ruvnet/RuVector

Vector memory that gets smarter every time your agent uses it.

A Memory Engine for AI Agents,Working with Jev can bring higher decision accuracy . Nylon models a memory as a woven body of multiple strands of "threads" (facts/emotions/timing/relationships/beliefs/frequencies), with weighted edges between memory nodes forming a network graph rather than a hierarchical tree.

Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.

🗄 A Rust library designed as a specialized database for AI Agents, focusing on knowledge memory.

Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

HippocampAI Autonomous Memory Engine for LLM Agents

Persistent memory & RAG engine for AI agents — SQLite + FTS5 + embeddings, multi-stage recall, sleep maintenance, multi-host hooks

Auditable, local-first memory for AI agents in one SQLite file. MCP server for Claude Code, Cursor and Codex. npm: mnemosy-ai