One workspace. Every team.
The same agents, approvals and audit trail, set up for the work your team does. Pick your team and see how JuhJuh works for you.
Write your rules once. Every ticket follows them.
Templates, five rule levels and locked practices reach every run, whether a person or an agent does the work and whichever model it runs on. The habits of your best engineers, on every ticket.
Five rule levels
Rules cascade through organization, project, team, the codebase's own instructions file and the person. Every run gets all of them, and the most specific level wins.
5 rule levels on every runTemplates by ticket type
Every ticket starts with the same sections and ends with an acceptance-criteria checklist. Each change is checked against the ticket's requirements and acceptance criteria before testing, not only against its tests.
Same sections on every ticketPractices that lock
Tick test-driven development, behaviour-driven development, or visual proof by screenshot or recording, per ticket or as the project default. They lock when the spec is approved, so nobody drops them halfway through.
4 practices, locked at spec approvalReviewers who can't be skipped
Agents attached to a repository join every ticket on it and can't be removed. A second agent on a different model reviews each change with fresh eyes, and review agents run again on every push.
Second-model review on every changeThe same bar for people
Changes from people and from agents go through the same pipeline file and the same checks. After every step, JuhJuh checks the code inside a running copy of your services that mirrors production, then runs your tests and fixes what fails, before your pipeline and code review see it. Main is untouched until a person merges.
One pipeline for people and agentsKnowledge agents read first
Agents read the knowledge base before they start, with the access of the person they work for, and write back what they learned. Last month's library migration is on a page, so the next ticket knows about it.
Read first, written backThe engineer asks three teammates how things are done and gets three answers. The agent was set up by whoever configured it. You spend an hour in review explaining conventions nobody wrote down.
Both tickets carry the same sections, both were built tests-first, and a second model reviewed both. They inherited the standard on day one.
You reject pull requests and leave the same comment. Sometimes the next attempt follows it.
You add the pattern to the project rules and a knowledge page with examples. Every run gets both, and the next change follows the pattern without you writing the comment again.
The habits of your best engineers, on every ticket.
Five rule levels, practices that lock, and a second model on every change.
On our service, or inside your own boundary.
Most teams start on JuhJuh's hosted service. There is nothing to install, your teams are working within days, and we run, update and support it. A team that needs more control, or must keep sensitive data inside, self-hosts JuhJuh instead.
Hosted by JuhJuh
Sign in and connect your tools. We keep the service running, updated and supported, so your people spend their time on their own work.
Your organization gets a workspace of its own, and each organization sees only its own data. When an AI agent works, the prompts and files it needs go only to the AI model companies you allow, only to do the work, inside the regions you declare.
Self-hosted, inside your boundary
In your own cloud account (AWS, Google Cloud, Microsoft Azure or DigitalOcean) or on your own premises, connected or air-gapped, with open-weight models from the Mistral, DeepSeek, GLM and Kimi families running inside. Our engineers install it and tune it to your compliance obligations.
Your sensitive information, trade secrets and know-how never leave your boundary unless you connect an outside service or chat app, approve a website for your AI agents or approve sending them out. While your AI agents run only on your own models, no AI company receives them or trains a model on them.
Start hosted and move when you're ready: our engineers move your workspace across. Some companies run both, the hosted service for most teams and a self-hosted installation for the systems that must stay inside, and each installation is kept separate.
Go deeper into the platform.
All features
Chat, agents, Plan & Work, Views, Charms, the knowledge base and voice, in one workspace.
OpenSecurity
Approvals before anything consequential, four permission levels, and an audit trail of every agent action.
OpenAI agents
Colleagues that remember every person they work with and work within a budget they can't overspend.
OpenThe habits of your best engineers, on every ticket.
Five rule levels, practices that lock, and a second model on every change.
