“Python”

Python framework for live data processing and RAG pipelines that run on a Rust engine.

Durable orchestration for data, ML and agent workflows, written as Python functions.

Runs open models locally or in the cloud, with a REST API and Python and JavaScript libraries.

Code execution API that lets LLM-generated code run in isolation and returns its output.

Global WebRTC infrastructure and SDKs for realtime voice and video, from the team behind Pipecat.

Web access API for AI agents with real-time search, extraction, crawling and research endpoints.

Open-source infrastructure that runs AI-generated code in isolated cloud sandboxes.

Open source vector database for AI apps, built on Postgres with pgvector and available self-hosted or managed.

Serverless sandboxes that let agents run untrusted code with fast starts, snapshots and egress controls.

Instant Linux microVMs on Deno Deploy for running untrusted code, driven from an SDK.

Search API for AI agents over public web and private information, with a hosted MCP server.