Give your assistant the tools to remember.

Search, recall, update and inspect knowledge through one Model Context Protocol connection.

Explore tools

See what you can do, how it works, and what to know before you start.

Review Memrain tool requests, outcomes, latency and credential changes through operator activity records with configurable request-log retention.

Inspect a client's effective Memrain grant and review current credentials against real page-read rules before sharing sensitive context.

Revoke unused enrollment codes, remove a member's active grant or replace a lost connection while preserving its Memrain source and budget settings.

Understand where Memrain runtime secrets and client credentials belong, how enrollment works and how credential screening protects saved content.

Connect supported AI clients to Memrain through MCP and use scoped tools for retrieval, pages, facts and knowledge maintenance.

Use Memrain’s command line to import content, inspect health, manage sources and credentials, export pages and run maintenance.

Use scoped personal tokens or OAuth credentials to control which Memrain sources a client can read and where it can write.

Separate infrastructure costs from optional model usage, set supported daily spending limits and inspect the recorded activity of your deployment.

Track supported durable jobs and optional read-only research tasks with visible status, cancellation and budgets, within the caller’s access.

Inspect source health, indexing, jobs, request logs and storage diagnostics before treating a missing result as missing knowledge.

Connect your knowledge to the AI you already use. Find your starting point and make the next conversation count.