Products

Tinker is a managed API from Thinking Machines Lab, announced on 1 October 2025, for fine-tuning language models while users choose the algorithms and data.

Large language modelsOpen sourceDeveloper tools

OpenAI's open-source toolkit for building multi-agent applications, released in March 2025 with configurable agents, handoffs, guardrails and tracing; it succeeds the experimental Swarm SDK and works with OpenAI and third-party models.

Large language modelsOpen sourceAgents & tool use

Cline is an open-source autonomous coding agent that runs as a VS Code extension, a CLI assistant and an SDK. Created in 2024 and operated by Cline Bot Inc., its extension has been installed by more than 11 million developers.

Open sourceAgents & tool useDeveloper tools

SGLang is an open-source system for running complex language model programs: a frontend language plus a runtime that reuses cached attention state and speeds up structured output, reporting up to 6.4x higher throughput than prior inference systems.

Large language modelsOpen sourceDeveloper tools

MLX is an open-source machine learning framework from Apple's machine learning research team, released in December 2023 and built primarily for Apple silicon. Its NumPy-like Python API and unified-memory design let the CPU and GPU work on the same data.

Open sourceDeep learningHardware & compute

CrewAI is an open-source Python framework for building groups of collaborating AI agents, created by João Moura in late 2023 and backed by $18 million in funding.

Large language modelsOpen sourceAgents & tool use

DSPy is a programming model that represents language-model pipelines as graphs of declarative modules and uses a compiler to optimize them against a chosen metric.

Large language modelsOpen sourceAgents & tool use

AutoGen is a Microsoft framework for building AI agents and applications, in which customizable, conversable agents combine large language models, human input and tools. It was introduced in an arXiv paper submitted on 16 August 2023.

Large language modelsOpen sourceAgents & tool use

GGUF is a binary file format introduced in 2023 by the llama.cpp project that packs model tensors and metadata into a single file, and is widely used for distributing quantized language models for local inference.

Large language modelsOpen sourceDeveloper tools

Ollama is an open-source tool written in Go that lets people pull and run large language models locally on macOS, Linux and Windows, from a command line interface or a local REST API.

Large language modelsOpen sourceDeveloper tools

Vercel's AI SDK is a TypeScript toolkit that gives developers one interface for many AI model providers, framework-agnostic hooks for chat interfaces, and a uniform way to run agent harnesses.

Large language modelsOpen sourceDeveloper tools

Aider is an open-source AI pair programming tool that runs in the terminal, maps an entire codebase, edits code with cloud or local language models and commits every change to git automatically.

Open sourceAgents & tool useDeveloper tools

HuggingChat is a free chatbot launched by Hugging Face on 25 April 2023 as an open-source alternative to ChatGPT. It initially ran the volunteer Open Assistant model and let users switch among open models.

Large language modelsOpen sourceConsumer apps

An open-source autonomous agent released in March 2023 that uses OpenAI's large language models, such as GPT-4, to break a user's goal into sub-tasks and carry them out with tools like web browsing.

Large language modelsOpen sourceAgents & tool use

llama.cpp is an open-source inference engine written in C/C++ that runs large language models on consumer hardware. Created by Georgi Gerganov in March 2023, it helped make local model inference common and popularized the GGUF model file format.

Large language modelsOpen sourceDeveloper tools

vLLM is an open-source serving system for large language models, built on PagedAttention, which manages the KV cache the way an operating system manages virtual memory. It reports 2-4x higher throughput than earlier serving systems at the same latency.

Large language modelsOpen sourceDeveloper tools

A public Hugging Face leaderboard that ran a fixed set of benchmarks on open language models in one identical setup, from 2023 to 2025, so their scores could be reproduced and compared.

Large language modelsResearch historyOpen source

An open-source AI model community launched by Alibaba's DAMO Academy with partners in 2022, hosting hundreds of ready-to-use models and promoting "Model-as-a-Service".

Open sourceChinaData & datasets

LlamaIndex is an open-source Python library for building retrieval-augmented generation applications and AI agents on top of large language models. It began in late 2022 as one engineer's small indexing utility, GPT Tree Index.

Large language modelsOpen sourceAgents & tool use

An open-source framework released in October 2022 that lets developers connect large language models to data, APIs and other tools by composing them into chains and agents.

Large language modelsOpen sourceAgents & tool use

Triton is OpenAI's open-source, Python-like language and compiler for writing GPU kernels. It lets researchers with no CUDA experience produce efficient GPU code, often close to what an expert would write.

Open sourceDeep learningHardware & compute

MindSpore is Huawei's open-source AI computing framework, announced in March 2020, built to run across device, edge and cloud, co-optimized with Huawei's Ascend processors and shipped with tools for training visualization and model security.

Open sourceDeep learningDeveloper tools

The Hugging Face Hub is the platform where people share machine-learning models, datasets and demo apps. By September 2026 it had more than 3 million models and 18 million users.

Open sourceFoundation modelsData & datasets

A free, open catalogue that links machine learning papers to their code and maintains benchmark leaderboards tracking the state of the art; built by Atlas ML, majority-owned by Facebook from December 2019, and relaunched as paperswithcode.co by Hugging Face in 2026.

Research historyOpen sourceData & datasets

ONNX is an open format for representing machine learning models, announced by Microsoft and Facebook in September 2017 so that developers can move models between frameworks instead of converting them between incompatible formats.

Open sourceDeep learningDeveloper tools

PyTorch is an open-source deep-learning framework released by Meta in 2017, now governed by the PyTorch Foundation under the Linux Foundation. It is used both for research and for training and running large models in production.

Research historyOpen sourceDeep learning

A software platform OpenAI released in December 2016 for measuring and training an AI's general intelligence across games, websites and other applications, shipping 1,000 environments built on Gym.

Open sourceAgents & tool useDeveloper tools

PaddlePaddle (飞桨) is Baidu's open-source deep learning framework, released in September 2016 out of an internal platform begun in 2013; at launch it was described as China's first open-source deep learning platform.

Open sourceDeep learningDeveloper tools

OpenAI Gym, announced as a beta in April 2016, is a toolkit for developing and comparing reinforcement learning algorithms: a growing suite of environments, from classic control tasks to Atari games and simulated robots, plus a website for comparing and reproducing results.

Research historyOpen sourceDeveloper tools

Apache MXNet is an open-source deep learning library that offers both symbolic and imperative programming, runs from mobile devices to GPU clusters, and ships bindings for eight languages. Its paper was posted in December 2015 by Tianqi Chen, Mu Li and colleagues.

Open sourceDeep learningDeveloper tools

TensorFlow is Google's second-generation machine learning system, released as an open-source library under the Apache 2.0 license on 9 November 2015, succeeding the earlier DistBelief system.

Research historyOpen sourceDeep learning

Keras is a deep learning API written in Python that runs on top of JAX, TensorFlow or PyTorch. Since 2015 it has offered a high-level way to define, train and export neural networks without tying a project to one framework.

Open sourceDeep learningDeveloper tools

Caffe is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying convolutional neural networks, described in a 2014 paper by Yangqing Jia and colleagues.

Open sourceDeep learningDeveloper tools

An open-source Python library for statistical learning, begun in 2007, first released publicly on 1 February 2010 by a team at Inria, and now one of the most popular machine learning programs on GitHub.

Research historyOpen sourceData & datasets

Common Crawl is a nonprofit that has archived the public web since 2007 and gives its petabyte-scale datasets away for free. Its corpus became a core source of training data for large language models.

Research historyOpen sourceData & datasets

Theano is a Python library and optimizing compiler for mathematical expressions, especially matrix-valued ones, developed at the Montreal Institute for Learning Algorithms. Released in 2007, it combined symbolic differentiation, GPU execution and C code generation for numerically heavy research and teaching.

Research historyOpen sourceDeep learning

Apache Hadoop is an open-source framework for distributed storage and processing of big data, with the Hadoop Distributed File System for storage and MapReduce for processing; it grew out of the Nutch web-search project and was first released in 2006.

Open sourceProduct historyData & datasets

Torch is a scientific computing framework for machine learning built on the LuaJIT scripting language with a C/CUDA core, designed to put GPUs first and surrounded by a large ecosystem of community packages.

Research historyOpen sourceDeep learning

C4.5 is a machine learning system that builds decision trees or if-then rules from cases with known classes. J. Ross Quinlan's 1993 book documents its C/UNIX implementation, source code, and use.

Research historyOpen sourceProduct history

The UCI Letter Recognition dataset is an archive of 20,000 distorted capital-letter images, each reduced to 16 integer attributes, used to benchmark classification algorithms on a 26-class recognition task.

Research historyOpen sourceData & datasets

Agent Development Kit (ADK) is an open-source, code-first Python framework for building, evaluating and deploying AI agents, built around a graph-based workflow runtime, and ported to several other languages.

Open sourceAgents & tool useDeveloper tools

Coze Studio is an open-source, Apache-2.0 visual tool from the coze-dev GitHub organisation for building AI agents, apps and workflows, written in Go and React, deployable with Docker Compose, and connectable through an OpenAPI and a Chat SDK.

Open sourceChinaAgents & tool use

Dify is an open-source platform for building LLM applications, combining an AI workflow editor, a RAG pipeline, agent capabilities and model management in one interface, with managed cloud, VPC and self-hosted deployment options.

Open sourceEnterpriseAgents & tool use

LangGraph is LangChain's agent runtime and low-level orchestration framework for building agents, with built-in memory, token streaming and human approval. Its 1.0 release, which LangChain called the first stable major release in the durable agent framework space, arrived in October 2025.

Open sourceAgents & tool useDeveloper tools

JAX is a Python library for accelerator-oriented array computation and program transformation, aimed at high-performance numerical computing and large-scale machine learning. It pairs a NumPy-style API with composable transformations for compilation, batching, differentiation and parallelization.

Research historyOpen sourceDeep learning

Soccer Server is a software simulator of soccer, begun by Itsuki Noda as a platform for multi-agent systems research, which later became the official soccer server of RoboCup.

Research historyOpen sourceRobotics

Transformers is an open-source Python library that offers pretrained Transformer models through one unified API. Its paper was posted to arXiv on 9 October 2019, and the first v5 release candidate came in December 2025.

Large language modelsOpen sourceDeep learning