Where On-Device and Cloud LLMs Meet
@shirokatsuya
Basic information
About Where On-Device and Cloud LLMs Meet
Overview
What is Where On-Device and Cloud LLMs Meet?
Where On-Device and Cloud LLMs Meet is a communication protocol (named Minions) that enables small on-device language models to collaborate with frontier cloud models. It is a Python package tested on Mac and Ubuntu with Python 3.10–3.11, aimed at developers and researchers looking to reduce cloud costs by processing long contexts locally.
How to use Where On-Device and Cloud LLMs Meet?
Clone the repository, install the Python package (pip install -e .), then install a local model server (Ollama or Tokasaurus) and set an API key for at least one cloud LLM provider (OpenAI or TogetherAI). Use the provided Streamlit demo app (streamlit run app.py), the CLI (minions --context <path>), or write Python code using the Minion/Minions classes.
Key features of Where On-Device and Cloud LLMs Meet
- Collaborates on-device and cloud LLMs to reduce costs
- Reads long contexts locally, sends short messages to cloud
- Supports Ollama and Tokasaurus for local models
- Supports OpenAI and TogetherAI for cloud models
- Provides Minion (single)
More Agent Frameworks MCP clients
MCP Agent Graph (MAG)
keta1930MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems.

CreceRank | Mejor herramienta GEO en Español
CreceRank | Mejor herramienta GEO en EspañolCreceRank es la mejor herramienta GEO en Español. Puedes usar su MCP con esta url: https://crecerank.onrender.com/mcp
DISCLAIMER
mario-andreschakMCP-Hub and -Inspector, Multi-Model Workflow and Chat Interface
Evo AI - AI Agents Platform
evolutionapiEvo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
Comments