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Show HN: Directed Memory Bank – Tool-agnostic project context for AI agents

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Show HN: Directed Memory Bank – Tool-agnostic project context for AI agents
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Directed Memory Bank Persistent project understanding for AI coding agents. Your AI agent starts every session knowing nothing. Directed Memory Bank (DMB) gives it structured project knowledge and working state — in plain markdown files that work with any tool.

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Record

Original publisherGitHub
Canonical URLhttps://github.com/pmikutel/directed-memory-bank
Publication timeMon, 27 Jul 2026 16:45:53 +0000
Retrieval time2026-07-27T16:56:30.259Z
Last seen2026-07-27T16:56:30.259Z
Headline sourcePublisher (no WeSearch rewrite)
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ClusterFM1v6ZSpE6G8 · 1 stories
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Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Directed Memory Bank Persistent project understanding for AI coding agents. Your AI agent starts every session knowing nothing. Directed Memory Bank (DMB) gives it structured project knowledge and working state — in plain markdown files that work with any tool. Inspired by the Cline Memory Bank pattern. See Inspiration below. What changes You know the ritual. Coming back after the weekend, you open a new AI session and burn the first ten minutes re-explaining the stack, the auth flow, the deprecation plan, why library X is off the table — before you can finally ask the actual question. With DMB, that ritual is gone. The AI already knows the project. You just continue. Concretely: Sessions resume, they don't restart.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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