MCPInstall

dream-memory

by learnpromptAI & Agents

Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.

Installs
74
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/learnprompt/cc-harness-skills --skill dream-memory
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dream-memory automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Dream Memory

Use this skill when you want a deliberate memory-consolidation pass instead of storing more raw notes.

This bundle is intentionally portable. It borrows the workflow shape from Claude Code's dream system, but it does not depend on Claude Code internals.

Use It For

  • nightly or manual memory cleanup
  • merging overlapping memory notes
  • normalizing relative dates into absolute dates
  • pruning stale or contradicted memories
  • keeping MEMORY.md small and index-like

Avoid It For

  • saving a single new memory from the current turn
  • persisting code facts that should be re-read from source
  • replacing plans, task boards, or issue trackers

Quick Start

Inspect a memory directory before running the consolidation prompt:

python3 {baseDir}/scripts/dream_memory.py --memory-root /path/to/memory --transcripts-dir /path/to/transcripts

Then use the portable prompt in references/prompt-template.md.

Workflow

  1. Inspect MEMORY.md, topic files, and recent logs or transcripts.
  2. Identify durable facts worth keeping.
  3. Merge into topic files instead of creating near-duplicates.
  4. Remove stale or contradicted memory.
  5. Rewrite MEMORY.md as a concise index.

Rules

  • MEMORY.md is an index, not a content dump.
  • Prefer topic merges over new file creation.
  • Convert relative dates to absolute dates.
  • Do not store code-state facts that can drift.

Supporting Files

  • Prompt template: references/prompt-template.md
  • Source notes: references/source-notes.md
  • Helper script: python3 {baseDir}/scripts/dream_memory.py ...

FAQ

What does the dream-memory skill do?

Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.

How do I install dream-memory?

Run npx skills add https://github.com/learnprompt/cc-harness-skills --skill dream-memory in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dream-memory/ (personal) or .claude/skills/dream-memory/ (project).

Which AI agents can use dream-memory?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dream-memory safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dream-memory?

It is published by learnprompt in learnprompt/cc-harness-skills. It has 74 recorded installs.

More from learnprompt/cc-harness-skills

View all →

verification-gate

learnprompt/cc-harness-skills

Open the skill to read its SKILL.md instructions.

72 installs

memory-extractor

learnprompt/cc-harness-skills

Open the skill to read its SKILL.md instructions.

68 installs

structured-context-compressor

learnprompt/cc-harness-skills

Open the skill to read its SKILL.md instructions.

68 installs

kairos-lite

learnprompt/cc-harness-skills

Open the skill to read its SKILL.md instructions.

64 installs

swarm-coordinator

learnprompt/cc-harness-skills

Open the skill to read its SKILL.md instructions.

53 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs