Orchestrators
OneCLI
Governed team agent harness with isolated runtimes, memory, schedules, credentials, and policy controls
Mission Control is a self-hosted control plane for running agent fleets across multiple runtimes. Operators can dispatch tasks, inspect runs, review failures, track spend, set schedules and approvals, and expose Web UI, CLI, MCP, REST, WebSocket, or SSE interfaces from the same repository.
Self-hosted control plane for operating AI agent fleets
Overview
Mission Control is an MIT-licensed, self-hosted control plane for coordinating agents and runtimes through shared tasks, run visibility, approvals, schedules, alerts, and cost tracking.
Listing decision
Mission Control directly coordinates agent identities, task assignment, execution, handoffs, approvals, schedules, and run visibility, making agents the core workers in its control plane.
Before you choose
Operators coordinating multiple agents or runtimes who need shared task ownership, run inspection, approval and quality gates, scheduling, and spend or failure visibility.
Mission Control is alpha software with APIs, schemas, and configuration that may change; it is self-hosted rather than a managed multi-tenant service, and adapter depth varies by runtime.
Sources
First-party unless marked otherwise. Each link supports only its adjacent claim.
Builderz Labs documents Mission Control as a self-hosted control plane for agent tasks, runs, approvals, schedules, costs, knowledge, governance, and multiple runtime integrations.
official repository · accessed Sep 3, 2026The documented interfaces include a web UI, CLI, MCP server, OpenAPI-described REST API, WebSocket, and SSE.
official documentation · accessed Sep 3, 2026Mission Control supports local, Docker, standalone, reverse-proxy, and self-hosted server deployments with persistent SQLite state.
official documentation · accessed Sep 3, 2026Mission Control is licensed under the MIT License.
official license · accessed Sep 3, 2026Orchestrators
Governed team agent harness with isolated runtimes, memory, schedules, credentials, and policy controls
Orchestrators
Open-source orchestration for teams of AI agents
Orchestrators
Local control plane for persistent Claude Code and Codex teams with durable work ownership, review, proof, and restore state
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