> compress
every token counts.
we designed memra around that.
this demo compresses english text ~40% in your browser — no api, no backend, zero latency.
it’s not how memra works internally, but it shows the principle we build on:
give the AI exactly what it needs, nothing more.
> live compressor
paste english — get compressed english
drops stopwords, abbreviates common terms, preserves everything that matters (urls, filenames, numbers, code).
> the problem we solve
AI agents forget. context windows overflow.
the demo above is a simple text compressor. memra’s approach is fundamentally different — but the mission is the same: give your AI the right information without wasting tokens.
this demo: client-side text compression
drops stopwords, abbreviates common terms, preserves what matters. pure javascript, runs in your browser. no API calls, no backend, no data leaves your machine. useful on its own, but it’s not how memra stores or retrieves memories.
memra: semantic recall, not brute-force
instead of stuffing entire conversation histories into prompts, memra lets your AI ask for specific memories and get back only what’s relevant. vector search, importance scoring, type filtering — your agent retrieves what it needs, when it needs it.
the result: less tokens, better answers
when your AI retrieves 3 relevant memories instead of re-reading 50 pages of history, context windows go further and responses improve. structured storage, eu-hosted, privacy-first. your data stays yours.
ready to give your AI a memory?
free tier. eu-hosted. privacy-first. no credit card required.