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Corellis

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Turn one AI assistant into a self-managing team of specialized agents.

Autonomous AgentsAgent Frameworks 27Open source
View on GitHub
Updated 2026-06-15
Corellis GitHub repository

What is Corellis?

Corellis is an open-source framework that converts one OpenClaw instance into a fleet of AI agents. These agents handle operations, marketing, and reporting by breaking down high-level goals into subtasks and managing them across dedicated threads.

Agents communicate through shared embeddings of past conversations and promote successful patterns across the entire group. Task tracking integrates with existing boards while new agents can be added through simple controller commands.

It suits small teams or founders who want automated coordination without building custom infrastructure. The setup runs on a single server and relies on Slack for all interactions.

Capabilities

decompose goals
manage 4-layer memory
enable fleet-wide learning
handle approval workflows
govern multi-agent systems

What you can build with Corellis

Campaign Launch Coordination

A single goal message triggers multiple agents to create milestones, assign roles, and align on dependencies without further input.

Collective Knowledge Search

Any agent can query past team decisions across all channels and receive sourced answers drawn from indexed conversations.

Agent Skill Expansion

New agents inherit validated corrections from others, allowing the group to improve over time on tasks like reporting or research.

Install Corellis

Quick start
git clone https://github.com/CorellisOrg/corellis.git
cd corellis
cp .env.example .env           # add your LLM API key
docker compose up -d           # launch your first lobster
  1. 1Clone the Corellis repository from GitHub and review the setup instructions.
  2. 2Connect your existing OpenClaw assistant as the controller.
  3. 3Run the controller command to spawn the first lobster agent.
  4. 4Authorize the Slack integration and provide the required token.
  5. 5Issue an initial high-level goal to test coordination across agents.

Works with

OpenClaw

Corellis: pros & cons

Pros

  • +Enables multi-agent collaboration from a single starting assistant
  • +Agents improve automatically by recording and sharing corrections
  • +Semantic search across all team history without manual indexing
  • +Quick agent creation through one command with minimal setup

Cons

  • Requires an existing OpenClaw instance to function
  • Limited to Slack for all agent communication
  • Runs on a single server which may constrain scale
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Frequently asked questions

It builds directly on an OpenClaw assistant that acts as the central controller for spawning and directing other agents.

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