Imprint Memory — AI skill for Claude Code

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imprint-memory

Give Claude a memory that lasts. Everything you tell it stays — searchable across conversations, private, on your machine.

Your memory lives in a local database — not the cloud. Default embeddings use a free Google key; go fully local and offline with Ollama.

You: "Remember I'm allergic to shellfish"
          ↓ stored locally
... weeks later, new conversation ...
Claude: (recalls your allergy before suggesting a recipe)

What it does

• Captures every turn automatically — each surface feeds the same store through its own entry point: a Stop hook for Claude Code, the Chrome sync extension for claude.ai, channel adapters for Telegram and the like. Every message lands in a searchable log, gets segmented into events, and multimodal-embedded (text + image). The LLM never needs to "decide to remember" — it's already stored.
• Hybrid search out of the box — keyword (FTS5/BM25) + semantic (vector) + RRF rank fusion across memory / bank / chunk pools. "What did I say about that project last week?" → it finds it.
• Auto-surfaces context before you even ask — a UserPromptSubmit hook calls surfacing_search on every prompt and injects a block with up to ~6 related events.
• Multimodal — images sent in a conversation get text + image embeddings, so "the red screenshot I sent" lands on the right message even if the caption doesn't mention "red".
• Syncs your claude.ai chats — optional Chrome extension captures your web conversations into the same memory store.
• AI-flagged highlights (optional) — the LLM can call memory_remember to bump a specific fact higher in search results, but the system fully works without it.
• Stays organised — facts can be pinned, tagged, and linked (graph edges between memories). Importance can be tuned per-entry.
• Speaks Chinese — full CJK search, time expressions l