ManyLLM
Run many local models. In one simple workspace.
Listed in categories:
Artificial IntelligenceDeveloper ToolsGitHub
Description
ManyLLM is a versatile platform designed for running multiple local AI models in a single workspace, prioritizing user privacy and ease of use. It offers a unified chat interface and supports local retrieval-augmented generation (RAG) capabilities, making it ideal for developers, researchers, and privacy-conscious teams.
How to use ManyLLM?
To use ManyLLM, simply pick a model from the available local options, start chatting through the unified interface, and add files for context by dragging and dropping them into the workspace.
Core features of ManyLLM:
1️⃣
Run many local models
2️⃣
Unified chat interface
3️⃣
Local-first privacy
4️⃣
OpenAI-compatible API
5️⃣
Zero cloud by default
Why could be used ManyLLM?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Developers building AI applications | ✅ | |
| # 2 | Researchers experimenting with local models | ✅ | |
| # 3 | Privacy-conscious teams managing sensitive data | ✅ | |
Who developed ManyLLM?
ManyLLM is developed by a community-focused team dedicated to providing local-first AI tools that prioritize user privacy and flexibility.