Everything in the catalog

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

Fast, easy-to-use open-source library for LLM inference and serving, with an OpenAI-compatible server.

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

Open-source RAG engine with document ingestion, hybrid search and visual agent workflows.

Open-source document conversion library that turns PDFs, Office files and audio into structured data.

Plain C/C++ LLM inference engine that runs quantized models on many hardware backends, with an OpenAI-compatible server.

Document parsing engine for LLMs and agents, turning PDFs, Office files and web pages into Markdown or JSON.

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

Long-term memory layer that lets AI assistants and agents keep user context across sessions.

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

Cloud-native API, LLM and MCP gateway with multi-LLM routing, AI analytics and an extensible plugin system.

Open-source AI runtime that runs text, voice, image and agent workloads on your own hardware behind OpenAI-compatible APIs.

Managed Ray platform for distributed training, batch inference and data processing on GPU clusters.

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

Open-source tool that converts PDFs, images and Office files to markdown, JSON, chunks and HTML.

Open-source inference framework for LLMs and multimodal models, built for agentic workloads and large-scale serving.

Open-source AI memory platform that turns documents, code and conversations into a knowledge graph for agents.

Open-source vector similarity search engine and database written in Rust, with a managed cloud.

Headless browser built from scratch in Zig for AI agents and automation, not based on Chromium.

Free, self-hostable metasearch engine that aggregates results from many search services without tracking users.

Memory and context engine for AI that extracts facts, keeps user profiles and feeds context back to agents.

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

Open-source orchestration platform for data, AI and infrastructure workflows, defined in YAML.

Unified gateway for deploying and managing multiple LLM providers behind one secure endpoint.