Agent skill

Recall Memory

by clacky-ai in clacky-ai/openclacky

Recall relevant long-term memories on demand. An agent skill from clacky-ai/openclacky.

MITAuto-check passedAgent Workflows

Install Recall Memory

skills CLI
$ npx skills add clacky-ai/openclacky --skill recall-memory -a claude-code

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

GitHub CLI
$ gh skill install clacky-ai/openclacky recall-memory --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/clacky-ai/openclacky.git skills-src && mkdir -p .claude/skills && cp -r skills-src/lib/clacky/default_skills/recall-memory .claude/skills/recall-memory && 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
recall-memory
GitHub stars
1.2k
Token cost
~466 tokens
SKILL.md length
178 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Recall relevant long-term memories on demand. An agent skill from clacky-ai/openclacky.

  • Works in 2 steps: Judge relevance → Load relevant files and return
  • Tasks that involve Agent memory
  • SKILL.md covers Available Memory Files, Your Workflow — follow strictly and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Recall Memory is an agent skill from clacky-ai/openclacky. Recall relevant long-term memories on demand. Given a topic or question, judges relevance from pre-loaded metadata, loads only relevant files, and returns a concise summary to the main agent.

Its SKILL.md is about 470 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, covering Agent memory. The repository describes itself as: The most Token-efficient open-source AI Agent. The licence is MIT.

When your agent uses it

  • Tasks that involve Agent memory

Example prompts

  • “/recall-memory”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Judge relevance
  2. Load relevant files and return

What it can do on your machine

Read from SKILL.md and the folder at commit e16b639. 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

Recall Memory loads about 466 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 178 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~466

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 clacky-ai/openclacky at commit e16b639, republished under its MIT licence (© clacky-ai). 178 words, ~466 tokens.

Download SKILL.mdSave it as .claude/skills/recall-memory/SKILL.md (or your agent's skills folder).
name
recall-memory
description
Recall relevant long-term memories on demand. Given a topic or question, judges relevance from pre-loaded metadata, loads only relevant files, and returns a concise summary to the main agent.
name_zh
回忆记忆
description_zh
按主题从长期记忆中找出相关内容并整理成摘要。
fork_agent
true
user-invocable
false
auto_summarize
true
forbidden_tools
write, edit, web_search, web_fetch, browser

Recall Memory Subagent

You are a Memory Recall Subagent. Your sole job is to find and return relevant long-term memories for the main agent.

Available Memory Files

The following memory files exist in ~/.clacky/memories/. This list was pre-loaded for you — do NOT re-scan the directory.

<%= memories_meta %>

Your Workflow — follow strictly

Step 1: Judge relevance

From the list above, decide which files are relevant to the task/topic passed to you.

Rules:

  • Match by topic and description against the requested task
  • If nothing matches, immediately return: "No relevant memories found for: <task>"
  • Do NOT load files that are clearly irrelevant
Step 2: Load relevant files and return

For each relevant file:

  1. Read the full content:
file_reader(path: "~/.clacky/memories/<filename>")
  1. Touch the file to update its mtime (LRU signal — keeps it surfaced in future recalls):
terminal(command: "touch ~/.clacky/memories/<filename>")

Return ONLY the memory content, structured as:

## Recalled Memories: <task>

### <Topic Name>
<content verbatim or lightly summarized if very long>

Rules

  • NEVER modify any files
  • NEVER load irrelevant files — keep output minimal and focused
  • NEVER add commentary beyond the memory content itself
  • If a file exceeds 1000 tokens of content, summarize the least important parts
  • Stop immediately after returning the summary

© clacky-ai, 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 lib/clacky/default_skills/recall-memory of clacky-ai/openclacky.

Open the folder on GitHubat commit e16b639

Compare with similar skills

Recall Memory 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.

Recall Memory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Recall Memory this skillclacky-ai/openclacky1.2k—~466Automated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins11k5 repos~1.2kAutomated safety check: PassNone
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Compound Learning WriterEveryInc/compound-engineering-plugin25k—~2kAutomated safety check: PassMIT

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    59k GitHub stars~1.4k tokensUpdated today
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Categories

Questions about Recall Memory

What does Recall Memory do?

Recall relevant long-term memories on demand. An agent skill from clacky-ai/openclacky. Recall Memory is an agent skill from clacky-ai/openclacky. Recall relevant long-term memories on demand.

When should I use Recall Memory?

Recall Memory fits situations like: tasks that involve Agent memory.

How do I install Recall Memory in Claude Code?

Run `npx skills add clacky-ai/openclacky --skill recall-memory -a claude-code`. Or copy the skill folder (lib/clacky/default_skills/recall-memory in clacky-ai/openclacky) into .claude/skills/recall-memory in your project. Claude Code loads it when a task matches its description.

How do I install Recall Memory in Codex?

Run `npx skills add clacky-ai/openclacky --skill recall-memory -a codex`. Or copy the skill folder (lib/clacky/default_skills/recall-memory in clacky-ai/openclacky) into .agents/skills/recall-memory in your project. Codex loads it when a task matches its description.

Can I use Recall Memory 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 clacky-ai/openclacky --skill recall-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recall-memory, .gemini/skills/recall-memory, .github/skills/recall-memory and .opencode/skills/recall-memory in your project.

What does Recall Memory need to run?

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

Does Recall Memory 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 Recall Memory 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 Recall Memory use?

Recall Memory 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 Recall Memory use?

About 466 tokens (SKILL.md is roughly 1.9k 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 Recall Memory?

Skills that share tags, products or a category with Recall Memory: Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars), Reflect on Session Learnings (cursor/plugins, 11k stars) and MemPalace Memory Search (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 Recall Memory?

clacky-ai (a GitHub organization) maintains it in clacky-ai/openclacky, which has 1,204 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 10, 2026.

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