◦ Prompt · Mind

Give Your AI Agent a Brain and a Memory — From a Stateless Chatbot to an Assistant That Stays Herself and Remembers You, in One Session

Paste this into Claude Code, Cursor, or Aider and it interviews you about the agent you already have — its stack, whether it remembers anything today, whether its voice drifts over long chats — then does a strictly read-only pass over your codebase to see how it actually thinks before it changes a line. Only then does it help you build the brain that runs Trillion: a personality that lives in an editable file and reloads the moment you save it, a two-block system prompt that keeps the whole personality resident every single turn without ballooning your bill, an always-loaded core-knowledge layer so it never re-asks what it should already know, working memory that persists and recovers across sessions, and a typed, file-backed long-term memory with semantic recall — written both by the agent's own hand through tools and by an automatic end-of-session extractor that dedupes before it saves. It finishes with a self-knowledge layer so the agent knows what it is, and a personality checkpoint that stops it sliding into generic-assistant voice deep in a conversation. Interview first, map second, then build tier by tier — each tier ships independently with its own verification.

Jul 3, 2026agentbrainmemoryrecallpersonalitycontext-engineeringclaude-apianthropic-sdktutorial
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Make Your Voice AI Feel Human — From Laggy Turn-Taking to Smooth, Low-Latency Conversation in One Session

Paste this into Claude Code, Cursor, or Aider and it'll interview your voice-agent codebase about its existing speech-to-text, text-to-speech, and streaming setup BEFORE touching anything — then tune the whole conversation loop tier by tier: measure where the lag actually is, sharpen end-of-turn detection so it stops waiting, stream the model's thinking and the spoken voice so the first word lands fast, keep a long chat from getting slower over time, and teach it to recognize a natural goodbye so it stops taking the last word. Interview first, then improve one layer at a time, each with before-and-after numbers.