Memori Long-Term Memory
MemoriLabs/Memori
Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
Reorganizes an overgrown MEMORY.md into a short pointer index plus separate topic files, and fixes or deletes outdated memories instead of archiving them.
Install MEMORY.md Restructuring
$ npx skills add simbajigege/book2skills --skill agent-memory-implementation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install simbajigege/book2skills agent-memory-implementation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/simbajigege/book2skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-memory-implementation .claude/skills/agent-memory-implementation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-memory-implementation" agent skill from https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementation into .claude/skills/agent-memory-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-implementation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add simbajigege/book2skills --skill agent-memory-implementation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install simbajigege/book2skills agent-memory-implementation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simbajigege/book2skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent-memory-implementation .agents/skills/agent-memory-implementation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-memory-implementation" agent skill from https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementation into .agents/skills/agent-memory-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-implementation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add simbajigege/book2skills --skill agent-memory-implementation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install simbajigege/book2skills agent-memory-implementation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simbajigege/book2skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent-memory-implementation .cursor/skills/agent-memory-implementation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-memory-implementation" agent skill from https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementation into .cursor/skills/agent-memory-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-implementation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/simbajigege/book2skills.git --path skills/agent-memory-implementation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add simbajigege/book2skills --skill agent-memory-implementation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install simbajigege/book2skills agent-memory-implementation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simbajigege/book2skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent-memory-implementation .gemini/skills/agent-memory-implementation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-memory-implementation" agent skill from https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementation into .gemini/skills/agent-memory-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-implementation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install simbajigege/book2skills agent-memory-implementationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add simbajigege/book2skills --skill agent-memory-implementation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/simbajigege/book2skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent-memory-implementation .github/skills/agent-memory-implementation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-memory-implementation" agent skill from https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementation into .github/skills/agent-memory-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-implementation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add simbajigege/book2skills --skill agent-memory-implementation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install simbajigege/book2skills agent-memory-implementation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simbajigege/book2skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent-memory-implementation .opencode/skills/agent-memory-implementation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-memory-implementation" agent skill from https://github.com/simbajigege/book2skills/tree/main/skills/agent-memory-implementation into .opencode/skills/agent-memory-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-implementation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agent-memory-implementation- GitHub stars
- 184
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,001 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 37
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Reorganizes an overgrown MEMORY.md into a short pointer index plus separate topic files, and fixes or deletes outdated memories instead of archiving them.
- Works in 5 steps: Audit what exists → Classify each entry → Restructure → …
- MEMORY.md has grown past 200 lines
- SKILL.md covers The 2-Layer Architecture, How Claude Code Writes…, Memory Type Definitions and Restructuring Process, plus 1 more section
- Runs Python scripts from its folder
What it does
The skill reshapes an agent's memory directory into two layers modeled on how Claude Code's autoDream service works. Layer one is MEMORY.md, a pointer-only index that is loaded every time and kept to about 200 lines, each entry being a one-line link with a short hook. Layer two is a set of topic files with YAML frontmatter holding name, description and type, which are read only when relevant.
There is no archive layer: stale, superseded or contradicted memories are deleted or corrected in place, so the folder always shows the current truth. The skill also explains how Claude Code's background extraction agent writes memories after each query loop, so your restructuring does not fight it. An audit script (scripts/memory_audit.py) and a reference of memory type definitions ship alongside it.
When your agent uses it
- MEMORY.md has grown past 200 lines
- Index entries contain full paragraphs instead of one-line pointers
- Index entries and topic content are mixed in the same file
- Memory notes contradict each other or describe things that are no longer true
Example prompts
- “Reorganize my memory files so MEMORY.md is only an index of pointers.”
- “Clean up MEMORY.md, half of it is outdated project notes.”
- “Move the long paragraphs in MEMORY.md into topic files and leave one-line links behind.”
Requirements
- An existing MEMORY.md and memory directory to restructure
- Python to run scripts/memory_audit.py
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Audit what exists
- Classify each entry
- Restructure
- Verify
- Report
What it can do on your machine
Read from SKILL.md and the folder at commit e5ba66c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
MEMORY.md Restructuring loads about 2.4k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 156 tokens; SKILL.md has 1,001 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,001 words (~2,356 tokens).
“Restructures memory files into the 2-layer architecture that Claude Code's autoDream service uses internally — designed to keep the always-loaded index small while making deeper knowledge accessible on demand.”
- name
- agent-memory-implementation
- license
- Skill implementation guide for personal/educational use.
Files
SKILL.md and 4 other files (scripts, references) in skills/agent-memory-implementation of simbajigege/book2skills.
- SKILL.md
- LICENSE.txt
- README.md
- references/memory-type-definitions.md
- scripts/memory_audit.py
Open the folder on GitHubat commit e5ba66c
Compare with similar skills
MEMORY.md Restructuring next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| MEMORY.md Restructuring this skillsimbajigege/book2skills | 184 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Memori Long-Term MemoryMemoriLabs/Memori | 17k | — | ~2k | Automated safety check: Notes | Custom licence | |
| Memori Long-Term MemoryMemoriLabs/Memori | 17k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Recall for Planningopen-gsd/gsd-core | 10k | 1 repos | ~1.5k | Automated safety check: Notes | MIT | |
| Planning with FilesOthmanAdi/planning-with-files | 27k | — | ~2.9k | Automated safety check: Pass | MIT | |
| User Thoughts Memorysickn33/agentic-awesome-skills | 47k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
Similar skills
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MemPalace Recall for Planning
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Planning with Files
OthmanAdi/planning-with-files
Keeps a task plan, findings and progress log in markdown files on disk so long agent tasks survive context resets, with Gemini hooks and helper scripts.
User Thoughts Memory
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
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Related
Categories
Questions about MEMORY.md Restructuring
What does MEMORY.md Restructuring do?
Reorganizes an overgrown MEMORY.md into a short pointer index plus separate topic files, and fixes or deletes outdated memories instead of archiving them. The skill reshapes an agent's memory directory into two layers modeled on how Claude Code's autoDream service works.md, a pointer-only index that is loaded every time and kept to about 200 lines, each entry being a one-line link with a short hook.
When should I use MEMORY.md Restructuring?
MEMORY.md Restructuring fits situations like: MEMORY.md has grown past 200 lines; index entries contain full paragraphs instead of one-line pointers; index entries and topic content are mixed in the same file; memory notes contradict each other or describe things that are no longer true.
How do I install MEMORY.md Restructuring in Claude Code?
Run `npx skills add simbajigege/book2skills --skill agent-memory-implementation -a claude-code`. Or copy the skill folder (skills/agent-memory-implementation in simbajigege/book2skills) into .claude/skills/agent-memory-implementation in your project. Claude Code loads it when a task matches its description.
How do I install MEMORY.md Restructuring in Codex?
Run `npx skills add simbajigege/book2skills --skill agent-memory-implementation -a codex`. Or copy the skill folder (skills/agent-memory-implementation in simbajigege/book2skills) into .agents/skills/agent-memory-implementation in your project. Codex loads it when a task matches its description.
Can I use MEMORY.md Restructuring in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add simbajigege/book2skills --skill agent-memory-implementation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-memory-implementation, .gemini/skills/agent-memory-implementation, .github/skills/agent-memory-implementation and .opencode/skills/agent-memory-implementation in your project.
What does MEMORY.md Restructuring need to run?
Going by SKILL.md and its folder, MEMORY.md Restructuring needs Python for the scripts in its folder. Our summary lists: An existing MEMORY.md and memory directory to restructure; Python to run scripts/memory_audit.py.
Does MEMORY.md Restructuring access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is MEMORY.md Restructuring safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does MEMORY.md Restructuring use?
MEMORY.md Restructuring has a licence file (from the LICENSE file in the skill folder) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does MEMORY.md Restructuring use?
About 2.4k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.
What are the alternatives to MEMORY.md Restructuring?
Skills that share tags, products or a category with MEMORY.md Restructuring: Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), MemPalace Recall for Planning (open-gsd/gsd-core, 10k stars) and Planning with Files (OthmanAdi/planning-with-files, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains MEMORY.md Restructuring?
simbajigege (a GitHub user) maintains it in simbajigege/book2skills, which has 184 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on August 26, 2026.
Source: simbajigege/book2skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.