Rancher AI - Multi-Agent Architecture with Multiple MCP Servers
a project by rcabello
Updated about 1 month ago. 6 hacker ♥️. 5 followers.

Description

This project aims to evolve our current single agent AI system into a multi-agent architecture capable of coordinating multiple specialized agents, each powered by its own Model Context Protocol (MCP) server.

It should be simple to register new agents and configure exactly which tools from which MCP servers each agent can access. Ideally, users should be able to accomplish this by creating a new Kubernetes Custom Resource (CR)

Goals

Connect the MCP server from https://hackweek.opensuse.org/projects/suse-observability-mcp-server

Resources

https://docs.langchain.com/oss/python/langchain/multi-agent

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This project is part of:

Hack Week 25

Activity

  • 21 days ago: rcabello joined this project.
  • 28 days ago: rosblendido left this project.
  • 28 days ago: mbologna liked this project.
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  • 2 months ago: drutigliano liked this project.
  • 2 months ago: jgouin joined this project.
  • 2 months ago: rosblendido started this project.
  • 2 months ago: rcabello originated this project.


    • Comments

    • drutigliano
      2 months ago by drutigliano | Reply

      Some projects that may be worth having a look: LLaMA-Factory, Unsloth and their LLM fine-tuning guide

    • rcabello
      30 days ago by rcabello | Reply

      more info in slack -> #hackweek-rancher-ai-multi-agent

    • rcabello
      21 days ago by rcabello | Reply

      Results

      We added multi-agent support to the Rancher AI Assistant. In the demo, the Rancher AI Assistant includes three sub-agents:

      • SUSE Observability Agent: connected to the MCP developed in this project https://hackweek.opensuse.org/projects/suse-observability-mcp-server

      • SUSE Security Agent: connected to the SUSE Security MCP

      • MLM Agent: connected to the MLM MCP

      Source code -> https://github.com/rancher-sandbox/rancher-ai-agent/tree/multiagent

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