memory-dream

memory-dream is a skill for Claude Code, Codex from mem0ai/mem0. It costs 58 tokens per session (1,320 once invoked), scanned A, original, Apache-2.0.

A cleanup process for stored agent memories. It reviews saved information, combines duplicates, removes noise and exposed credentials, clarifies unclear entries, and expires entries past their time limit.

In plain words
What is it for?
Use it to review or consolidate memories, remove duplicate or unsafe entries, improve unclear notes, and apply expiration rules.
Why use it?
It keeps long-term memory useful and reduces clutter, repetition, outdated information, and sensitive data.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mem0ai/mem0/memory-dream
Any agent
npx skills add mem0ai/mem0 --skill memory-dream
Clone the repo
git clone --depth 1 https://github.com/mem0ai/mem0

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for memory-dream

README.md
[![agentmods](https://agentmods.dev/badge/skills/mem0ai/mem0/memory-dream.svg)](https://agentmods.dev/skills/mem0ai/mem0/memory-dream)
Your own site
<a href="https://agentmods.dev/skills/mem0ai/mem0/memory-dream"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/memory-dream.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,320 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00058 $0.01320
Opus 5 $0.00029 $0.00660
Sonnet 5 $0.00012 $0.00264
Haiku 4.5 $0.00006 $0.00132

Measured 4d ago against content hash 1f7abb2151b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-dream scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

integrations/openclaw/skills/memory-dream/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Consolidation

You are performing a memory consolidation pass. Your goal is to review all stored memories for this user and improve their overall quality. Think of this as compressing raw observations into clean, durable knowledge.

Available Tools

memory_search

Semantic search across stored memories.

  • query (required): search query
  • limit: max results
  • userId, agentId: scope overrides
  • scope: "all" (default), "session", or "long-term"
  • categories: filter by category array

memory_add

Store new facts in long-term memory.

  • facts (required): array of facts — ALL must share the same category
  • category: "identity", "preference", "decision", "rule", "project", "configuration", "technical", "relationship"
  • importance: 0.0–1.0

memory_get

Retrieve a single memory by ID.

  • memoryId (required): the memory ID

memory_list

List all stored memories for a user or agent.

  • userId, agentId: scope overrides
  • scope: "all" (default), "session", or "long-term"

memory_update

Update an existing memory's text in place. Atomic and preserves edit history.

  • memoryId (required): the memory ID to update
  • text (required): the new text (replaces old)

memory_delete

Delete memories by ID, query, or bulk.

  • memoryId: specific memory ID to delete
  • all: delete ALL memories (requires confirm: true)
  • userId, agentId: scope overrides

memory_event_list

List recent background processing events (platform mode only).

memory_event_status

Get status of a specific background event.

  • event_id (required): the event ID to check

Follow these four phases in order. Do not skip phases.

Phase 1: Orient

Survey the current memory landscape before making any changes.

  1. Call memory_list to load all stored memories.
  2. Count memories by category. Note the total.
  3. Identify the oldest and newest memories by their timestamps.
  4. Note any obvious problems visible in the list: duplicates, very short entries, entries without temporal anchors.

Read the full file on GitHub · 151 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 151 lines · 58 tokens per session scan A 1f7abb2151b7

Subscribe to this mod's changes

memory-dream is a skill published in the GitHub repository mem0ai/mem0 (64,662 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 1,320 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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