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.
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