Large Language Model (LLM) Tools Page 2 of 15

Mellum-4b-base is JetBrains' first open-source large language model (LLM) optimized for code-related tasks.

An Open Source AI Agent (think Claude CoWork) that help you to automates engineering tasks seamlessly with local execution, customization, and autonomy, empowering developers with an extensible open-source platform.

A modern and easy-to-use client for Ollama.

An app that brings language models directly to your phone.

Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac, and Linux.

The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who...

As part of Meta’s commitment to open science, today we are publicly releasing Llama (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

Transforms thoughts into actions with personalized travel itineraries, stock analysis, and educational content while autonomously completing tasks.

Public platform for evaluating large language models using anonymous pairwise comparisons, crowd-sourced voting, real-time result updates, and global performance tracking.

Open-source AI powered answer engine.

Self-hosted AI interface enabling chat, autonomous agents, tool integration, email, and research with local data privacy—no telemetry or remote servers.

Z.ai is an AI-powered conversational platform developed by Zhipu AI, designed to provide intelligent, natural, and context-aware interactions. It leverages Zhipu’s advanced large language models (GLM series) to support tasks such as answering questions, generating content...

A family of lightweight, state-of-the art open models built from the same research and technology that we used to create the Gemini models.

Built with Meta Meta Llama, Meta AI is one of the world’s leading AI assistants, already on your phone, in your pocket for free. And it’s starting to go global with more features. You can use Meta AI on .

Open-source platform supporting local and cloud AI chat, semantic search, document retrieval, and image generation across multiple devices and data sources.

Verified open-source AI artifact registry with license checks, source provenance, community trust signals, torrents, hosted mirrors, semantic search, and curated categories.

Mistral AI Studio is an enterprise platform for building, evaluating, and running AI applications in production. It combines model access with operational tooling so teams can design use cases, observe real usage, and deploy with privacy, security, and full data ownership across...

Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely.

Access on-device Apple LLM through a local command-line interface on Macs with Apple Silicon, supports function calls, OpenAI-compatible server, no cloud or keys.

Terminal-native open-source AI coding assistant supporting Mac, Windows, Linux, BSD, with cross-session memory, Git integration, and major LLM API compatibility.

Fully open-source Android LLM client enabling direct, private multi-provider AI access, agentic workflows, encrypted remote control, non-linear branching, and on-device inference.

Autoregressive models that unify multimodal tasks, surpassing specialized models with visual path decoupling, autoregressive integration, and flexible design.

Leo is an AI-powered intelligent assistant, built right into the browser. Leo can answer questions, help accomplish tasks, and more.

OpenRouter is an AI model aggregator service that provides developers and users access to a wide range of large language models and generative 3D object models through a unified API. It allows users to interact with various AI models, including those from major providers like...

The simplest way to use private LLMs: Works fully offline and private when you don’t have internet. Runs models on-device optimized for Apple silicon.