AI Agent Skills

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.

MMseqs2: ultra fast and sensitive search and clustering suite

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

Compose enterprise LLM agents and plugins

The API to search, scrape, and interact with the web at scale. 🔥

Write, rewrite, or build a paper or report (journal, conference, report, review, competition) end to end, then output LaTeX/PDF/Word. The main PaperSpine entry point tha…

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Simple, Elastic-quality search for Postgres

A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface

A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.

The AI-native state store for agents. MySQL-compatible, embedded or server, hybrid vector + full-text search, COW sandboxes (FORK/MERGE).

Distributed vector search for AI-native applications

Fast BM25 search in Python, powered by Numpy and Numba

The end of web parsing. The beginning of scalable pixel-native search.

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.