Claude Code wastes tokens on internal reasoning. Context windows fill up and forget. Frequency Reasoning encodes thoughts with 30× compression. Think, remember, communicate—all without tokens.
Every time Claude reasons through a problem or agents communicate, you're paying for LLM tokens. Even solo thinking costs money.
Agents think in frequencies, not text. Communication happens at the speed of math, not LLM inference.
Replace expensive text-based reasoning with lightning-fast frequency encoding. Think, remember, and communicate—all without tokens.
Claude's internal thinking or agent communication is encoded into frequency patterns using our 2,048-code cognitive codebook. No extra LLM calls.
Solo mode: Claude reasons internally using codes. Multi-agent: Send 8-byte packets instead of 2KB text. 10,000x faster.
Only decode to human-readable text when showing output to users. Internal reasoning stays encoded, saving 98% on tokens.
Store memories as frequencies with 30× compression. Expand effective context from 200K to 6M+ tokens. Never forget prior conversations.
Add frequency reasoning to your agents with just a few lines of code. Works with any language or framework.
View Quickstart Guide →// Solo thinking: Encode Claude's reasoning const session = await freq.session.create('code-review'); // Think in frequencies (no tokens!) await freq.session.observe(session.id, 'bug', { file: 'auth.ts' }); await freq.session.reflect(session.id, 'analysis', 'Missing expiry check'); await freq.session.decide(session.id, 'fix', true); // Get frequency packet (5 codes, 10 bytes) const { codes } = await freq.session.complete(session.id); // Decode ONLY when showing to user if (showToUser) { const text = await freq.decode(codes); console.log(text); // "Found bug in auth.ts..." } // Store memory with 30× compression await freq.memory_store({ key: 'auth_fix', content: 'Fixed token expiry bug in auth.ts', tags: ['security', 'auth'] }); // 40 chars → 2 bytes (20×)
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