HUMANWe ship custom AI agents. You keep the system that runs them.
Human+Machine sits with your team, builds agents for real workflows, and stands them up on MonkeyBot. It is a company-owned runtime, so the work keeps running after we leave. Your stack. Your data. Your walls.
Work with usThe problem
Most AI work dies when the engagement ends
Companies do not need another roadmap deck. They need agents their teams can actually run, on a shared runtime they control, with data that never leaves the building.
The usual pitch
"We'll advise on your AI roadmap."
What we leave behind
"We'll sit with your team, ship working agents, and leave you a system that runs."
The product we ship on
MonkeyBot: harness and app
Everything we build for you runs on MonkeyBot: a shared company runtime underneath, and an app your team uses day to day. Agents do not vanish when the project ends.
MonkeyBot harness
The engine agents run on. Tools, skills, durable memory, and a shared company server, locally or anywhere Docker runs. You own the runtime.
Open on GitHubMonkeyBot app
The desktop face of the harness. Workspaces, Agent Studio, and scheduled routines, so the whole company can run agents without living in a terminal.
Desktop appCompany server
One runtime the whole org can hit. Agents and context in one place.
Data you retain
Memory, logs, and knowledge stay in environments you control.
Runs where you do
Local, Docker, AWS, GCP, Azure, or hybrid. Your call.
How an engagement works
From first workflow to a system that sticks
Find the workflow
We sit with your team and pick a high-friction process worth automating. Not a science project.
Ship the agents
We build and harden agents on MonkeyBot against your real tools and data, then put them in your team's hands.
Leave the runtime
MonkeyBot stays as your shared company server. Memory, tools, and agents keep running after we step back.
In practice
One example of how this lands
An ops team spends hours every week chasing status across email, tickets, and spreadsheets. We ship a MonkeyBot agent that pulls the same sources, drafts the update, and routes exceptions to the right person. Then we stand the runtime up on their stack so the whole org can reuse that pattern for the next workflow.
Same model for manufacturing quality checks, retail campaign ops, or internal knowledge agents. Build once on MonkeyBot, share the server, keep the data in-house.
Work with us
Ready to leave with something that runs?
- Sit with your team on a real workflow
- Ship custom agents on MonkeyBot
- Stand up a shared company server you control
- Keep memory, tools, and data inside your walls