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agent-memory-profiles

Skill7 starsChanged 4 months agoMITView on GitHub

Design durable user, project, persona, and task memory profiles for local agents.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this Note when a Memoire or Studio run needs agent memory profile, persona file, context file, persistent memory.

    line 12
  2. Distinctive:

    Keep high-authority files small and specific.

    line 17
  3. Distinctive:

    Prefer append-only memory updates with date, source, and confidence fields.

    line 18
  4. Distinctive:

    When migrating memory, preserve provenance and mark stale or unverifiable entries.

    line 19

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Agent Memory Profiles

Design durable user, project, persona, and task memory profiles for local agents.

When to Use

Use this Note when a Memoire or Studio run needs agent memory profile, persona file, context file, persistent memory.

Workflow

  1. Separate durable identity, user preferences, project rules, and temporary task state.
  2. Keep high-authority files small and specific. Long transcripts belong in searchable knowledge stores.
  3. Prefer append-only memory updates with date, source, and confidence fields.
  4. When migrating memory, preserve provenance and mark stale or unverifiable entries.
  5. Review memory before a sensitive run so old preferences do not override current instructions.

Sources

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free