memory-search

memory-search is a skill for Claude Code, Codex from S3YED/appie-kit. It costs 60 tokens per session (787 once invoked), scanned A, original, MIT.

A search tool for an Appie brain: files containing daily notes, project information, decisions, research, and long-term memory.

In plain words
What is it for?
Use it to find past conversations, decisions, dates, infrastructure details, client information, or personal preferences.
Why use it?
It avoids manually opening many dated or topic-based files when you need to recall earlier discussions or project context.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/s3yed/appie-kit/memory-search
Any agent
npx skills add S3YED/appie-kit --skill memory-search
Clone the repo
git clone --depth 1 https://github.com/S3YED/appie-kit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for memory-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/s3yed/appie-kit/memory-search.svg)](https://agentmods.dev/skills/s3yed/appie-kit/memory-search)
Your own site
<a href="https://agentmods.dev/skills/s3yed/appie-kit/memory-search"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/memory-search.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 787 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00060 $0.00787
Opus 5 $0.00030 $0.00394
Sonnet 5 $0.00012 $0.00157
Haiku 4.5 $0.00006 $0.00079

Measured 4d ago against content hash 98d0f726a90e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/search.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/automation/memory-search/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search the Appie brain — daily logs, project notes, decisions, topics, and long-term memory.

When to Use

  • User asks about past decisions, conversations, or context
  • User says "remember when...", "what did we decide about...", "check my notes on..."
  • You need project context, client info, or infrastructure details
  • Looking up dates, events, or historical information

Memory Structure

All files are in ~/.hermes/memory/:

  • Daily logs: YYYY-MM-DD.md — raw daily notes
  • Topics: topics/*.md — subject-specific knowledge
  • Projects: projects/*.md — project documentation
  • Decisions: decisions/*.md — recorded decisions
  • Infrastructure: infrastructure/*.md — server/fleet notes
  • Plans: plans/*.md — future plans
  • Research: research/*.md — research notes

Top-level brain files in ~/.hermes/:

  • MEMORY.md — curated long-term memory (read this first)
  • USER.md — info about the human (Seyed)
  • TOOLS.md — tool configuration and fleet SSH details
  • IDENTITY.md — agent identity

Search Commands

Full-text search across all memory files

grep -ril "SEARCH_TERM" ~/.hermes/memory/ ~/.hermes/MEMORY.md ~/.hermes/USER.md ~/.hermes/TOOLS.md 2>/dev/null

Search with context (shows surrounding lines)

grep -rin -C 3 "SEARCH_TERM" ~/.hermes/memory/ 2>/dev/null | head -60

List recent daily logs

ls -t ~/.hermes/memory/????-??-??.md 2>/dev/null | head -10

Read a specific daily log

cat ~/.hermes/memory/YYYY-MM-DD.md

Search by date range (e.g., March 2026)

ls ~/.hermes/memory/2026-03-*.md 2>/dev/null

Search topics

ls ~/.hermes/memory/topics/ 2>/dev/null
grep -ril "SEARCH_TERM" ~/.hermes/memory/topics/ 2>/dev/null

Search projects

ls ~/.hermes/memory/projects/ 2>/dev/null
grep -ril "SEARCH_TERM" ~/.hermes/memory/projects/ 2>/dev/null

Advanced: fuzzy search with script

python3 ~/.hermes/skills/productivity/memory-search/scripts/search.py "QUERY" [--limit 10] [--recent 7]

Read the full file on GitHub · 95 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 95 lines · 60 tokens per session scan A 98d0f726a90e

Subscribe to this mod's changes

memory-search is a skill published in the GitHub repository S3YED/appie-kit (7 stars, last pushed 9d ago), licensed MIT. It adds 60 tokens to every session and 787 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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