AI memory

Aurra is memory infrastructure for AI agents, with bi-temporal versioning, source-cited memory history, and an automatic supersession feature that uses an LLM classifier to decide when new facts replace old ones.

Local-first AI memory layer for LLM apps with persistent knowledge graph storage, entity extraction, semantic retrieval, and API endpoints for ingesting and retrieving context.

Local-first memory layer for coding agents with an MCP server, CLI, and desktop console for durable project context, handoffs, and recall across sessions.

A persistent memory layer for AI agents, built as a standard MCP server with local setup, dashboard, and benchmark claims against other memory tools.

HelixDB is an OLTP graph-vector database built in Rust, aimed at AI apps, knowledge graphs, and memory layers. The page shows the product’s core model, CLI workflow, SDK examples, and local setup commands.