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alms — OKF Bundle for MCP Integration

Draft

Agent Learning Management System — self-hosted MCP control plane for agent registry, gap-safe cross-agent learning sync, OKF export, and protocol distribution

By ghassan-ai-projects 3 stars Uncategorized MIT

Best for

  • AI agents using the MCP protocol

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/ghassan-ai-projects/alms
cd alms

Step 2: Point your AI agent at the bundle directory

# Claude Code
claude /path/to/alms
# Cursor
cursor /path/to/alms
# OpenCode
opencode /path/to/alms

MCP: This bundle supports the Model Context Protocol. Configure your MCP client to discover and load this bundle.

Frequently Asked Questions

Is alms OKF conformant?

No, alms is currently marked as a draft bundle. It may not fully follow the OKF specification yet.

How do I install alms?

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 alms?

alms works with any AI agent that supports OKF bundles, including Claude Code, Cursor, OpenCode. Just point your agent at the bundle directory.

What are alternatives to alms?

Similar bundles include galdor, samemind, mnemos. Browse these for alternative approaches and feature sets.