Developer tools
| John McCarthy John McCarthy (1927–2011) was an American computer scientist. His 1955 proposal is credited with coining the term “artificial intelligence”, he organised the 1956 Dartmouth workshop, and he created the LISP programming language. | |
| Lisp Lisp is a programming language invented by John McCarthy at MIT in 1958, whose programs are themselves lists. It became the favoured language of early artificial intelligence research and introduced automatic garbage collection. | |
| Microsoft Microsoft is an American technology company founded in 1975 and headquartered in Redmond, Washington. Its AI work combines a partnership with OpenAI, the Copilot products and its own in-house MAI and Phi models. | |
| NVIDIA NVIDIA is the company that created the GPU in 1999 and, through the CUDA architecture and the chips behind AlexNet, became a central supplier of computing power for modern AI. | |
| Understanding the difficulty of training deep feedforward neural networks A 2010 paper by Xavier Glorot and Yoshua Bengio on why deep feedforward networks are hard to train: sigmoid saturation under random initialization and layer Jacobians whose singular values sit far from 1, plus a new initialization scheme that converges substantially faster. | |
| Meta AI Meta AI is the AI research and model-building organisation of Meta Platforms. Founded in late 2013 as Facebook AI Research, it produced PyTorch and the Llama and Muse model families, and it is separate from the Meta AI assistant product. | |
| TensorFlow 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. | |
| PyTorch 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. | |
| LoRA: Low-Rank Adaptation of Large Language Models LoRA is a fine-tuning method that freezes a pre-trained model's weights and trains small low-rank matrices injected into each layer, cutting trainable parameters and memory by orders of magnitude. | |
| FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness FlashAttention is an exact attention algorithm built around GPU memory traffic: by tiling computation so intermediates stay on chip, it cuts reads and writes to high bandwidth memory, training Transformers faster and enabling longer sequences. | |
| LangChain 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. | |
| vLLM 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. | |
| llama.cpp 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. | |
| Function calling (tool calling) Function calling, now also called tool calling, lets an application describe external functions to a model, which then decides whether to emit JSON arguments for one of them — the route by which models reach data and actions outside their training data. | |
| Devin Devin is an AI software engineer built by Cognition and announced on 12 March 2024. It plans and carries out engineering tasks using a shell, a code editor and a browser inside a sandboxed environment. | |
| Cognition Cognition is the company behind Devin, introduced in March 2024 as the first autonomous software engineer, and the publisher of the FrontierCode benchmark, which judges AI-written code by whether a maintainer would merge it. | |
| Model Context Protocol The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives. Anthropic open-sourced it on 25 November 2024 and later donated it to the Agentic AI Foundation. | |
| Claude Code Claude Code is Anthropic's agentic coding tool. It was announced on 24 February 2025 as a research preview that works in the terminal, and it now runs in many places, from the terminal and IDEs to the web and Slack. | |
| Codex (OpenAI coding agent) Codex is OpenAI's software-engineering agent. It started in 2025 as an open-source terminal tool and a cloud agent inside ChatGPT, and later grew into a desktop app with millions of weekly users. | |
| Cursor Cursor is an AI code editor made by Anysphere, Inc. that lets programmers work alongside AI agents; it grew from a small Series A to a product used across the Fortune 500 and was acquired by SpaceX in 2026. | |
| JAX 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. | |
| Fortran Fortran is a programming language for numerical and scientific computing, developed from 1954 and released by IBM in 1957. Its compiler showed that automatically translated code could run nearly as fast as hand-written machine code. | |
| Torch 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. | |
| MapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat's 2004 OSDI paper presents MapReduce, a programming model in which users write a map function and a reduce function while the run-time system parallelizes the work across large clusters of commodity machines. | |
| Connectionist Temporal Classification Connectionist temporal classification (CTC) is a method for training recurrent neural networks to label unsegmented sequences, such as speech or handwriting, without frame-by-frame alignment. Introduced in 2006, it let CTC-trained LSTMs win the first international contests for recurrent networks. | |
| Theano 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. | |
| scikit-learn 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. | |
| Xavier (Glorot) initialization Xavier (Glorot) initialization is a weight-initialization scheme from Glorot and Bengio's 2010 paper that sets each layer's starting weight scale so signals stay stable across layers, giving substantially faster convergence in deep feedforward networks. | |
| Torch7: A Matlab-like Environment for Machine Learning A 2011 workshop paper by Ronan Collobert, Koray Kavukcuoglu and Clement Farabet describing Torch7, a Lua-based numeric computing framework and machine learning library built for flexible experimentation on fast low-level kernels. | |
| Kinect for Windows SDK beta A free beta software development kit released by Microsoft on 16 June 2011 that let developers use the Kinect sensor's depth sensing, motion tracking and voice recognition on Windows PCs, initially for non-commercial work. | |
| Databricks Databricks is a San Francisco software company founded in 2013 by seven people behind Apache Spark, which grew out of the University of California, Berkeley AMPLab project [1][2]. Its valuation rose from $38 billion in 2021 to $188 billion in 2026 [4][11]. | |
| Caffe 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. | |
| Knowledge distillation Knowledge distillation trains a small model to reproduce the outputs of a larger model or an ensemble, so that much of the predictive performance is kept at lower compute and deployment cost. | |
| Keras 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. | |
| Hugging Face Hugging Face is an AI platform company founded in 2016. Its Hub shares models, datasets and demo apps, its libraries include Transformers, and in September 2026 Nvidia agreed to acquire it. | |
| OpenAI Gym 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. | |
| PaddlePaddle 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. | |
| ONNX 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. | |
| Amazon SageMaker Amazon SageMaker is AWS's fully managed service for building, training and hosting machine learning models, announced in 2017. It combines hosted notebooks, distributed training and scalable inference endpoints, and each part can be used on its own. | |
| Papers with Code 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. | |
| Hugging Face Hub 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. | |
| OpenAI API platform The OpenAI API is OpenAI's commercial developer platform, announced on 11 June 2020 with GPT-3. Over the following years it grew into a platform for building AI agents, adding the Responses API, Agents SDK, AgentKit and other tools. | |
| GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding GShard, submitted to arXiv in June 2020, is a set of annotation APIs and an XLA compiler extension from Google that lets existing model code express parallel computation, scaling a sparsely gated mixture-of-experts translation model past 600 billion parameters. | |
| LoRA (low-rank adaptation) LoRA (low-rank adaptation) is a fine-tuning technique that freezes a pre-trained model's weights and trains small low-rank matrices instead, cutting the number of trainable parameters and the memory needed while keeping quality close to full fine-tuning. | |
| GitHub Copilot An AI coding collaborator covering public use cases such as completion, explanation, and software-development workflows. | |
| Triton 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. | |
| OpenAI Codex (2021 model) OpenAI Codex is a 2021 GPT language model fine-tuned on public code from GitHub. It translates natural language into code, and was introduced alongside the HumanEval benchmark for testing code correctness. | |
| Whisper Whisper is OpenAI's open-source speech recognition system, released in September 2022 and trained on 680,000 hours of audio, which transcribes speech in many languages and translates it into English. | |
| LlamaIndex 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. | |
| ModelScope 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". | |
| OpenRouter OpenRouter is a marketplace and gateway for large language models, started in early 2023, that lets developers reach hundreds of models from many providers through one interface. It reports more than 10 million users and a $113 million Series B. | |
| GPT-3.5 Turbo GPT-3.5 Turbo was the chat-optimised GPT-3.5 model OpenAI released through its API on 1 March 2023, priced at a tenth of the cost of earlier models and later replaced in ChatGPT by GPT-4o mini. | |
| Amazon Bedrock Amazon Bedrock is AWS's managed, serverless service for accessing foundation models from several companies, announced on 13 April 2023. It became generally available in September 2023 and added Amazon's own Nova models and the AgentCore agent platform later. | |
| Aider 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. | |
| QLoRA: Efficient Finetuning of Quantized LLMs QLoRA is a finetuning method that trains a 65B-parameter language model on a single 48GB GPU while matching full 16-bit finetuning quality, using 4-bit quantization, double quantization and paged optimizers. | |
| Ollama 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. | |
| FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning FlashAttention-2 is a 2023 revision of the FlashAttention attention kernel that reorganizes work across GPU thread blocks and warps, roughly doubling speed and reaching up to 73% of the A100's theoretical peak throughput. | |
| GGUF 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. | |
| AutoGen 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. | |
| Code Llama Code Llama is a family of coding models that Meta released in August 2023 by further training Llama 2 on code. It ranges from 7 billion to 70 billion parameters and uses the Llama 2 community license. | |
| DSPy 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. | |
| NVIDIA TensorRT-LLM TensorRT-LLM is NVIDIA's open-source library for speeding up and optimizing large language model inference on NVIDIA GPUs, publicly released on 19 October 2023 and usable free from GitHub or as part of NVIDIA NeMo. | |
| CrewAI 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. | |
| GPT-4 Turbo GPT-4 Turbo is a cheaper, more capable version of OpenAI's GPT-4, announced on 6 November 2023 with a 128,000-token context window and lower API prices. | |
| GPT Actions GPT Actions let a custom GPT call external APIs, turning a user's request into the JSON input an API needs. Introduced by OpenAI on 6 November 2023, they grew out of the plugins beta and rely on OpenAPI schemas plus authentication settings. | |
| MLX 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. | |
| SGLang 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. | |
| Gemma Gemma is a family of lightweight open language models from Google DeepMind, released in February 2024 in 2B and 7B sizes, built from the same research and technology as Gemini and offered for commercial use under Google's terms. | |
| Cline 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. | |
| FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision FlashAttention-3 is an attention algorithm for NVIDIA Hopper (H100) GPUs that reaches up to 75% utilization in FP16 and close to 1.2 PFLOPs/s in FP8, using asynchronous execution and low-precision techniques. | |
| GPT-4o mini A small, low-cost language model OpenAI released on 18 July 2024, priced far below GPT-4o and reported at 82% on MMLU; it replaced GPT-3.5 Turbo in ChatGPT on launch day. | |
| OpenHands OpenHands is an open-source platform for AI software-development agents that write code, use a command line and browse the web, released under the MIT license and described in a paper accepted at ICLR 2025. | |
| llms.txt /llms.txt is a proposed standard file that a website publishes so AI agents can find clean, structured information about it. Jeremy Howard published the proposal on 3 September 2024, and a second version followed two years of adoption. | |
| Replit Agent Replit Agent is an AI system from Replit that builds and deploys applications from a short natural-language description. It opened in early access to Replit Core subscribers in September 2024, and the company asked users to treat it as alpha software. | |
| Bolt.new Bolt.new is a StackBlitz product, launched on 3 October 2024, that builds websites, apps and prototypes from a chat prompt. It bundles code generation with hosting and reported about a million dollars of annual recurring revenue in its first week. | |
| Computer use Computer use is an Anthropic capability, released in public beta in October 2024, that lets an AI model operate a computer the way a person does — reading the screen, moving a cursor, clicking and typing — so it can drive ordinary software built for humans. | |
| Windsurf Editor An AI-native code editor released by Codeium on 13 November 2024, built around "AI flows" that combine copilot-style collaboration with agent-style independence, and featuring the Cascade assistant, the Riptide search tool and Supercomplete. | |
| Lovable Lovable turns a plain-language description into a full-stack web application, aimed at people who cannot code. Launched in November 2024, it grew quickly in users and raised several large funding rounds at rising valuations. | |
| Gemini 2.0 Flash Gemini 2.0 Flash is the first model of Google's Gemini 2.0 generation, released as an experimental model in December 2024 with multimodal output and native tool calling, and made generally available in February 2025. | |
| TRAE TRAE is ByteDance's AI coding product, launched in January 2025 with an IDE, a plugin and the SOLO agent. Its SOLO agent was renamed TRAE Work in June 2026.[^1][^9] | |
| Thinking Machines Lab Thinking Machines Lab is a San Francisco AI company founded in February 2025 by former OpenAI CTO Mira Murati. It built Tinker, an API for fine-tuning open-weight models, and released the open-weight Inkling model. | |
| OpenAI Agents SDK 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. | |
| Gemma 3 Gemma 3 is Google's third generation of open Gemma models, released on 12 March 2025 in 1B to 27B sizes, with a 128,000-token context window, image input on the larger variants, and support for more than 140 languages at the pretrained level. | |
| GPT-4.1 (with mini and nano) OpenAI's April 2025 family of three API models — GPT-4.1, GPT-4.1 mini and GPT-4.1 nano — offering a context window of over a million tokens, low prices per token and stronger coding scores. It was succeeded by GPT-5. | |
| Gemini 2.5 Flash A model in Google's Gemini 2.5 family, released in preview in April 2025 and generally available that June. Google called it its first fully hybrid reasoning model, letting developers turn thinking on or off with a token budget. | |
| Kiro Kiro is Amazon Web Services' agentic IDE, announced in July 2025, which turns a prompt into user stories, a design document and a task list before writing code — an approach its makers call spec-driven development. | |
| Qwen3-Coder Qwen3-Coder is an open-weight family of coding models from the Qwen team; its flagship 480B-parameter model, announced in July 2025, was built and trained specifically for agentic coding tasks. | |
| gpt-oss (gpt-oss-120b and gpt-oss-20b) gpt-oss is a family of open-weight reasoning language models released by OpenAI on 5 August 2025, in 120-billion and 20-billion parameter sizes, under the permissive Apache 2.0 license. | |
| Agent Skills Agent Skills are folders of instructions, scripts and resources that Claude loads when they are relevant to a task. Anthropic introduced them on 16 October 2025 and donated the open standard to the Agentic AI Foundation in October 2026. | |
| Google Antigravity Google Antigravity is a free, agent-first software development platform released by Google on 18 November 2025 for macOS, Windows and Linux, which runs Gemini models alongside rival models and later expanded into a CLI, SDK and managed API agent. | |
| OpenSandbox OpenSandbox is a general-purpose sandbox platform for AI applications, contributed by Alibaba to the Agentic AI Foundation. It offers multi-language SDKs, a unified sandbox API, Docker and Kubernetes runtimes, and a protocol that lets teams plug in custom runtimes. | |
| Open Responses Open Responses is an open specification and ecosystem, based on the OpenAI Responses API, that gives applications one shared schema for calling models, streaming results and composing agentic workflows across providers. | |
| Gemma 4 Gemma 4 is Google's fourth generation of open-weight models, released in April 2026 and built on the same research and technology as Gemini 3, ranging from phone-sized E2B and E4B to a 26B mixture-of-experts and a 31B dense model. | |
| GPT-6.1 (Sol and Terra) OpenAI's late-2026 model family: Sol, released at DevDay on 29 September 2026, and the faster, cheaper Terra on 26 October 2026. A planned Astra version was withheld over safety concerns. | |
| Codeium (Windsurf) Windsurf, formerly Codeium, is an agentic IDE founded by Varun Mohan and Douglas Chen. In 2025 its technology was licensed to Google while its chief executive joined Google, and the company itself was acquired by Cognition. | |
| GitHub GitHub is a code hosting and collaboration platform used by more than 225 million developers, acquired by Microsoft in 2018 and the birthplace of the GitHub Copilot coding assistant. | |
| Poolside Poolside is an AI company building models for software work; in April 2026 it released the Laguna M.1 and Laguna XS.2 models and pool, the agent runtime behind its reinforcement learning. | |
| Hugging Face Transformers library 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. | |
| Tool calling Tool calling lets a language model hand a sub-task, such as arithmetic or search, to an external program and use the result in its answer. Toolformer showed in 2023 that a model could learn when and how to call tools on its own. | |
| AMD AMD is a chip designer whose data center AI business centres on Instinct GPUs and APUs, expanded through the Xilinx and ZT Systems acquisitions and capped by a 6-gigawatt OpenAI supply deal. | |
| Prompt engineering Prompt engineering is the practice of designing the text input that steers a generative AI system toward a desired output. Shared vocabulary and techniques such as chain-of-thought prompting make results easier to describe, compare and reproduce. | |
| Context window A context window is the full span of text a model can refer to while producing a response, measured in tokens and including the response itself. Its size, and how evenly a model uses it, shape what the model can do. | |
| Accel Accel is a venture capital firm that describes itself as the first partner to exceptional teams everywhere. Its portfolio runs to hundreds of companies, and it invests at both seed and late stages, including several large AI-related rounds. | |
| LangGraph 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. | |
| Anysphere Anysphere is the company behind Cursor, an AI-assisted coding tool. Between 2024 and 2025 it raised four rounds, reaching a $29.3 billion valuation, over $1 billion in annualized revenue, and use by more than half of the Fortune 500. | |
| LangChain LangChain is the company behind the open-source LangChain and LangGraph frameworks and the commercial LangSmith platform, which developers use to observe, evaluate and deploy applications built on large language models. | |
| Agent Development Kit 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. | |
| AG-UI (Agent-User Interaction Protocol) AG-UI is an open, event-based protocol that connects AI agents to user-facing applications, standardising how agent state, UI intents and user interactions flow between an agent backend and a front end. | |
| Lovable Lovable is a platform that turns a plain-language description into working software, handling hosting, backend and payments; its co-founder says annual run-rate revenue passed $600 million. | |
| Insight Partners A software-focused investment firm that dates its software investing to a 1995 bet, reports over $90 billion in regulatory assets under management, and has invested in more than 900 companies worldwide. | |
| AIBO Performer Kit The AIBO Performer Kit (model ERF-510) is a motion editor released by Sony alongside its ERS-110 robot, letting owners write original movements for the robot on a personal computer and load them with an included Memory Stick. | |
| Kaggle Kaggle is a data science competition platform and online community founded by Anthony Goldbloom in April 2010, where most submissions are scored instantly on a live leaderboard. Google acquired it in March 2017. | |
| Kinect for Windows Microsoft's commercial edition of its Kinect depth-sensing camera, released on 1 February 2012 at a suggested price of $249 with a version 1.0 software development kit, so that companies and researchers could build motion- and voice-based applications for Windows computers. | |
| Apache MXNet 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. | |
| OpenAI Universe 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. | |
| MindSpore 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. | |
| Jurassic-1 Jurassic-1 is the first family of large language models from AI21 Labs, announced with the AI21 Studio developer platform in August 2021. Its largest model, Jumbo, has 178 billion parameters. | |
| Speculative decoding Speculative decoding speeds up text generation from large autoregressive models: a smaller model proposes several tokens and the large model checks them in parallel, producing identical output faster. | |
| Jurassic-2 Jurassic-2 is a family of large language models released by AI21 Labs in March 2023 as the successor to Jurassic-1, offered in three sizes with instruction-tuned variants, multilingual support and task-specific APIs; it was succeeded by Jamba in 2024. | |
| StarCoder StarCoder is an open-access code language model of about 15.5 billion parameters, released on 4 May 2023 by the BigCode project led by Hugging Face and ServiceNow. | |
| AI SDK (Vercel) 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. | |
| v0 v0 is Vercel's tool that turns a written description of an interface into frontend code built on React, Tailwind CSS and shadcn/ui. It drew 100,000 waitlist sign-ups and moved from Alpha to Beta in October 2023. | |
| Amazon Q Amazon Q is a generative AI assistant for work from AWS. It was announced in preview at re:Invent on 28 November 2023, respects each user's permissions and became generally available as Amazon Q Business on 30 April 2024. | |
| Qwen1.5 Qwen1.5 is the Qwen family's open model release of February 2024, with base and chat models from 0.5B to 72B parameters, later extended to 110B, and a mixture-of-experts model. | |
| StarCoder2 StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code. | |
| Gemini 1.5 Flash Gemini 1.5 Flash is a lightweight, fast model in Google's Gemini 1.5 family, announced on 14 May 2024 and trained by distillation from 1.5 Pro, with a 1-million-token context window. | |
| Codestral Codestral is Mistral AI's family of code models, first released in May 2024 as an open-weight 22B-parameter model with a 32K context window, followed by faster and longer-context versions aimed at IDE code completion. | |
| Gemma 2 Google's second-generation Gemma open models, announced on 27 June 2024 in 9-billion and 27-billion-parameter sizes, using grouped-query attention, an 8,192-token context window and a license permitting commercial use. | |
| Yi-Coder Yi-Coder is a family of open-source code models from 01.AI, released in September 2024 in 1.5B and 9B sizes, each with base and chat versions, covering 52 programming languages with context up to 128K tokens. | |
| Jules Jules is Google's asynchronous AI coding agent: it takes a task such as a GitHub issue, works in a secure cloud virtual machine, and returns a diff for review. It was previewed in December 2024 and reached general availability in August 2025. | |
| Devstral Devstral is Mistral AI's family of open-weight models for agentic coding, first released in May 2025 with All Hands AI; the first version scored 46.8% on SWE-Bench Verified and could run on a single consumer GPU. | |
| Apple Foundation Models (2025) Apple Foundation Models (2025) are the second generation of Apple's models. They add image understanding and a mixture-of-experts server design, and they open an on-device model to developers through the Foundation Models framework. | |
| Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite is the lowest-cost model in Google's Gemini 2.5 family, built for high-throughput work such as classification and summarisation, with thinking off by default and a controllable thinking budget. | |
| Gemini CLI Gemini CLI is an open-source AI agent released by Google on 25 June 2025 that brings Gemini models into the terminal, with a free personal-account tier and support for the Model Context Protocol. | |
| Grok Code Fast 1 A fast reasoning model from xAI for agentic coding, released in August 2025 with low per-token pricing, a 70.8% score on SWE-bench Verified, and integrations with GitHub Copilot, Cursor, Cline and other coding tools. | |
| Tinker (Thinking Machines) 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. | |
| OpenEnv OpenEnv is an open framework and community hub from Hugging Face for building reinforcement-learning environments as containerized services that expose an agent interface, MCP and the Gym training protocol. It was contributed to the Agentic AI Foundation in October 2026. | |
| Devstral 2 Devstral 2 is Mistral AI's 123B-parameter agentic coding model, released in December 2025 alongside the Mistral Vibe CLI and scoring 72.2% on SWE-bench Verified. It was deprecated in May 2026 and retired that July, replaced by Mistral Medium 3.5. | |
| Mistral Vibe Mistral Vibe is Mistral AI's open-source command-line coding agent, announced in December 2025 with Devstral 2; it later grew into a broader agent product with cloud sandbox sessions, a VS Code extension and monthly plans. | |
| Gemini 3.1 Flash-Lite Gemini 3.1 Flash-Lite is a low-cost, low-latency multimodal model in Google's Gemini 3 family, released in preview in March 2026 and generally available from May 2026 for high-frequency, lightweight tasks. | |
| Tencent WorkBuddy WorkBuddy is Tencent's desktop AI agent for workplace tasks. Launched in March 2026, it was later offered to global users with remote task access and standard tool connections. | |
| Grok 4.5 Grok 4.5 is an xAI model built for coding, agentic and knowledge work, announced on 16 July 2026. It was trained with Cursor on tens of thousands of NVIDIA GB300 GPUs and shipped as the default model in the Grok Build coding tool. | |
| Gemini 3.5 Flash-Lite The fastest model in Google's Gemini 3.5 series, released in July 2026 for high-throughput agentic work, and slated to replace gemini-3.1-flash-lite and take over traffic from gemini-2.5-flash. | |
| NVIDIA Nemotron 3.5 Transcribe Nemotron 3.5 Transcribe is Nvidia's free, open-weight speech transcription model, released on 28 October 2026. It handles recordings up to an hour long, transcribes up to 40 languages and can separate up to eight speakers. | |
| NVIDIA DGX Spark NVIDIA's DGX Spark is a desktop-sized AI computer built on the GB10 Grace Blackwell Superchip, pairing a 20-core Arm CPU with a Blackwell GPU and up to 128 GB of unified memory for running large models locally. | |
| Coze Studio 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. | |
| All Hands AI All Hands AI builds OpenHands, an open platform for AI agents that do software development work: working from conversations tied to repositories, opening pull requests and running automations. | |
| Agent memory Agent memory is the part of an agent system that stores information beyond the current context window so it can be recalled later. MemGPT (2023) framed the limited context window as the core constraint such designs must work around. | |
| Tencent Cloud CodeBuddy Tencent Cloud CodeBuddy is an AI programming assistant offered as a plugin, an IDE and a CLI, covering design-to-code, requirements documents, backend setup and one-click deployment. | |
| Poe Poe is a platform where creators build and share AI-powered applications — from simple prompt bots to server bots, script bots, canvas apps and API bots — reaching millions of users, with per-call creator payouts and platform-covered inference costs. | |
| NLWeb NLWeb is a set of open protocols and open-source tools that give websites a conversational interface, returning Schema.org JSON over natural language and doubling as an MCP server so the same API serves people and AI agents. | |
| Tongyi Lingma (Qoder CN) Alibaba Cloud's AI coding assistant, now presented as Qoder CN after being upgraded from Lingma: an IDE, JetBrains plugin, CLI, agent workbench, cloud agents, SDK and digital-worker product, sold in enterprise plans with a choice of Chinese models. | |
| Clément Delangue Clément Delangue is a French entrepreneur who co-founded Hugging Face in 2016 and runs it as CEO, leading its shift from a chatbot app to an open machine-learning platform and model hub. | |
| NVIDIA Isaac NVIDIA's robotics development platform for simulation, training, perception, and deployment. | |
| Feature engineering Feature engineering is the preprocessing step that turns raw data into more useful inputs for machine learning and statistical models, shaping, cleaning and trimming the attributes a model learns from. | |
| LM Studio LM Studio is a closed-source desktop app for macOS, Windows and Linux that lets people download, run and chat with large language models entirely on their own computer, and serves them to other software through OpenAI-compatible local endpoints. | |
| Amp Amp is a coding agent and development environment created by an independent agent research lab, marketed for frontier work and used by everyone from indie developers to very large engineering organizations. | |
| Julien Chaumond French entrepreneur who co-founded Hugging Face in 2016 and serves as its CTO, building the platform where open models and datasets are shared and speaking publicly for open-source AI. | |
| Thomas Wolf Thomas Wolf is a co-founder and chief science officer of Hugging Face, and the first author of the 2019 paper that introduced the company's open-source Transformers library to researchers and practitioners. | |
| Dify 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. | |
| Nat Friedman Nat Friedman is a technology executive who led Xamarin as CEO, became CEO of GitHub after Microsoft acquired it, and later joined Meta to help lead Meta Superintelligence Labs. | |
| Codestral Mamba Codestral Mamba is a 7B open code model from Mistral AI, released in July 2024, that swaps the Transformer for the Mamba state-space architecture to get linear-time inference. |