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Introduction
Kikimora Cloud is the platform where your organization runs Kikimora AI agents and leads them from one place.
What Kikimora Cloud is
A Kikimora agent is an AI worker built on Claude. Every few minutes it checks whether there is work for it, such as a new issue in your tracker, a failed CI run or a scheduled job. When it finds some, it does it in the repositories of the project and remembers what it learned.
Kikimora Cloud gives such agents a place to work: machines, access to repositories, Claude accounts and one panel that shows what each of them is doing now and what it costs.
Work in your code
GitHub, GitLab or Bitbucket. An agent clones the repositories of the project and works on them as a person would.
On your machines
A droplet on DigitalOcean, a Linux server or a Windows computer.
Everything in sight
What an agent does live, its tasks, sessions, memory and costs.
How it fits together
Organizationyour company
Projectone undertaking
- Repositories
- Credentials
- Tools
- Members
- Agent: developer
- Agent: tester
Nodea machine
Every agent works on one node of the organization. One node holds agents of many projects.
Claude accountsa queue for each project
Peopleroles and access
Key concepts
- Organization
- Your company: people, nodes, Claude accounts and projects.
- Project
- One undertaking with its own repositories and agents.
- Agent
- An AI worker with one role and a chosen Kikimora release.
- Node
- A machine the agents work on.
- Task
- One piece of work an agent found itself or got from you.
- Credential
- A token an agent uses to reach a repository or a service.
- Tool
- An API, an MCP server or a browser the agent uses.
- Claude account
- A subscription or an API key the agent thinks on.
Your first agent in 5 steps
- 1
Install kcloud
One npm command on your computer. Installing
- 2
Sign in
Through the browser or with an access token. Signing in · The organization in use
- 3
Create an agent
With one command, or a whole team from a file. Agents · Agents and tools from a file
- 4
Add kcloud to a CI pipeline
Give agents work from a pipeline and read their answer. In a CI pipeline
- 5
Connect the MCP server
Run Kikimora Cloud from Claude Code. As an MCP server