Multi-agent AI assistant for Linux troubleshooting
an invention by doreilly
Updated about 1 month ago. 4 hacker ♥️. 1 follower.

Description

Explore multi-agent architecture as a way to avoid MCP context rot.

Having one agent with many tools bloats the context with low-level details about tool descriptions, parameter schemas etc which hurts LLM performance. Instead have many specialised agents, each with just the tools it needs for its role. A top level supervisor agent takes the user prompt and delegates to appropriate sub-agents.

Goals

Create an AI assistant with some sub-agents that are specialists at troubleshooting Linux subsystems, e.g. systemd, selinux, firewalld etc. The agents can get information from the system by implementing their own tools with simple function calls, or use tools from MCP servers, e.g. a systemd-agent can use tools from systemd-mcp.

Example prompts/responses:

user$ the system seems slow
assistant$ process foo with pid 12345 is using 1000% cpu ...

user$ I can't connect to the apache webserver
assistant$ the firewall is blocking http ... you can open the port with firewall-cmd --add-port ...

Resources

Language Python. The Python ADK is more mature than Golang.

https://google.github.io/adk-docs/

https://github.com/djoreilly/linux-helper

Looking for hackers with the skills:

ai mcp

This project is part of:

Hack Week 25

Activity

  • about 1 month ago: j_renner liked this project.
  • about 2 months ago: rsimai liked this project.
  • about 2 months ago: barendartchuk liked this project.
  • about 2 months ago: doreilly added keyword "mcp" to this project.
  • about 2 months ago: doreilly added keyword "ai" to this project.
  • about 2 months ago: hsharma liked this project.
  • about 2 months ago: doreilly started this project.
  • about 2 months ago: doreilly originated this project.


    • Comments

    • rtsvetkov
      about 1 month ago by rtsvetkov | Reply

      Hi, I work on a similar smaller project. Perhaps it will be interesting to incorporate it in your approach.

      It doesn't give direct recommendation, but evaluates which aspect of the problem (in my case bug) is critical for a decision - recommends the question critical for the decision. GenAI-Powered Systemic Bug Evaluation and Management Assistant So, which information piece is missing for a potential decision. It leaves for the admin/developer to provide the info.

      add-emoji

    • doreilly
      about 1 month ago by doreilly | Reply

      @rtsvetkov that's very interesting - I'll look into it.

    • doreilly
      about 1 month ago by doreilly | Reply

      The project as a POC is completed. Two sub-agents were created: one for general health and one for apache.

      It takes the trajectory as expected, e.g. ask a question about apache and it will directly invoke the apache sub-agent and not invoke the general health sub-agent. So in theory this could scale out to many specialist sub-agents, and each session would only invoke the relevant ones.

      Testing with gemini-2.0-flash and it's quite fast and reliable.

      Tested ollama:qwen3:30b, and it worked but very slow. using-ollama_chat-provider

      The ADK also supports evaluation. Not sure if it's possible to mock the tool call results.

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