When you've been away from a project or just lost track of what Claude worked on yesterday, this pulls your last N agent sessions and groups them by date with the most important observations surfaced per session. It parses "today", "this week", or "last 10" from your query, filters to the current project directory, and uses memory_recall to grab highlights rated 7 or above. The output is compact: session ID prefix, title, observation count, and a few indented bullets. The anti-pattern section is worth reading because it explicitly refuses to hallucinate productivity when the time window is empty, which is the right call but not what every summarizer does.

skills.sh installs
14.3K
GitHub stars
30.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add rohitg00/agentmemory --skill recap --agent claude-code

Installs into .claude/skills of the current project.

Files

The user wants a recap. Time window args: $ARGUMENTS

Quick start

memory_sessions { "project": "<current-project-id>", "limit": 30 }

Then per surviving session: memory_recall { "query": "<top concepts>", "project": "<current-project-id>", "limit": 3 }. When an agent is requested, pass the same agentId to both calls.

Expected output:

2026-06-07
  7f3a9c2 · "Auth refresh rework" · 14 obs · completed
    - [8] Rotate refresh tokens on every use
3 sessions across 2 days, 41 observations.

Why

Only summarize sessions and observations the tools returned. An empty window is a real answer, not a prompt to invent activity.

Workflow

Sponsors

Details

Repository
github.com/rohitg00/agentmemory
Category
AI & Agent Building
First seen
Jul 14, 2026

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