Open-source AI tools for Linux help users run AI models locally, build machine learning applications and automate tasks. These tools support use cases such as AI chat, coding assistance, document analysis and model development.
1. Ollama
Ollama is an open-source tool for running large language models (LLMs) locally on Linux.
- Supports downloading and running compatible models for text generation, coding, summarization and question answering.
- Provides a command-line interface and a local API for integrating AI models into applications.
- It supports CPU and GPU execution depending on the model and available hardware.
2. llama.cpp
llama.cpp is a lightweight C/C++ inference engine for running compatible language models on Linux.
- Supports CPU and GPU inference with hardware-specific optimizations.
- Supports quantized models to reduce memory requirements and run models on resource-constrained systems.
- Provides command-line tools and an API server for integrating local models into applications.
3. LocalAI
LocalAI is an open-source inference server that allows users to run compatible AI models on their own hardware.
- Provides OpenAI-compatible API endpoints for integrating local AI models into existing applications.
- Supports multiple AI tasks including text generation, embeddings, image generation and audio processing through compatible backends.
- Can run on Linux systems ranging from CPU-based machines to GPU servers depending on the configured models and backends.
4. Open WebUI
Open WebUI is a self-hosted web interface for interacting with AI models through a browser on Linux.
- Connects to Ollama and other compatible model providers to support conversational AI.
- Provides document uploads and retrieval-augmented generation (RAG) features for asking questions about documents.
- Supports conversation management and customizable workflows for personal or team use.
5. AnythingLLM
AnythingLLM is an open-source AI application for chatting with documents and building knowledge-based AI workflows.
- Supports document-based question answering using PDFs, Markdown files and other supported sources.
- Connects to compatible local and cloud model providers for AI conversations and RAG workflows.
- Offers desktop and self-hosted deployment options for organizing documents and conversations into workspaces.
Other Tools
- Continue: An open-source AI coding assistant that helps developers with code completion, code generation, explanations and refactoring in supported editors.
- PyTorch: An open-source machine learning framework for building, training and deploying deep learning models.
- Hugging Face Transformers: A Python library for using pretrained language, vision, audio and multimodal models in AI applications.
- scikit-learn: A Python machine learning library for classification, regression, clustering and data preprocessing.
- MLflow: An open-source platform for tracking machine learning experiments, evaluating models and managing the ML lifecycle.
- GPT4All: A desktop application for downloading and running compatible language models locally and chatting with them on supported Linux systems.
