mux, and Skill modes do?

Kanban delegates and reviews tasks, Swarm coordinates connected agents, Mux runs reusable multi-terminal layouts, and Skill manages reusable SKILL.md capabilities across supported agent platforms.

Is Dorchestrator local-first?

Yes. Workspace configuration, task boards, agent definitions, run history, templates, schedules, and related runtime records are stored locally, primarily under .dorchestrator in the selected project. Data can still be sent to a model provider when you direct an agent to use that provider.

Do I need separate Claude or OpenAI access?

Yes. You bring the provider accounts and credentials required by the coding tools you choose. Dorchestrator coordinates those tools, while third-party model usage, fees, and limits stay with your provider accounts.

Which operating systems does Dorchestrator support?

Dorchestrator is built for macOS, Windows, and Linux as a desktop developer tool.

Field Notes

Build better AI-agent workflows

Read practical guides, architecture notes, and lessons from building local-first coding-agent orchestration.

Read the Blog