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PostgreSQL platform for hybrid AI agent memory and retrieval Polygres is an all-in-one PostgreSQL platform for AI agents that combines relational data, graph traversal, vector search, and hybrid retrieval through a unified API. It turns existing PostgreSQL databases into working memory for agents, allowing them to retrieve structured rows, connected relationships, semantic matches, full-text results, and filtered context without using a separate vector database, graph database, or synchronization pipeline. Polygres includes pgGraph for foreign-key-based graph traversal and pgContext for fused retrieval across dense HNSW vectors, sparse search, full-text search, filtering, recommendations, discovery, grouped results, and lookups. Users can deploy it as a managed cloud database or self-host its open-source components.

Persistent AI memory platform for codebases, chats, and teams. Mother Brain is a local-first AI memory platform that gives coding assistants persistent memory across sessions, projects, and teams. It indexes codebases and conversations, supports semantic search, and connects with MCP-compatible tools and popular editors.

AI database fusing vector search with SQL analytics for scalable AI applications. MyScale is a next-generation AI database that combines vector search with SQL analytics. It offers a streamlined, fully-managed, and high-performance experience for unlocking insights from massive multimodal vector datasets with speed and efficiency. It enables developers to build production-grade GenAI applications with powerful and familiar SQL.

AI platform for document conversion and persistent agent memory Kit for AI is a platform for AI document conversion, persistent memory, and grounded knowledge. It turns files, URLs, scans, and YouTube transcripts into clean Markdown or schema-shaped JSON, then lets agents search, remember, and cite answers through MCP or REST.

Open-source vector database and search engine for similarity search in AI applications. Qdrant is an open-source vector database and vector search engine written in Rust. It provides fast and scalable vector similarity search service with convenient API. It blends vector similarity with custom logic using Score Boosting Reranker. Qdrant integrates with all leading embeddings and frameworks, turning embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.