Your own AI agent platform. Any model, your rules.
A harness is everything around an AI model: the skills, the tools it can use, its memory, the rules, the approvals and the logs. We deploy, configure, secure and extend one for you, built on open-source agent frameworks. The model is the engine: plug in a local open model or an API provider, and change it whenever you want.
The problem
Every AI product ties you to its model, its cloud and its pricing. Your data, prompts and workflows end up living inside someone else's platform, and switching means starting over.
How it works
Choose the engine
A self-hosted open model, an API provider, or both, with routing by task and by cost.
Fit the skills and tools
Email, documents, web research, reporting, image and video tools, and your own APIs through MCP, chosen for your work.
Set the rules
Approval before anything public or irreversible, cost caps, access rights and a complete audit log.
Run and grow
Specialized agent profiles for each job. They learn new skills as they work, and everything they learn stays yours.
What you get
- A harness running on your infrastructure or ours
- Agent profiles configured for your teams and tasks
- Model routing you can change without rebuilding anything
- Security hardening, documentation and a handover session
Built with
Open-source agent frameworks, MCP tools, local models (Ollama, vLLM) or API providers, Docker, the tools you already use
A good fit if
- You want AI agents without locking yourself into one vendor
- Your data and prompts must stay on infrastructure you control
- Several teams need different agents with their own rules
We run one every day: a single self-hosted harness with more than fifteen specialized agent profiles for research, DevSecOps, social media, project work and software development. Its agents build new skills as the work requires them.
Talk it through with an engineer
Thirty minutes to look at your process and whether this fits. You leave with a clear next step, whatever you decide.