Everything in the catalog

Single-file executable that bundles llama.cpp with Cosmopolitan Libc, so an LLM runs locally with no installation.

Platform that turns PDFs, tables, forms and scans into structured, agent-ready data.

AI gateway and LLM observability platform for logging, debugging and routing LLM requests

Open-source API gateway with AI plugins for multi-provider LLM proxying, token limits and observability.

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 vector similarity search extension for Postgres that stores vectors alongside relational data.

Memory operating system for LLMs and AI agents that stores, retrieves and manages long-term memory.

Identity-aware gateway that adds authentication and tool-level access control in front of MCP servers

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

Open-source, embedded vector search and multimodal lakehouse built on the Lance columnar format.

Open-source platform to trace, test, evaluate and govern every LLM call and AI agent in production

Open-source authorization decision point and management platform for apps, APIs and AI agents

Hosted API for running, fine-tuning and deploying AI models, including image, video, speech, music and LLMs.

Open-source, MIT-licensed platform for observing production AI agents and turning failures into tracked signals

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

Open-source platform for serving LLM, embedding and multimodal models on your own premises or in the cloud.

Open-source AI gateway with one OpenAI-compatible API for 23+ providers, with fallbacks and semantic caching.

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

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

Open-source browser API for AI agents, with sessions, proxies and cloud browsers that you can also run yourself.

Platform that uses LLM prompts to turn unstructured documents into structured JSON, deployable as an API or ETL pipeline.

Continuous-improvement stack for agents: monitor behavior, detect failures and validate fixes

Open-source memory for AI agents that reasons over conversations to model each user and agent.