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recall

An AI agent skill from rohitg00/agentmemory, scored 84 out of 100 by code and Verified.

84/ 100BVerified

Code score by group

  • Spec20/20
  • Description17/20
  • Procedure12/15
  • Done criteria11/15
  • Resources9/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (4), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Search agentmemory for past observations, sessions, and learnings about a topic using hybrid BM25 plus vector plus graph search. Use when the user says "recall", "what did we do about", "did we ever", "have we seen", or needs context from past sessions.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
rohitg00/agentmemory
Folder
plugin/skills/recall
License
Apache-2.0
GitHub stars
30,311
SKILL.md lines
75
Other files
2

Add recall to your agent

npx skills add rohitg00/agentmemory --skill recall

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

More skills from rohitg00/agentmemory

  1. remember

    Save an insight, decision, or learning to agentmemory's long-term storage with searchable concept tags. Use when the user says "remember this", "save this", "note that", "don't fo…

    Verified82B
  2. handoff

    Resume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume", "handoff", "pick up…

    Verified80B
  3. recap

    Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "…

    79B
  4. forget

    Delete selected durable memories from agentmemory after showing them and getting explicit confirmation. Use when the user says "forget this", "delete memory", "remove that note",…

    78B
  5. lesson

    Save a correction or hard-won rule as a confidence-weighted lesson that resurfaces before similar work. Use when the user corrects your approach, says "learn this", "always" or "n…

    77B
  6. commit-context

    Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this cha…

    73B
  7. commit-history

    List recent git commits linked to agent sessions, optionally filtered by branch or repo. Use when the user asks "show agent commits", "what has the agent shipped", "list linked co…

    73B
  8. memory-discipline

    The session loop that makes agentmemory pay off, recall before starting work, save at decision points, learn from corrections. Use when starting a nontrivial task, after settling…

    71B

All skills in rohitg00/agentmemory

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.