Lobstah Net, a grid plugin for p2p inference

Reddit r/openclaw Tools

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.

Just published https://clawhub.ai/plugins/@lobstah/openclaw-provider to ClawHub. Wanted to share what it does and how it fits into a typical OpenClaw setup. **What it is:** A grid-like system for federated inference. Let your idle mac mini contribute compute for the grid and in return, ask for compute for your agents when you need it. A drop-in model provider for OpenClaw that routes your agent's LLM calls to a network of peer Mac minis instead of an API. Each peer runs Ollama/Qwen/etc locally; you get the same OpenAI-compatible interface OpenClaw expects. **Install:** openclaw plugins install clawhub:lobstah-openclaw-provider Your local Ollama/Qwen model becomes a peer. Other agents' requests start landing on your machine when they ask for models you've pulled. Receipts get signed and gossiped via Nostr so the whole network can see who served whom. Eve though plugin passed ClawHub security scanner, any feedback is welcome to improve particularly on the security side, I know similar systems were used in the past for bot attacks, but this can be useful for long-running jobs in limited resources.
Original Article

Similar Articles

lobehub/lobehub

GitHub Trending (daily)

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

Hacker News Top

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

Hacker News Top

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

Product Hunt

Remote OpenClaw offers over 13,000 MCP servers, skills, and plugins for AI coding agents.