“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.

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.

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.

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

Search database for vector and full-text queries, built on object storage and available as a Python client.

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.

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.

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, datacenter-scale orchestration layer that coordinates multi-node inference across engines such as SGLang, TensorRT-LLM and vLLM.

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

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

Hybrid retrieval engine built on object storage, with semantic, keyword, dense, sparse and multi-vector search.