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Open-source project that applies AI to workplace tasks, meetings, sales, marketing, or productivity.

Open source web client for ChatGPT-style assistants, API keys, prompts, and self-hosted AI chat.

AI chatbot building platform with API.

Cherry Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

Runtime monitoring for AI agents — heartbeat watchdog, loop detection, cost tracking, auto-restart. Python SDK or HTTP API.

Cohere's API documentation helps developers easily integrate natural language processing and generation into their products.

Connect your agent to SaaS apps in minutes. Secure access to 20,000+ tools via MCP or direct APIs to automate real work.

Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.

Docs helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

Uses pixray to generate an image from text prompt.

Quickly understand inscrutable LLM frameworks by intercepting API calls.

Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.

Documentation - Financial Data API.

Ignite your models into blazing-fast machine learning APIs with a modern framework.

Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.

Go binding for MXNet c predict api to do inference with a pre-trained model.

Gobii is an open-source platform for deploying and managing browser-use agents at scale with a conversational interface and API.

Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.

Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.

Generate & monitor API keys, track usage, and manage Extract/Crawl end-points – all in one place.

Give your agents context that actually works. Real-time sync across Slack, GitHub, Jira, and more. One API, zero ops, semantic search built-in.

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

A hands-on course to train and deploy a serverless API that predicts crypto prices.

Run LLM backends, APIs, frontends, and services with one command.