How do I install the Memory skill?

Run npx skillmds@latest add cutec-chris/memory in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Memory safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Memory?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Memory free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Memory?

cutec-chris (@cutec-chris) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Memory by cutec-chris — Agent Skill

Name: Memory
Author: cutec-chris

Memory

Long-term memory — search everything from past conversations. ALWAYS use this skill when the user: asks what was said before, references earlier conversations, wants to know or remember something from the past, asks "what did I/we/you say about...", "do you remember...", "have we talked about...", "what was that thing about...", or any question that requires knowledge from previous days/sessions. Also use when YOU are unsure whether a topic was discussed before. Commands: "index" to reindex, "status" to check index state, "dream" to trigger wiki consolidation, "lint" for wiki health check.

cutec-chris ed1bb53 4 files · 14.2 KB Updated Sep 17, 2026

File contents

Memory Skill

How to use

The query is either a search question or a management command. Run via the Bash tool. The user ID is automatically provided via the PAWLIA_USER_ID environment variable — do NOT pass it manually.

python <scripts_dir>/memory.py search "<question>"
python <scripts_dir>/memory.py index
python <scripts_dir>/memory.py dream
python <scripts_dir>/memory.py lint
python <scripts_dir>/memory.py status

Commands

Command	Bash call	Description
search	`python <scripts_dir>/memory.py search "<question>"`	Semantic search across all past conversations
index	`python <scripts_dir>/memory.py index`	Index any new/updated daily chat logs
dream	`python <scripts_dir>/memory.py dream`	Trigger Dream Wiki: process chat logs into structured wiki pages
lint	`python <scripts_dir>/memory.py lint`	Wiki health check: merge overlapping pages, fix missing links
status	`python <scripts_dir>/memory.py status`	Show how many days are indexed

Step-by-step instructions

Determine if the query is a command (index, status, dream, lint) or a search question.
For search questions, use the search command with the user's question.
Run the command using the Bash tool.
Return the result — for searches, present the relevant information naturally.

Important

Every search keyword-scans the full daily-log history straight from the chat logs (no index needed), so any past conversation is recallable — today's, a call/file from minutes ago, and threads from weeks back that were never distilled into the wiki. Only threads that actually share keywords with the question are returned; if nothing matches you get a clear "nothing found" instead of unrelated context.
On top of that, search queries the distilled long-term wiki for consolidated knowledge. Background indexing/dreaming runs automatically on idle — you do not need to index before a search.
Search results contain relevant excerpts from past conversations — use them to answer the user's question.
The dream command processes unprocessed chat logs into a structured wiki with cross-references (Obsidian wikilinks by default, configurable via wiki_link_format).
The Dream Wiki runs automatically when the user has been idle for 30 minutes (configurable via dream_idle_minutes).

---name: memorydescription: Long-term memory — search everything from past conversations. ALWAYS use this skill when the user: asks what was said before, references earlier conversations, wants to know or remember something from the past, asks "what did I/we/you say about...", "do you remember...", "have we talked about...", "what was that thing about...", or any question that requires knowledge from previous days/sessions. Also use when YOU are unsure whether a topic was discussed before. Commands: "index" to reindex, "status" to check index state, "dream" to trigger wiki consolidation, "lint" for wiki health check.license: MIT---# Memory Skill## How to useThe query is either a search question or a management command. Run via the Bash tool.The user ID is automatically provided via the `PAWLIA_USER_ID` environment variable — do NOT pass it manually.```python <scripts_dir>/memory.py search "<question>"python <scripts_dir>/memory.py indexpython <scripts_dir>/memory.py dreampython <scripts_dir>/memory.py lintpython <scripts_dir>/memory.py status```### Commands| Command | Bash call | Description ||---------|-----------|-------------|| search | `python <scripts_dir>/memory.py search "<question>"` | Semantic search across all past conversations || index | `python <scripts_dir>/memory.py index` | Index any new/updated daily chat logs || dream | `python <scripts_dir>/memory.py dream` | Trigger Dream Wiki: process chat logs into structured wiki pages || lint | `python <scripts_dir>/memory.py lint` | Wiki health check: merge overlapping pages, fix missing links || status | `python <scripts_dir>/memory.py status` | Show how many days are indexed |## Step-by-step instructions1. Determine if the query is a command (`index`, `status`, `dream`, `lint`) or a search question.2. For search questions, use the `search` command with the user's question.3. Run the command using the **Bash** tool.4. Return the result — for searches, present the relevant information naturally.## Important- Every `search` keyword-scans the **full** daily-log history straight from the chat logs (no index needed), so any past conversation is recallable — today's, a call/file from minutes ago, and threads from weeks back that were never distilled into the wiki. Only threads that actually share keywords with the question are returned; if nothing matches you get a clear "nothing found" instead of unrelated context.- On top of that, `search` queries the distilled long-term wiki for consolidated knowledge. Background indexing/dreaming runs automatically on idle — you do not need to `index` before a `search`.- Search results contain relevant excerpts from past conversations — use them to answer the user's question.- The `dream` command processes unprocessed chat logs into a structured wiki with cross-references (Obsidian wikilinks by default, configurable via `wiki_link_format`).- The Dream Wiki runs automatically when the user has been idle for 30 minutes (configurable via `dream_idle_minutes`).

Frequently asked questions