SwarmMojo — OKF Bundle for AI Agent Memory
DraftFull-fledged local-first AI agent harness combining ROMS (RAG, OKF, MCP, Skills), Decision AI, correction memory, and reviewable workflow preparation.
Best for
- AI agents using the MCP protocol
- Claude Code and AI coding agents
- RAG (Retrieval Augmented Generation) pipelines
- AI agent memory systems
- Developer tooling and DevOps workflows
What it does
- Exposes functionality through the Model Context Protocol (MCP) for agent-native access
- Portable knowledge package that AI agents can load and use at runtime
- Version-controlled with standard Git workflows for collaboration
How to use with AI agents
Step 1: Clone the repository
git clone https://github.com/Buzburg/SwarmMojo
cd SwarmMojoStep 2: Point your AI agent at the bundle directory
# Claude Code
claude /path/to/SwarmMojoMCP: This bundle supports the Model Context Protocol. Configure your MCP client to discover and load this bundle.
Frequently Asked Questions
Is SwarmMojo OKF conformant?
No, SwarmMojo is currently marked as a draft bundle. It may not fully follow the OKF specification yet.
How do I install SwarmMojo?
Clone the repository and point your AI agent at the bundle directory. The agent will automatically discover and load the OKF knowledge. No additional tools or SDKs are required.
What AI agents can use SwarmMojo?
SwarmMojo works with any AI agent that supports OKF bundles, including Claude Code. Just point your agent at the bundle directory.
What are alternatives to SwarmMojo?
Similar bundles include okf-agent-memory, crystalline, agentic-task-system. Browse these for alternative approaches and feature sets.