Agent skill

Memo

by AIOSAI in AIOSAI/AIPass

Update branch memory files after completing work. An agent skill from AIOSAI/AIPass.

MITAuto-check passedAgent Workflows

Install Memo

skills CLI
$ npx skills add AIOSAI/AIPass --skill memo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AIOSAI/AIPass memo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AIOSAI/AIPass.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/memo .claude/skills/memo && rm -rf skills-src

Use ~/.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/

Facts

Skill name
memo
GitHub stars
288
Token cost
~597 tokens
SKILL.md length
296 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Update branch memory files after completing work. An agent skill from AIOSAI/AIPass.

  • Works in 4 steps: Read .trinity/passport.json first —… → Review what was done this session… → Update each file below as needed → …
  • Agent Workflows work in your project
  • SKILL.md covers Execution and What to Update
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Memo is an agent skill from AIOSAI/AIPass. Update branch memory files after completing work. Saves session history, key learnings, and collaboration observations to .trinity/ files.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. It works with Python. The repository describes itself as: Persistent Agent Workspace — AI agents that remember, collaborate, and never start from zero. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/memo”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read .trinity/passport.json first — re-absorb your identity, role, and principles before writing memories
  2. Review what was done this session (context, recent changes, key decisions)
  3. Update each file below as needed
  4. Confirm completion — list files updated

What it can do on your machine

Read from SKILL.md and the folder at commit 18fe75a. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Memo loads about 597 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 296 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~597

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from AIOSAI/AIPass at commit 18fe75a, republished under its MIT licence (© AIOSAI). 296 words, ~597 tokens.

Download SKILL.mdSave it as .claude/skills/memo/SKILL.md (or your agent's skills folder).
name
memo
description
Update branch memory files after completing work. Saves session history, key learnings, and collaboration observations to .trinity/ files.

Memory Update

Purpose: Update branch memory files after completing work this session.

Execution

  1. Read .trinity/passport.json first — re-absorb your identity, role, and principles before writing memories
  2. Review what was done this session (context, recent changes, key decisions)
  3. Update each file below as needed
  4. Confirm completion — list files updated

What to Update

Always
  • .trinity/local.json — Add a session entry to sessions if significant work was done; add key_learnings for facts you'd need next time. Todos: add what you parked, and DELETE every todo you finished this session — the proof goes in the session entry, not the todo. Rollover never trims todos (they're operational), so done ones you leave behind resurface as "open" next load and you waste time re-confirming them.
  • .trinity/observations.json — Add notable collaboration insights: breakthrough moments, pattern corrections, flow states, friction points, preference discoveries. Skip if nothing notable this session.
Entry shape — one rule for all four types

key_learnings, sessions, todos (local.json) and observations (observations.json) all share ONE shape: a list of objects, newest at the top (index 0). Every entry carries a number (monotonic int per type — highest = newest, never reused; new = current max + 1) and a date (ISO), plus its text field + extras: key_learnings {number, date, key, value} · sessions {number, date, summary, status, tags} · todos {number, date, task, priority, status} · observations {number, date, note, tags}.

When adding: stamp number + date, then prepend (newest on top). Don't hand-trim sessions/key_learnings/observations — rollover archives the oldest by number to @memory automatically. Todos are the exception — rollover never touches them, so you prune done ones by hand (delete finished todos, see above).

If Relevant
  • .trinity/passport.json — Evolve identity when the branch's role, capabilities, or principles have genuinely changed. Don't update just to update — but don't leave placeholders forever either.
  • README.md — Does it reflect current state? Update if stale.

© AIOSAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/memo of AIOSAI/AIPass.

Open the folder on GitHubat commit 18fe75a

Compare with similar skills

Memo 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.

Memo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memo this skillAIOSAI/AIPass288—~597Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
Mem0 CLI Memory Commandsmem0ai/mem067k—~2kAutomated safety check: NotesApache-2.0
MemPalace Setup and OperationMemPalace/mempalace59k—~2.2kAutomated safety check: PassMIT
Google Antigravity SDKgoogle-antigravity/antigravity-sdk-python3.7k—~2.1kAutomated safety check: NotesApache-2.0

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 63 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • MCP Server Builder

    shareAI-lab/learn-claude-code

    Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.

    78k GitHub starsUsed in 4 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.

    67k GitHub stars~2k tokensUpdated yesterday
    Agent WorkflowsAuto-check: notes
  • Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.

    59k GitHub stars~2.2k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Google Antigravity SDK

    google-antigravity/antigravity-sdk-python

    Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK.

    3.7k GitHub stars~2.1k tokensUpdated 2 days ago
    Agent WorkflowsAuto-check: notes
  • Official

    Runs a nightly or on-demand sleep cycle for a local Codex agent: review past sessions, replay recurring tasks and stage validated skill and memory edits for adoption.

    18k GitHub stars~2.3k tokensUpdated 3 days ago
    Agent WorkflowsAuto-check passed

More from AIOSAI/AIPass

  • Prep

    AIOSAI/AIPass

    Session wrap-up. An agent skill from AIOSAI/AIPass.

    288 GitHub stars~880 tokensUpdated 5 days ago
    Auto-check passed
  • Telegram

    AIOSAI/AIPass

    Multi-bot Telegram bridge — routes messages between Telegram and Claude tmux sessions

    288 GitHub stars~4.9k tokensUpdated 5 days ago
    Auto-check passed

Works with

Categories

Questions about Memo

What does Memo do?

Update branch memory files after completing work. An agent skill from AIOSAI/AIPass. Memo is an agent skill from AIOSAI/AIPass. Update branch memory files after completing work.

When should I use Memo?

Memo fits situations like: agent Workflows work in your project.

How do I install Memo in Claude Code?

Run `npx skills add AIOSAI/AIPass --skill memo -a claude-code`. Or copy the skill folder (.codex/skills/memo in AIOSAI/AIPass) into .claude/skills/memo in your project. Claude Code loads it when a task matches its description.

How do I install Memo in Codex?

Run `npx skills add AIOSAI/AIPass --skill memo -a codex`. Or copy the skill folder (.codex/skills/memo in AIOSAI/AIPass) into .agents/skills/memo in your project. Codex loads it when a task matches its description.

Can I use Memo 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 AIOSAI/AIPass --skill memo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memo, .gemini/skills/memo, .github/skills/memo and .opencode/skills/memo in your project.

What does Memo need to run?

SKILL.md names no scripts, command-line tools or credentials: Memo is instructions for the agent only.

Does Memo 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 Memo 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. Review the folder before installing.

What licence does Memo use?

Memo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memo use?

About 597 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memo?

Skills that share tags, products or a category with Memo: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), Mem0 CLI Memory Commands (mem0ai/mem0, 67k stars) and MemPalace Setup and Operation (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memo?

AIOSAI (a GitHub user) maintains it in AIOSAI/AIPass, which has 288 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 5, 2026.

Source: AIOSAI/AIPass on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.