---
name: people-memories-18d8996cc924
description: Capture short personal notes about people you mention, store them in a lightweight DB, and recall those details whenever you ask about them later. Use when you want to remember preferences, reminders, or the context around a person without digging through past chats.
---

# People memories skill

## Purpose
Keep a short-lived, searchable memory vault about people you talk to so your assistant can recall follow-ups instantly. The skill handles:
- `remember` cues (voice or text) to persist comments, preferences, and context.
- Summaries + exports so you can package a person’s “fact card.”
- Search, recall, and list commands for quick lookups.
- Optional auto-trigger from voice transcripts (when you say “remember …”).

## Structure & storage
`~/.clawdbot/people-memory.json` now stores:
```
{
  "people": {
    "alex": {
      "displayName": "Alex",
      "notes": [
        {
          "timestamp": "2026-01-29T12:05:00Z",
          "note": "Likes cats and doing late-night music practice",
          "source": "voice",
          "tags": ["pets", "music"]
        }
      ]
    }
  },
  "index": {
    "music": ["alex"],
    "cats": ["alex"]
  }
}
```
- Names are normalized (lowercase keys) but store the display name.
- Each note captures `timestamp`, `note`, `source`, and `tags`.
- An `index` map keeps keywords → people for super-fast lookups.

## CLI commands
Use the bundled script to manage the database:
```
skills/people-memories/scripts/people_memory.py <command> [options]
```
- `remember --person Alex --note "loves chai" --tags drinks,preferences` – adds a note.
- `recall --person Alex --limit 3` – reads the latest notes.
- `summarize --person Alex` – prints fact card with counts, tags, last updates.
- `search --query coffee` – finds people whose notes mention “coffee”.
- `export --person Alex --format md --out ~/Desktop/alex.md` – dumps the notes as Markdown (or JSON). 
- `list` – enumerates everyone stored plus note counts.

## Auto capture (voice/chat)
The `extensions/people-memories` extension listens to `/voice-chat` transcripts. When you say something like “remember Alex likes cats,” it automatically runs the `remember` command and logs the note. The index updates in the background, and we keep confirmations quiet unless you explicitly ask for them.

## Reminders & automation
Event metadata (type + date) is attached whenever a note mentions birthdays or anniversaries. A helper cron job runs `python3 skills/people-memories/scripts/people_memory.py reminders --days 0 --window 7 --format message` each morning and delivers the resulting digest over Telegram so you’re nudged about the next week’s birthdays/anniversaries without manual effort. If you prefer a different cadence or channel, rerun the command yourself or update the schedule.

## Enhancements in this version
1. **Smart indexing** – Tags + keyword extraction keep the lookup index updated so searches find matching people even when you reuse adjectives.
2. **Summaries & exports** – Quickly produce a fact card or shareable Markdown/JSON of anyone’s notes.
3. **Voice integration + logging** – transcripts feed the database so you don’t type commands manually.
4. **Structured data** – normalized keys + timestamps plus tag metadata make it easy for other tools (cron, dashboards) to consume the memory store.

## Next steps / nice-to-haves
- Add optional confirmation responses “Noted, saved for Alex.” via the runtime `api.message` helper.
- Integrate with reminders/cron so tagged notes like `birthday` trigger alerts.
- Build a simple watch UI (web or terminal) that previews the latest people cards.

Let me know which direction to automate next (priority filters, notifications, cross-agent sync, etc.)."}

---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/people-memories/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/people-memories/SKILL.md
Attribution basis: Source repository record

Fields of work: Human Resources, Project & Program Management, Sales, Customer Support
Roles: Community Manager, Customer Success Manager, HR Generalist, Project Manager, Support Agent
Specialties: Specialty not specified
Tools: Telegram, Voice Chat
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: d5b6302f69981756a8a53e2f0a8243f886504d7f0c3c0e40b6f596f63cccbdd6
