{
 "schema_version": 1,
 "generated": "2026-10-31",
 "repo": "Mesh-LLM/mesh-llm",
 "name": "mesh-llm",
 "owner": "Mesh-LLM",
 "slug": "mesh-llm-mesh-llm",
 "github": "https://github.com/Mesh-LLM/mesh-llm",
 "what": "Mesh LLM pools GPUs and memory across machines and exposes them as one OpenAI-compatible API at localhost:9337/v1. You start one node, add more later, and the mesh decides whether a model runs locally, routes to a peer, or is split across machines in layer stages. Traffic between nodes is end-to-end encrypted over QUIC.",
 "why": "3.6k stars, talked about in 3 AI sources we track",
 "language": "Rust",
 "requirements": [
  "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"
 ],
 "audience_note": "Home lab owners and small teams with several computers who want to run models bigger than any one of them can hold.",
 "risk": "none",
 "section": "earlier",
 "weekly_rank": null,
 "category": "Software and DevOps",
 "url": "https://dedupedai.com/use-cases/mesh-llm-mesh-llm/",
 "use_case_count": 3,
 "use_cases": [
  {
   "id": "mesh-llm-mesh-llm--serve-a-local-model-through-an-openai-compatible-api",
   "title": "Run a local model behind an OpenAI-compatible API in one command",
   "best": true,
   "url": "https://dedupedai.com/use-cases/mesh-llm-mesh-llm/serve-a-local-model-through-an-openai-compatible-api/",
   "json": "https://dedupedai.com/use-cases/u/mesh-llm-mesh-llm/serve-a-local-model-through-an-openai-compatible-api.json"
  },
  {
   "id": "mesh-llm-mesh-llm--pool-two-home-machines-into-a-private-mesh",
   "title": "Pool two home machines into a private model mesh",
   "best": false,
   "url": "https://dedupedai.com/use-cases/mesh-llm-mesh-llm/pool-two-home-machines-into-a-private-mesh/",
   "json": "https://dedupedai.com/use-cases/u/mesh-llm-mesh-llm/pool-two-home-machines-into-a-private-mesh.json"
  },
  {
   "id": "mesh-llm-mesh-llm--point-claude-code-or-opencode-at-your-mesh",
   "title": "Run Goose, OpenCode, Claude Code or Pi against your own mesh",
   "best": false,
   "url": "https://dedupedai.com/use-cases/mesh-llm-mesh-llm/point-claude-code-or-opencode-at-your-mesh/",
   "json": "https://dedupedai.com/use-cases/u/mesh-llm-mesh-llm/point-claude-code-or-opencode-at-your-mesh.json"
  }
 ],
 "disclaimer": "Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk."
}