“TypeScript”

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

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

Visual no-code builder and TypeScript SDK for multi-agent AI assistants, with two-way sync and self-hosting under a fair-code license.

Open-source platform for code-first API integrations, auth and MCP tools for products and agents

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

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

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.

Open-source observability for AI apps: traces LLM calls, prompts, retrieval and agent steps via OpenTelemetry

Open-source, Apache-2.0 visual tool for building AI agents, apps and workflows with plugins, knowledge bases and an API and chat SDK

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

Open-source visual IDE for building AI agents and prompt chains as graphs that run inside your own application.

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

Tracing, evaluation and monitoring for LLM apps and agents, with SDKs for several languages

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

Enterprise platform to build, evaluate, deploy and govern AI agents, from a visual studio to SDKs and REST APIs, hosted by Lyzr or in your own cloud