memory-search

A skill for searching an agent's stored memories and conversation history using semantic search, which finds related ideas even when the words differ.

In plain words
What is it for?
Use it before answering questions about past conversations or work, and narrow searches by source such as memory files, sessions, or another agent.
Why use it?
It helps recover facts about earlier work, decisions, dates, people, preferences, and projects without relying on memory or exact phrases.

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/jansenanalytics/claudex/memory-search
Any agent
npx skills add JansenAnalytics/claudex --skill memory-search
Clone the repo
git clone --depth 1 https://github.com/JansenAnalytics/claudex

Made for: Claude Code, Codex.

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 700 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 $0.00058 $0.00700
Opus 5 $0.00029 $0.00350
Sonnet 5 $0.00012 $0.00140
Haiku 4.5 $0.00006 $0.00070

Measured 2d ago against content hash 180e4e720c9c, 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 2d ago.

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.

examples/workspace/.claude/skills/memory-search/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Search — Semantic RAG

You have a vector memory search system that indexes:

  • Your own memory files (CLAUDE.md, memory/*.md)
  • Your Telegram conversation transcripts
  • Cross-agent memories from Kite, Poe, and Argus (OpenClaw agents)

ALWAYS search before answering about:

  • Prior work, decisions, or conversations
  • Dates, timelines, project history
  • People, preferences, or context from past sessions
  • Anything the user says "remember" or "we discussed"
  • Cross-agent context ("what has Argus been working on?")
# Basic search
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "your query here"

# Filter by source (memory files only, sessions only, cross-agent only)
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --source memory
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --source session
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --source cross-agent

# Filter by agent
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --agent kite
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --agent argus

# More results
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --limit 15

# JSON output (for parsing)
node --experimental-sqlite ~/.claude-agent/scripts/memory-search.cjs --search "query" --json

Interpreting Results

Each result shows:

  • Source: memory (your files), session (conversation transcripts), cross-agent (Kite/Poe/Argus)
  • Agent: which agent's data (claudex, kite, poe, argus)
  • Score: hybrid of vector similarity (0.7) + text match (0.3), with recency decay
  • Snippet: first 500 chars of the matched chunk

Higher scores = more relevant. Results above 0.3 are usually meaningful.

Reindexing

The index updates automatically via cron (every 30 min). To force a reindex:

Read the full file on GitHub · 71 lines

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. 2d ago First seen · 71 lines · 58 tokens per session scan A 180e4e720c9c

Subscribe to this mod's changes

memory-search is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 700 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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