Assemble teams of specialized AI agents. Give them a brief. Watch them build software in parallel — with full visibility and real-time control.
Your projects need architecture, frontend, backend, QA, and DevOps. Running them through a single chat is sequential, slow, and context-limited.
From agent definition to running code. No boilerplate, no configuration hell.
Create reusable AI personas with specific specialties, models, and system prompts.
Assemble agents into team configurations that mirror real org structures.
Point a project at a codebase, assign a roster, and set the working directory.
Write a brief. The director plans, spawns agents, and they execute in parallel.
Watch agents work in real time. Message the director. Continue with new instructions.
Not a chat wrapper. A full control plane with observability, persistence, and integrations.
Multiple agents work simultaneously on different parts of the problem. A director breaks down work and spawns specialists.
Director, Lead, and IC tiers mirror real engineering teams. Each tier has distinct responsibilities and model assignments.
Live message streams, file activity tracking, per-model token usage, and agent status — a true mission control dashboard.
Pause, review output, and continue sessions with new instructions. Context carries forward — no re-explaining.
Save roster configurations as templates. Deploy proven team compositions across projects instantly.
Every session produces structured documentation of what changed, who did it, and why. Full audit trail.
Full export and import of agents, rosters, projects, sessions, and message logs. JSON-backed. You own your data.
Per-session, per-model token tracking with cost estimates. Know exactly how much work each agent performs.
Visual project lifecycle: Draft, Active, Paused, Completed, Archived. Drag-and-drop or list view.
Director orchestrates. Leads coordinate domains. ICs execute. Each agent runs on the model that fits its role.
Receives the full brief and team roster. Plans work, breaks it into tasks, and spawns lead and IC agents. Best on Opus for complex reasoning.
Spawned by the director to own a technical domain — frontend, backend, data, QA. May in turn spawn ICs. Run on Sonnet for balanced performance.
Focused specialists that do the hands-on work: writing code, running tests, building features. Run on Sonnet or Haiku for efficiency.
Not an island. Teamster plugs into your IDE, your AI tools, and your communication platform.
Native WebSocket bridge connects Teamster to the UE5 editor. Agents work directly inside your game project.
UE5 Plugin includedWebSocket bridge for Unity editor integration. AI agents work on your Unity project with live feedback.
Unity Bridge included25-tool Model Context Protocol server. Any MCP client can query and control Teamster programmatically.
25 tools • CRUD • AuthLaunch sessions, check status, and stop agents directly from any Slack channel. No app-switching required.
Socket Mode • LocalMultiply your output without growing headcount. Write the brief, review the results. The agents handle implementation.
Tackle projects that normally require a larger engineering org. Each developer operates at 10x capacity with their own agent team.
Native UE5 and Unity bridges mean agents work inside your editor workflow. Build tools, systems, and content pipelines.
Software needs outpace capacity everywhere. Teamster lets your existing staff address the backlog that keeps growing.
Write a brief. Watch the director plan. See agents spawn and execute.
Electron + React + Tailwind. Windows & macOS.
Claude Opus, Sonnet, Haiku via Agent SDK.
Local JSON. No cloud. Full data sovereignty.
Localhost only. No telemetry. Bearer token auth.