AI & machine learning

Agent runtime API: discover agents, manage agreements, tasks, payments, messaging, grants and inbox delivery

Hub platform: manage models, datasets, Spaces, discussions, users and orgs via REST

Federated learning platform APIs: manage fleets, agents, tasks, organizations, licenses, billing and secret keys

Agent orchestration: run agent sessions, projects, PRs, reviews and automations locally

AI model gateway: chat, embeddings, images, audio, video, batches and files via OpenAI- and Anthropic-style endpoints

AI image, video, 3D and audio generation: create media, upload assets, train styles, run node apps

Voice AI: text-to-speech, speech-to-text, voice cloning, music and sound generation

Agent runtime: run long-lived agents, sessions, tasks, files, memory and channels over HTTP

Agents: manage chats, folders, skills, integrations, credentials, billing usage and identity

Hosted AI model proxies (OpenAI, Anthropic), file storage, email auth, and run management in one gateway

Spaces, publishing, versions, builds and runtime for sharing AI artifacts and apps

LLM gateway: chat, embeddings, images and audio, plus keys, credits and usage analytics

LLM platform: build agents, knowledge bases, evals, datasets, prompts, and query traces, logs and metrics

Generative media: images, video, lipsync, audio, 3D and LLMs behind one API key

AI agents: manage agent workspaces, tools, scheduled tasks and conversation invocations

Video scanning pipeline: ingest camera media, run AI measurements, export results and QA reviews

Voice AI: text-to-speech, speech-to-text, voice agents, phone calls and pronunciation dictionaries

Shared signed memory for AI agents: write and read verifiable facts by cell address, with provenance

LLM gateway: call 100+ models via OpenAI format, manage keys, teams, budgets and batches

Memory: add, search and delete agent memories, plus knowledge documents, topics and task status

Inbox, channels, AI agents and integrations: manage conversations, agents, files and workspace data

AI task routing: execute and verify tasks, chat completions, speech, and provider setup

Robot learning: manage datasets, training runs, checkpoints, sessions and inference endpoints

Cloud coding agents: open sessions on your repositories, stream their work, manage secrets, skills and automations