#vector-database

LatticeDBNew

An embedded, single-file database that combines graph relationships, vector similarity search, and full-text search — built for local AI, RAG, and agent-memory apps.

CueMapNew

A deterministic, Rust-built memory engine for AI agents, offering sub-millisecond recall over millions of stored memories.

Weavit UINew

A free, open-source cross-platform desktop GUI for the Weaviate vector database with collection browsing, search, and management capabilities.

turbovecNew

A free, open-source vector search library that finds similar items (for AI search, recommendations, RAG) faster and using far less memory than the previous standard, FAISS.

PolygresNew

Turns a Postgres database into working memory for AI agents, with hybrid search across relational, graph, and vector queries in one call.

AgentMemory

A local notebook for AI coding assistants like Claude Code or Cursor, so they remember what happened in yesterday's session instead of starting from a blank page every time you open a new chat.

Statewave

A free, open-source memory system for AI agents that remembers things the same reproducible way every time — instead of the usual approach where an agent's memory changes slightly each time it searches, which makes its behavior hard to trust or audit.

Powabase

Think of it as a Supabase for AI apps specifically — a database, a document-search engine, and a visual agent builder bundled together, so building an AI product doesn't mean separately wiring up Postgres, a vector store, and an orchestration framework yo

Epsilla

A platform to build AI agents that know your company's specific documents and data, plus a newer tool (HarnessRouter) that lets an app plug into several different AI coding agents through one connection instead of wiring each one up separately.

LanceDB

An open-source database built specifically to store and search the huge piles of images, text and embeddings that AI systems train on and search through.

Mem0

Gives AI chatbots and agents a real memory — so they remember what you told them last week — instead of forgetting everything the moment a conversation ends, the way most AI apps do by default.

turbopuffer

Vector + full-text search database built on object storage: cheap at scale, sub-10ms latency, used by Cursor, Notion and Linear.