Hollama is a minimal, browser-based chat application designed for interacting with Large Language Models (LLMs) served via Ollama or OpenAI APIs. It targets users who want a lightweight, client-side interface for LLM experimentation and deployment, offering features like multi-server support, markdown rendering, and local data storage.

How It Works

Hollama is built as a client-side web application, meaning all processing and data storage occur within the user's browser. This architecture eliminates the need for a backend server for the chat interface itself, simplifying deployment and enhancing privacy. It leverages standard web technologies to communicate with Ollama or OpenAI endpoints.

Quick Start & Requirements

• Install: Download pre-built binaries for macOS, Windows, and Linux, or self-host using Docker.
• Prerequisites: Ollama or an OpenAI-compatible API endpoint.
• Demo: https://hollama.dev/
• Downloads: https://hollama.dev/

Highlighted Details

• Supports both Ollama and OpenAI API endpoints.
• Features multi-server management for diverse LLM access.
• Includes advanced UI features like markdown rendering with syntax highlighting, KaTeX support, and code editor functionalities.
• Offers local data storage, customizable system prompts, and message editing/retrying.

Maintenance & Community

• Contribute: https://github.com/fmaclen/hollama/blob/main/CONTRIBUTING.md

Licensing & Compatibility

• License: MIT License. Permissive for commercial use and integration with closed-source applications.

Limitations & Caveats

The application is primarily client-side, meaning complex LLM operations or large model interactions might be constrained by browser performance and local machine resources.