AI coding assistants are powerful — but they forget everything between sessions. We're building the infrastructure that gives AI persistent, compressed, instant-recall memory.
Every day, millions of developers use AI coding assistants. And every day, those assistants start from scratch — re-learning architectures, re-discovering patterns, re-reading codebases they've already understood.
Frequency exists to solve this. We provide the memory infrastructure that lets AI assistants remember context across sessions, compressed at 30x ratios using semantic encoding, and served from the edge in under 300 milliseconds.
We believe persistent memory is the missing piece that turns AI assistants from helpful tools into true development partners.
We build in the open. Our MCP protocol is standard, our encoding is documented, and our roadmap is public.
Terminal-native, zero-config, sub-300ms. We obsess over the developer experience because we are developers.
Tenant-isolated, encrypted at rest, GDPR-ready. Your memories belong to you — we never train on your data.
Built on Cloudflare Workers across 300+ locations. Your context is always nearby, no matter where you code.
Frequency is built on Cloudflare Workers for global edge compute, KV for sub-millisecond reads, and D1 for structured data — all replicated across 300+ locations.
Our semantic encoding engine (FrequencyHead v3) chunks text into 10-word segments, maps them to 2-byte cognitive codes via neural k-means clustering, and achieves 30x compression without losing meaning.
We implement the full Model Context Protocol (MCP) — 42 methods, compatible with Claude Code, ChatGPT, Cursor, and any MCP client. Drop-in, zero config.
Free tier. No credit card. 60 seconds to set up.