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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. 1

    Sign in to the panel

    An organization admin creates your account. Signing in and your password

  2. 2

    Add a node and a Claude accountadmin

    The machine and the account your agents will work on. Nodes · Claude accounts

  3. 3

    Create a project and add a credential

    A GitHub, GitLab or Bitbucket token. Projects of the organization · Credentials of a project

  4. 4

    Connect a repository

    The code the agent will work on. Repositories

  5. 5

    Add an agent and give it a task

    Choose a role, a node and a release, then watch it work. Adding an agent · Tasks of an agent