Tools, frameworks, and models for local AI
4 resources found for "Llama"
GTK4/libadwaita app for GNOME to chat with local models via Ollama, in Rust under GPLv3: it handles Ollama setup, models, and loading local documents and images.
The runtimes that run local models on your hardware: Ollama for simplicity, llama.cpp for portability, vLLM for production throughput. The engines in the catalog are the child resources.
Full ChatGPT-style web interface for Ollama and llama.cpp: multi-user accounts, organized conversations, document management for RAG, per-model system prompts, tools and plugins. Version 0.11.4 (September 2026) makes file metadata travel with the retrieved chunks and runs hybrid search natively in the database: large knowledge bases are much faster. The simplest way to turn your local AI into an everyday product.
A zero-dependency Python tool that recognizes and summarizes every file with a local LLM (Ollama, LM Studio or MLX-LM), fully offline. Detects type by content, extracts structure (CSV, email, scripts, logs) and reports files carrying instructions to the assistant. Works without a model (--no-llm). MIT license.
