Open Source AI Models
231 tools
231 tools · page 9 of 10
Chatbot UI is an open-source chat interface that developers can self-host and connect to various language model APIs, aimed at teams who want control over their own ChatGPT-style front end.
Chroma is a simple, Python-first open-source vector database aimed at developers prototyping AI applications before scaling to a larger managed solution.
ClearML provides tools for tracking experiments, orchestrating pipelines, and managing datasets across the machine learning lifecycle, with both open-source and managed hosting options.
DeepSeek develops open-weight language models known for strong performance relative to their training cost, offered through both a chat app and a developer API.
Dify provides a visual, open-source platform for building and deploying LLM-powered applications and agents, combining prompt orchestration, RAG, and workflow tools in one place.
Fireworks AI hosts optimized, low-latency inference for open-source language and multimodal models, aimed at developers building production apps that need speed at scale.
Haystack, built by deepset, is an open-source Python framework for building search, question-answering, and retrieval-augmented generation pipelines on top of language models.
Hexabot lets teams build multilingual, multi-channel AI chatbots without coding, offered as an open-source platform for businesses wanting more control than closed chatbot builders.
Jan is an open-source desktop app for chatting with local, offline AI models, aimed at users who want a private ChatGPT-style interface without sending data to the cloud.
Langfuse is an open-source platform for tracing, evaluating, and analyzing LLM application behavior, aimed at teams who want self-hostable observability tooling for their AI stack.
LM Studio lets users download and run open-source language models directly on their own computer through a simple desktop interface, without needing cloud API access.
Milvus is an open-source vector database designed to handle billions of embeddings, aimed at large-scale production AI search and recommendation systems.
Mistral AI develops a family of open-weight and commercial language models along with an API platform, positioned as Europe's leading alternative to US-based frontier model providers.
MLflow is an open-source tool for tracking experiments, packaging models, and managing deployment across the machine learning lifecycle, widely used as a free foundation for MLOps.
Ollama packages open-source language models to run locally with a single command, aimed at developers who want to experiment with or build on open models without cloud infrastructure.
OpenHands is an open-source platform for running AI agents that plan, write, and apply code changes autonomously, aimed at teams wanting an open alternative to closed coding agent products.
Free open-source AI voice typing app for macOS Windows and Linux
Papers with Code catalogs machine learning research papers alongside their open-source implementations and benchmark results, aimed at researchers and engineers tracking the state of the art.
Portia AI is an open-source framework for building AI agents that explain their planned actions and share progress as they work, aimed at developers who want more visibility into agent behavior than typical black-box agents.
Predibase provides tools for fine-tuning open-source language models efficiently and serving many fine-tuned models cost-effectively, aimed at teams customizing models for specific tasks.
Qdrant is an open-source vector database written in Rust, built for fast similarity search at scale, aimed at developers who need a self-hostable option for AI retrieval workloads.
Qwen is Alibaba's line of language and multimodal models, available as both open-weight downloads for developers and a hosted chat assistant for consumers.
Replicate hosts thousands of open-source machine learning models that developers can run through a simple API without managing infrastructure, spanning image, video, audio, and text models.