“Python”

Python library and API that uses LLMs to extract structured data from websites and local documents.

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.

Open-source AI gateway with a Python SDK that calls 100+ LLM providers through the OpenAI format.

Unified inference platform for deploying and scaling AI models on any cloud, with an open-source Python serving framework.

Memory system for agents that captures, structures and retrieves memories, with a Docker backend and Python client.

Open-source library that optimizes LLM and visual generation inference with specialized kernels and a Python framework.

Open-source Python framework for building temporal knowledge graphs that AI agents can query.

Python framework for LLM-powered agents, built on the Dapr distributed systems runtime.

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

Open-source web crawler that turns pages into LLM-ready Markdown, with an optional hosted cloud API.

Agent memory system that helps agents learn over time through retain, recall and reflect operations.

Library for efficient similarity search and clustering of dense vectors, with optional GPU support.

Simple and fast retrieval-augmented generation library with several chunking strategies and storage backends.

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

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

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

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

Continuously fresh context for AI agents, with only changed data reprocessed.

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

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.

Library that lets LangGraph agents extract, consolidate and search their own long-term memory.