Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Self-organizing neural graph memory with Hebbian learning for AI systems. Connections strengthen through co-activation and weaken through temporal decay. 118+ learning nodes, dual-write architecture, and sub-millisecond reads.
Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.