AI Agent Skills

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.

MMseqs2: ultra fast and sensitive search and clustering suite

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

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

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.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Application implementation with business use cases for safely utilizing generative AI in business operations