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Agent skill

Hipocampus Recall

by kevin-hs-sohn in kevin-hs-sohn/hipocampus

Memory recall guide. An agent skill from kevin-hs-sohn/hipocampus.

MITAuto-check passedAgent Workflows

Install Hipocampus Recall

skills CLI
$ npx skills add kevin-hs-sohn/hipocampus --skill hipocampus-recall -a claude-code

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

GitHub CLI
$ gh skill install kevin-hs-sohn/hipocampus hipocampus-recall --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/kevin-hs-sohn/hipocampus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recall .claude/skills/hipocampus-recall && 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
hipocampus-recall
GitHub stars
210
Token cost
~719 tokens
SKILL.md length
374 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Memory recall guide. An agent skill from kevin-hs-sohn/hipocampus.

  • Works in 3 steps: ROOT.md Triage (O(1) — always try first) → Manifest-Based LLM Selection (when… → qmd Search (fallback)
  • Agent Workflows work in your project
  • SKILL.md covers Step 1: ROOT.md Triage (O(1) —…, Step 2: Manifest-Based LLM…, Step 3: qmd Search (fallback) and Freshness Warnings, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hipocampus Recall is an agent skill from kevin-hs-sohn/hipocampus. Memory recall guide. Structured retrieval from hipocampus memory — ROOT.md triage, manifest-based LLM selection, qmd search fallback.

Its SKILL.md is about 720 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. The repository describes itself as: Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/hipocampus-recall”

Workflow steps

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

  1. ROOT.md Triage (O(1) — always try first)
  2. Manifest-Based LLM Selection (when ROOT.md is insufficient)
  3. qmd Search (fallback)

What it can do on your machine

Read from SKILL.md and the folder at commit df88ca1. 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 (its code samples are bash).

    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

Hipocampus Recall loads about 719 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~719

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 kevin-hs-sohn/hipocampus at commit df88ca1, republished under its MIT licence (© kevin-hs-sohn). 374 words, ~719 tokens.

Download SKILL.mdSave it as .claude/skills/hipocampus-recall/SKILL.md (or your agent's skills folder).
name
hipocampus-recall
description
Memory recall guide. Structured retrieval from hipocampus memory — ROOT.md triage, manifest-based LLM selection, qmd search fallback.

Memory Recall Protocol

Use this when the user's question may relate to past memory. Three-step fallback: ROOT.md O(1) lookup → manifest LLM selection → qmd search.

Step 1: ROOT.md Triage (O(1) — always try first)

Check ROOT.md Topics Index for the query topic.

  • Direct match found → read the referenced file (knowledge/, daily log date, etc.). Done.
  • Partial match / related topic found → read referenced file, check if it answers the query. Done if yes.
  • No match at all → proceed to Step 2.

Decision rule: If Topics Index contains a keyword within 1 semantic hop of the query, it's a match. "배포" matches "deployment". "CI/CD" matches "github-actions".

Step 2: Manifest-Based LLM Selection (when ROOT.md is insufficient)

Use this ONLY when ROOT.md Topics Index has no relevant match but you suspect memory may exist (e.g., the user references something that sounds familiar, or the topic is cross-domain).

  1. Build manifest from compaction node frontmatter (NOT full content):

    • Read memory/weekly/*.md frontmatter only (type, period, topics)
    • Read memory/monthly/*.md frontmatter only (type, period, topics)
    • Read knowledge/*.md first 3 lines only
    • Skip memory/daily/ (already rolled up into weekly)

  2. Self-evaluate: Given the manifest and the user's query, select up to 5 most relevant files.

  3. Load selected files in full and extract the answer.

Token budget: Manifest should be <500 tokens. If too large, use monthly nodes only.

Show full SKILL.md (156 more words)Show less

Step 3: qmd Search (fallback)

If Step 1-2 don't find the answer and qmd is installed:

bash
qmd query "keyword1 keyword2"      # hybrid (BM25 + vector)
qmd search "keyword1 keyword2"     # BM25 only
qmd vsearch "semantic query"       # vector only

Use 2-4 specific keywords. Try variations if first query misses.

Freshness Warnings

When recalling memory, check the source age:

  • project type + >30 days old: append warning — "이 정보는 {N}일 전 기록입니다. 현재 상태를 확인하세요."
  • reference type + [?] marker: append warning — "이 참조는 검증되지 않았습니다. 접근 가능 여부를 확인하세요."
  • user/feedback type: no age warning (these are durable).

When NOT to Use Recall

  • If the answer is clearly in ROOT.md Active Context → just use it directly
  • If the question is about code/files → read the code, don't search memory
  • If the question is about git history → use git log, not memory

Key Principles

  • ROOT.md O(1) triage is the primary path — Step 2/3 are fallbacks
  • Never load full content in Step 2 manifest phase — frontmatter only
  • Manifest LLM selection leverages semantic understanding (solves keyword mismatch)
  • Minimize token usage: most recalls should resolve at Step 1

© kevin-hs-sohn, 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 skills/recall of kevin-hs-sohn/hipocampus.

Open the folder on GitHubat commit df88ca1

Compare with similar skills

Hipocampus Recall 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.

Hipocampus Recall compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hipocampus Recall this skillkevin-hs-sohn/hipocampus210—~719Automated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Copilot Session Failure Analysisdotnet/maui23k—~3.4kAutomated safety check: PassMIT
Mem0 CLI Memory Commandsmem0ai/mem067k—~2kAutomated safety check: NotesApache-2.0
Create Agentvectorize-io/hindsight48k—~1.1kAutomated safety check: PassMIT
Google Antigravity SDKgoogle-antigravity/antigravity-sdk-python3.7k—~2.1kAutomated safety check: NotesApache-2.0

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More from kevin-hs-sohn/hipocampus

All 8 skills in this repo

  • Hipocampus Compaction

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Categories

Questions about Hipocampus Recall

What does Hipocampus Recall do?

Memory recall guide. An agent skill from kevin-hs-sohn/hipocampus. Hipocampus Recall is an agent skill from kevin-hs-sohn/hipocampus. Memory recall guide.

When should I use Hipocampus Recall?

Hipocampus Recall fits situations like: agent Workflows work in your project.

How do I install Hipocampus Recall in Claude Code?

Run `npx skills add kevin-hs-sohn/hipocampus --skill hipocampus-recall -a claude-code`. Or copy the skill folder (skills/recall in kevin-hs-sohn/hipocampus) into .claude/skills/hipocampus-recall in your project. Claude Code loads it when a task matches its description.

How do I install Hipocampus Recall in Codex?

Run `npx skills add kevin-hs-sohn/hipocampus --skill hipocampus-recall -a codex`. Or copy the skill folder (skills/recall in kevin-hs-sohn/hipocampus) into .agents/skills/hipocampus-recall in your project. Codex loads it when a task matches its description.

Can I use Hipocampus Recall 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 kevin-hs-sohn/hipocampus --skill hipocampus-recall -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hipocampus-recall, .gemini/skills/hipocampus-recall, .github/skills/hipocampus-recall and .opencode/skills/hipocampus-recall in your project.

What does Hipocampus Recall need to run?

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

Does Hipocampus Recall 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 Hipocampus Recall 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 Hipocampus Recall use?

Hipocampus Recall 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 Hipocampus Recall use?

About 719 tokens (SKILL.md is roughly 2.9k 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 Hipocampus Recall?

Skills that share tags, products or a category with Hipocampus Recall: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Copilot Session Failure Analysis (dotnet/maui, 23k stars), Mem0 CLI Memory Commands (mem0ai/mem0, 67k stars) and Create Agent (vectorize-io/hindsight, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hipocampus Recall?

kevin-hs-sohn (a GitHub user) maintains it in kevin-hs-sohn/hipocampus, which has 210 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on June 8, 2026.

Source: kevin-hs-sohn/hipocampus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.