Autonomous coding agent that runs each task in its own cloud sandbox preloaded with your repo — writing features, fixing bugs, running tests, and opening PRs. Reachable from ChatGPT web, a CLI, desktop apps, and IDEs (VS Code, JetBrains, Xcode).
AI API2023
Gives developers direct REST access to Claude models for chat, coding, agents, batch jobs, token counting, and structured outputs. It is best for teams that want Anthropic's newest features without routing through a cloud marketplace.
AI API2020
Lets developers build AI features with hosted frontier models for text, code, vision, audio, images, and agents. The platform pairs model APIs with tools, SDKs, safety controls, and enterprise options.
AI API2024
Runnable starter projects for the Claude API you fork and adapt: a knowledge-base customer support agent, a financial analyst that charts results in chat, plus computer-use, browser-use, and autonomous-coding-agent reference implementations.
AI API2023
Run and manage open and community LLMs locally via a compact CLI and REST API—supports model import, Docker deployment, and official Python/JS SDKs for local inference, RAG, and dev workflows.
AI API2023
Lets developers call Gemini, Nano Banana, Veo, and other Google AI models from apps through SDKs or REST. It is fastest for teams that want hosted multimodal generation without running model infrastructure.
AI API2012
Provides a collaborative API development platform for designing, testing, documenting, and monitoring APIs — with sharable Collections, mock servers, CLI, and AI-driven features (Agent Mode, AI Agent Builder, MCP Server) to automate API workflows.
AI Infra2016
Unified Node.js library for web crawling and browser automation that fetches pages and files via headless browsers or raw HTTP. Provides persistent queues, proxy rotation, session management, storage, and human-like fingerprints to build scalable data pipelines (e.g., RAG/LLM datasets).
MLOps2017
Tracks every ML run — hyperparameters, metrics, checkpoints, dataset versions — into one dashboard you share as a live report, with Sweeps for tuning and a model registry. Weave extends it to LLM apps: tracing, evals, and production monitoring.
AI Client2018
Turns a top-to-bottom Python script into an interactive web app: each widget interaction reruns the whole script, with cache decorators skipping redundant work. No callbacks or HTML needed; built for data dashboards, ML demos, and internal tools.
AI Deploy2018
Serves machine learning and deep learning models for cloud, data center, edge and embedded environments. Supports multiple frameworks and backends, dynamic and sequence batching, HTTP/gRPC APIs, Docker deployment and NVIDIA-optimized runtimes.
AI Deploy2019
Turns Python ML code into production inference APIs that scale on Kubernetes or any cloud. Bundles models, dependencies, and serving logic into versioned "Bentos" with autoscaling, scale-to-zero, and multi-GPU serving for LLMs and custom models.