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AI · February 5, 2026

TR

Total Recall – write-gated memory for Claude Code

built this because I got tired of re-teaching Claude Code the same context every session. Preferences, decisions, “we already tried X,” “don’t touch this file,” etc. After a few days it starts to feel like onboarding the same coworker every morning. Most “agent memory” tools auto-save everything. That feels good briefly, then memory turns into a junk drawer and retrieval gets noisy. Total Recall takes the opposite approach: a write gate. Before anything gets promoted, it asks one question: “Will this change future behavior?” If not, it doesn’t get saved. How it works: Daily log first (raw…

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In plain words

Total Recall is a memory system for Claude Code that persists context across sessions through selective saving. Instead of auto-saving everything, it uses a "write gate" that only stores information likely to change future behavior—such as preferences, decisions, and project constraints. The tool organizes memories into daily logs and durable registers, loading a lean working memory each session to avoid noise. It is designed for developers who work with Claude Code repeatedly and want to avoid re-explaining the same context, decisions, and constraints every time.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

built this because I got tired of re-teaching Claude Code the same context every session. Preferences, decisions, “we already tried X,” “don’t touch this file,” etc. After a few days it starts to feel like onboarding the same coworker every morning. Most “agent memory” tools auto-save everything. That feels good briefly, then memory turns into a junk drawer and retrieval gets noisy. Total Recall takes the opposite approach: a write gate. Before anything gets promoted, it asks one question: “Will this change future behavior?” If not, it doesn’t get saved. How it works: Daily log first (raw notes) Promote durable stuff into registers (decisions, preferences, people, projects) Small working memory loads every session (kept intentionally lean) Hooks fail open. SessionStart can surface open loops + recent context. PreCompact writes to disk (not model-visible stdout) The holy shit moment is simple: tell Claude one important preference or decision once, come back tomorrow, and it behaves correctly without you repeating yourself. Would love feedback from heavy Claude Code users: Does the write gate feel right or too strict? Does this actually reduce repetition over multiple days? Any workflow/privacy footguns I’m missing?

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