Herramientas de desarrollo
mission-control
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
★ 6,3k estrellasMIT
Ver la guía →harnessrouter es un proyecto de herramientas de desarrollo de código abierto de HarnessRouter (HarnessRouter/harnessrouter en GitHub). Tiene 2.929 estrellas en GitHub y 299 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.
One API for every agent harness — run Codex, Claude Code and more through a single self-hosted interface
Decide which harnesses you want behind one API and which model providers you will connect with your own keys.
Pull and run the official Docker image with a persistent data volume.
Wait for first launch to install the enabled harness CLIs, sign in to the console, and add a model provider under Bring Your Own Key.
Submit a task through the console or the OpenAI Responses-compatible API and watch it stream, then try switching harnesses.
Implements UHP, an open standard, so harnesses become plug-and-play agent backends behind one integration.
Run Codex, Claude Code, Hermes, PI, DSH and more, and switch harnesses per task to optimize cost and latency.
Provides an OpenAI Responses-compatible API for product integration.
Persistent sessions, streaming progress, files and artifacts are handled by the router.
Built-in cancellation and structured failure handling across harnesses.
Community Edition runs on your infrastructure with your own provider keys; data persists in a Docker volume.
Clone HarnessRouter (the quickest run path is the Docker image in step 2).
git clone https://github.com/HarnessRouter/harnessrouter.git
cd harnessrouterStart the self-hosted Community Edition exactly as the README quickstart shows.
docker run -d --name harnessrouter \
-p 127.0.0.1:3000:3000 \
-v harnessrouter:/data \
harnessrouter/harnessrouterWait for '[harnessrouter] ready on :3000' in the logs, then open http://localhost:3000 and sign in (default harnessrouter / harnessrouter).
docker logs -f harnessrouterReaders working through the Dev Tools shelf also stop at Assistant, AI stack centered on an agent hypervisor. The Dev Tools shelf also holds openmed — Local-first healthcare AI: clinical NER and HIPAA PII de-identification that runs 100% on-device. Readers working through the Dev Tools shelf also stop at KiroCrew, a persistent, self-improving workspace where AI dev crews keep working after you close the tab.
HarnessRouter (the team behind harnessrouter.ai) maintains it; this repo is the open Community Edition of their unified harness interface.
The Community Edition is free and Apache-2.0 licensed, self-hosted on your infrastructure. Harness CLIs installed on first launch keep their own upstream licenses.
Yes — you bring your own model provider keys (added in the console under Bring Your Own Key); model usage is billed by your provider. You do not need a HarnessRouter API key to run console tasks.
Direct integration means handling sessions, streaming, files and failures separately for every harness. HarnessRouter gives one API and lets you switch harnesses freely.
Run the Docker command from the README, wait for the ready log line, open http://localhost:3000, add a provider key, and run a task.
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.