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agentmemory-architecture

An AI agent skill from rohitg00/agentmemory, scored 45 out of 100 by code.

45/ 100D

Code score by group

  • Spec20/20
  • Description5/20
  • Procedure0/15
  • Done criteria0/15
  • Resources5/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (15), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.

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

Repository
rohitg00/agentmemory
Folder
plugin/skills/agentmemory-architecture
License
Apache-2.0
GitHub stars
30,311
SKILL.md lines
38
Other files
1

Add agentmemory-architecture to your agent

npx skills add rohitg00/agentmemory --skill agentmemory-architecture

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.

More skills from rohitg00/agentmemory

  1. recall

    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 a…

    Verified84B
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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

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.