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How to run Goose, OpenCode, Claude Code or Pi against your own mesh with Mesh LLM

Use Mesh LLM's agent launchers so coding agents run on models served by your own machines.

Short answer: Start a node with mesh-llm serve --auto or your private mesh; then launch the agent through the mesh with mesh-llm opencode, mesh-llm goose, mesh-llm claude or mesh-llm pi; pick a model the mesh serves and give the agent a small task first. All steps.

Who it is forA developer who wants a coding agent backed by local or pooled models instead of a paid API.

The problemWiring a coding agent to a self-hosted model means finding the right base URL, model name and flags.

The outcomeYour chosen coding agent talking to the mesh's OpenAI-compatible API.

What you need first

  • macOS, Linux or Windows (install script, PowerShell or Homebrew on Apple Silicon)
  • One or more machines with a GPU or enough memory for the model
  • curl and jq for the README's test requests

Steps

  1. Start a node with mesh-llm serve --auto or your private mesh
  2. Launch the agent through the mesh with mesh-llm opencode, mesh-llm goose, mesh-llm claude or mesh-llm pi
  3. Pick a model the mesh serves and give the agent a small task first
  4. Read the AGENTS guide in the repo for per agent settings

Prompt for your agent

Start Mesh-LLM/mesh-llm and launch <OpenCode or Goose or Claude Code or Pi> through it, choose the best model the mesh serves for coding, and run a small test task in <repo>.

Caveat. This card is written from the Mesh-LLM/mesh-llm README, not from a test run by Deduped. Before you start, make sure you have macOS, Linux or Windows. Check the repo for newer instructions before you rely on these steps.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for Mesh-LLM/mesh-llm and "Run Goose, OpenCode, Claude Code or Pi against your own mesh"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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