“TypeScript”

Open-source platform for building durable AI agents and workflows in TypeScript.

Orchestration platform for AI agents, background tasks and durable workflows.

Makes ordinary TypeScript async functions durable, with suspend, resume and retries.

Durable serverless functions in TypeScript and Python, with retries, delays and event waits.

Code sandboxes built from Docker-image snapshots for running agent and model-generated code, with Python and TypeScript SDKs.

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

Open-source SDK for browser agents that combines natural-language act, extract and observe with Playwright-style control.

Platform for stateful agents that learn from experience and keep their memory across sessions.

Memory built from what agents do, not only what they say, so later runs can avoid repeated failures.

Open-source sandbox platform that runs AI agent workloads in isolated environments on your own infrastructure.

Open-source, local microVM sandboxes for untrusted workloads, with an embeddable SDK and an MCP server.

Open-source long-term memory layer for AI agents with episodic and profile memory.

Open-source document intelligence API that converts PDFs, Office files and images into RAG-ready chunks.

Open durable execution: write async await code that runs on the database or queue you choose.

Managed memory layer from Redis that lets AI agents recall facts and preferences across sessions.

Serverless platform to build, deploy and scale AI agents with memory, RAG and hosted tools.

Model router that predicts which LLM to call for each request, aimed at cutting coding-agent costs.

Desktop app for running open LLMs locally, with a built-in agent called Bionic.

Document processing infrastructure for AI agents that parses, extracts, splits and verifies documents.

Secure, elastic infrastructure that runs AI-generated code in sandboxes created in under 90 milliseconds.