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MemFlow Documentation

Technical overview of MemFlow, the Context VMM engine, and integration guides.

Powered by Context VMM

MemFlow is built on LamoonAGI Context VMM, a virtual memory paging system for LLM context that identifies and removes redundant tokens while preserving semantic fidelity.

Privacy

MemFlow processes context metadata to generate optimization suggestions. Raw prompt content is never stored. Telemetry defaults to metrics-only mode with no raw prompts.

Privacy Policy

Web Analyzer

Paste your LLM context below to see token usage and estimated savings.

Web Analyzer

VS Code

Track token usage and optimize AI context directly from your editor.

VS Code

Relay

A local proxy that sits between your AI tools and Gemini, optimizing context without sending your Gemini API key to any third party.

Relay

Powered by LamoonAGI Context VMM technology

MemFlow Docs · Lamoon AGI