Harness & swarm management for the enterprise

A new model ships next month.
Does your company get better?

With SoloHQ, yes. Your processes live as skills any model can run and verify, so every release is tested on real work and rolled out across business units.

Harness · Skills

Know-how that belongs to the company, not to a model.

Build your harness

A skill is a plain file: the steps, the context it reads, and a check that runs in seconds. SoloHQ writes it from how your teams and agents already do the work. Switch models or vendors and the skill stays.

Harness · Context

Context that is reconciled, not just collected.

Build your harness

Pages, threads, and code come in from every source and are checked against each other. When two say different things, SoloHQ picks the one the evidence supports and rewrites the file. It asks you only when the evidence is unclear.

Harness · Tasks

Tasks sized for agents, not for a board.

Build your harness

One line of intent becomes a plan. Tasks are split where steps are independent, routed to a model by size, and verified on the way out. The ones that touch money, auth, or customer data wait for a person. Nobody drags cards.

Harness · Swarm

Adopt a new model on evidence, not on a pilot.

Build your harness

When a model ships, SoloHQ replays your skills on it against their checks and shows, per skill, what it does better and what it costs. Work moves where it wins. Policy changes wait for you.

Harness · Security

A swarm you can hand to security.

Build your harness

Every task runs in its own sandbox with only the repos, files, and credentials it needs, and the sandbox is destroyed after verification. Secrets never enter the context. Every read, write, and merge is logged against a task, a skill version, and a lane, so an auditor can replay what any agent did and why.

Not a board to keep up to date

Work-management tools were built for people to plan in an interface, with agents added on top. In SoloHQ the harness sizes and hands out the work. You see a short list of calls that need judgment.

Not a chat with a few automations

Giving everyone a chat is a good first step. SoloHQ is for the step after it, when agents do real work on your code and knowledge and cost, context, and coordination start to matter.

Not another agent

The labs will keep shipping better models and agents. Good. Each one still needs your skills and current context. Keep those in SoloHQ, and each release becomes an upgrade across the business rather than a new project.

Start with one business unit.

Connect its repos, docs, tools, and agent logs, and let SoloHQ build its harness. The next model release becomes an upgrade for that unit, not a new project. Extend it across the enterprise, or the portfolio, when you like what it does.