AI Agent Skills

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Apache Lucene and Solr open-source search software

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

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

Python client for Qdrant vector search engine

MMseqs2: ultra fast and sensitive search and clustering suite

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

📖 Cross-agent research paper toolkit for Claude Code, Codex, OpenCode, and DeepSeek Harness—quick summaries, deep study materials, code demos, and a local web viewer.

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.