Lobstah Net, a grid plugin for p2p inference
Summary
Lobstah Net is a new ClawHub plugin that enables peer-to-peer federated inference by routing LLM calls to a network of idle Mac minis running local models like Qwen via Ollama. It provides an OpenAI-compatible interface for OpenClaw agents and uses Nostr for secure receipt gossiping.
Similar Articles
lobehub/lobehub
LobeHub is an open-source AI agent collaboration platform that enables users to find, build, and collaborate with agent teammates, featuring MCP plugin support, multi-model providers, and local/remote deployment options.
Show HN: Lumabri – Run Moe Models on a P2P Swarm with Colibri
Lumabri lets users run huge mixture-of-experts models on a P2P swarm using the Colibri engine, allowing any machine to join and chat without downloading the full model up front. It is pure C, dependency-free, and works on CPU first with optional GPU acceleration.
Mesh LLM: distributed AI computing on iroh
Mesh LLM is a distributed AI computing platform that pools idle GPUs across multiple machines to run large language models, exposing a single OpenAI-compatible API. It leverages iroh's peer-to-peer networking to enable private, decentralized inference without a central server.
Remote OpenClaw
Remote OpenClaw offers over 13,000 MCP servers, skills, and plugins for AI coding agents.
Macs for Local LLM and Openclaw - What I wish I had known.....
A user shares their experience running local LLMs on Mac, noting that prompt processing is slow for AI agents compared to Nvidia GPUs, and recommends cloud models like Deepseek unless privacy is a concern.