Large Language Model (LLM) Tools Page 3 of 16

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

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.

AI assistant with hybrid-attention reasoning, multi-step task handling, lightning chat, deep research, multimodal generation, privacy and cross-platform sync.

xPrivo is a free, open-source, private AI chat assistant that focuses entirely on keeping you anonymous while helping tackle your most complex questions.

The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.

Minimal, clean full-stack LLM chatbot, running tokenization, pretraining, finetuning, evaluation, inference, and web UI on a single 8xH100 node.

The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.

Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a...

Open R1 is a community-driven, open-source initiative aimed at replicating the advanced AI capabilities of DeepSeek-R1 through transparent methodologies.

Kolibri is Aleph Alpha's mixture-of-experts (MoE) reasoning model, with a focus on German and English. The model supports an explicit reasoning mode and tool calling. It is optimized for long-context and inference efficiency.

Customizable client for chatting with local private models, open source AIs, and remote LLMs via OpenRouter or custom backend, enabling private, secure AI access.

LlamaGPT is a chatbot that provides a ChatGPT-like experience, with no data leaving your device.

MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gemini Deep Research.

Customizable virtual assistant with voice chat, web search, document interaction, file management, extension support, and flexible AI model options.

Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.

🐈 nanobot is an ultra-lightweight personal AI assistant inspired by OpenClaw

Visual programming environment for building, debugging, and deploying LLM agent workflows with real-time collaboration, YAML-based version control, and TypeScript integration.

Moshi is an innovative AI chatbot with advanced voice recognition, real-time interaction, and dual audio streams, setting up a new standard for voice-based chatbots.

NanoGPT is a platform that gives you access to many AI models through one pay-as-you-go interface, so you don’t have to manage multiple subscriptions or provider accounts. It also offers privacy-conscious and crypto-friendly payment options.

Empowering LLM researchers and hobbyists with seamless control over self-hosted models. Connect remotely, customize prompts, manage chats, and fine-tune configurations. All in one intuitive app.

OptiQ is an MLX-native toolkit for running large language models on Apple Silicon. No PyTorch, no CUDA, no cloud.

Clef is a 27B multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question in a single forward pass.

Mocolamma is an Ollama management application for macOS and iOS / iPadOS that connects to Ollama servers to manage models and perform chat tests using models stored on the Ollama server.

Harness Google's knowledge, voice recognition, and AI art creation in conversations with a chatbot rich in real-time information, versatile sharing, and API connectivity.