Agent infrastructure

Open durable execution: write async await code that runs on the database or queue you choose.

Converts any URL into LLM-friendly input and searches the web, through the r.jina.ai and s.jina.ai endpoints.

Database for AI with a deep-learning storage format for embeddings, media and datasets, plus vector search.

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.

Context and memory layer that syncs project decisions and rules selectively across coding agents and teammates.

Platform to make AI agents and workflows durable, deterministic and explainable.

Open-source, code-first platform for scripts, workflows, internal apps and AI agents.

Open-source data infrastructure for AI that stores embeddings and runs vector, full-text and metadata search.

Open-source, high-performance vector database for large-scale search, with a managed option on Zilliz Cloud.

Open-source vector database inside the OpenSearch search suite, for semantic search and RAG.