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/honey-memory

Create and maintain one committed per-project memory file (PROJECT.md) so agents stop re-discovering the same facts every cold session. Stores only the stable, expensive-to-rediscover, not-in-the-code context — architecture + why, build/test/run commands, decisions and dead-ends

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honey
35614 skills3 agents3 hooks

Claude Code

$ npx -y skills add Green-PT/honey-for-devs --skill honey-memory --agent claude-code

SKILL.md

honey-memory.SKILL.md
name: honey-memory
description: >-
  Create and maintain one committed per-project memory file (PROJECT.md) so
  agents stop re-discovering the same facts every cold session. Stores only the
  stable, expensive-to-rediscover, not-in-the-code context — architecture +
  why, build/test/run commands, decisions and dead-ends — as human-readable
  markdown, versioned with the code so it can't silently rot. Use when asked to
  set up project memory/context, stop agents re-grepping the codebase, scaffold
  or refresh a PROJECT.md / CLAUDE.md memory section, or cut cold-start
  rediscovery cost. Prose context only — never code, config, or data.
license: MIT

Honey Memory

Lever 2 applied to discovery cost. Every cold session re-greps the same things — where auth lives, the build command, *why* X is shaped Y. One committed file replaces N rediscovery round-trips with a single cached read, on every future session. The cheapest token is the one not re-derived.

The win is per-session and recurring. The risk is staleness — a wrong cached fact costs *more* than no file. So the file lives in git, next to the code that can invalidate it, and is fixed in the same change that breaks it.

Scaffold (create)

1. **One file per repo: `PROJECT.md` at the root**, committed (not `~/.claude`). If the repo already has `CLAUDE.md`/`AGENTS.md`, add/refresh a `## Memory` section there instead — don't add a second file. 2. **Back up before overwriting** an existing file: copy → `FILE.original.md`. If that backup already exists, stop and ask. Never clobber a restore point. 3. **Write only three kinds of fact** (derive by reading the repo):

  • **Architecture + conventions** an agent can't cheaply grep — where things

live, and *why* (the intent, not the file list).

  • **Build / test / run** commands, env, and gotchas.
  • **Decisions and dead-ends** — choices made, paths tried and rejected. This

is intent; it is never in the code. 4. **Report** what was written and the file path.

Never store

  • Anything **derivable from source** — code structure, symbol locations, past

fixes, git history. Re-deriving is cheaper than maintaining, and never stale.

  • **Secrets, tokens, credentials.** The file is committed.
  • Transient state — open TODOs, this-week status. That rots fastest.

If a fact is stable + expensive-to-rediscover + not-in-the-code, write it. Everything else, let agents derive on demand — caching it is where these systems quietly lose money.

Update

A markdown file does not update itself. Reliability = discipline, not infra:

  • **Same-change rule (primary).** When code changes invalidate a fact, fix the

fact in the same commit. Review catches drift because the file is in git.

  • **On-demand refresh.** Re-read the repo and rewrite stale entries; show the

diff. Don't blind-append — appending is how these files bloat and rot.

  • **Lint before and after a refresh.** `node "${CLAUDE_PLUGIN_ROOT}/bin/check.js" memory`

(no model) finds paths the file names that no longer exist, `@imports` that load nothing, the same rule loaded from two files, and a Claude Code `MEMORY.md` past the 200 lines / 25KB that load at session start. Fix each finding with the user's yes; never delete memory content unasked. (If `CLAUDE_PLUGIN_ROOT` is unexpanded, `bin/check.js` lives at the plugin root, two directories above this file.)

  • Treat a fact as **superseded**, not accumulated: replace the old line, don't

stack a new one beside it.

One file vs many

Start with **one file**. Split only when it crosses ~150–200 lines or covers clearly separable domains — then go to a thin index + topic files loaded on demand. Below that, an index costs more (the always-loaded tax) than it saves.

Keep terse

Apply Honey Lever 2 to the content — fragments over paragraphs, no narration of what the code already says. A bloated memory file is a per-session input tax. Keep it human-readable markdown: you (and reviewers) hand-edit it, so don't use a wire format — staleness costs more than the tokens a dense format would save.

Boundaries

Reversible — `FILE.original.md` is the restore path when overwriting. Verify every written fact against the current code before reporting done; an unverified fact is worse than an absent one.

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@green-pt
Ships withhoney

Write less code and say less about it. Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that cuts the output tokens AI coding agents spend — making them emit less code and less prose without losing correctness.

35614 skills3 agents
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Questions about honey-memory.

Which coding agents can use honey-memory?
honey-memory installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.