Mesh LLM
Dezentrale KI/LLM für alle. Teile deine Rechenleistung privat oder öffentlich, um deine Agenten und Chats zu betreiben.
Überblick
Anforderungen
Empfohlener VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate-Hinweis
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
mesh-llm:
image: ghcr.io/mesh-llm/mesh-llm:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/mesh-llm:/data
Verwandte Tools
NextChat
Cross-platform ChatGPT web UI with multi-model support for Ollama, Claude, Gemini, and more
Lobe Chat
Extensible, open-source ChatGPT alternative with plugins, knowledge base, and multi-LLM support
Open WebUI
User-friendly WebUI for LLMs (Ollama, OpenAI API)
text-generation-webui
Run local LLMs with a powerful web interface — text, vision, tool-calling, and OpenAI-compatible API
Streamlit
Build and share data apps in pure Python — fast
Gradio
Build and share delightful machine learning apps in Python
Anleitungen & Artikel
How to Deploy Mesh LLM with Docker: A Step-by-Step Tutorial
Deploy your own Mesh LLM node with Docker Compose, connect it to the public mesh or keep it private, and start sharing compute with your agents. Step-by-step with commands.
Mesh LLM: A Complete Guide to Distributed Self-Hosted AI
Mesh LLM turns your hardware into a private or public AI mesh. Here is how distributed inference works, what the Rust-based platform offers, and why it matters for self-hosters.