recall

recall is a skill for Claude Code from mem9-ai/mem9. It costs 12 tokens per session (556 once invoked), scanned A, original, Apache-2.0.

A skill for searching Mem9, a memory service that stores information from earlier work, for context relevant to the current request.

In plain words
What is it for?
Use it when historical context from Mem9 could help answer or complete the current task; it requires Mem9 setup and access credentials.
Why use it?
It helps recover useful past decisions or information instead of treating every request as if it were new.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions .claude-plugin.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the mem9 plugin — 3 skills, 5 hooks shipped together

Good fit Use it when historical context from Mem9 could help answer or complete the current task; it requires Mem9 setup and access credentials.

Compare 6 skills from other repositories ↓
View source ↗ mem9-ai/mem9
About the project

mem9 is a persistent memory service for AI agents that preserves information across sessions and machines and can share it among multiple agents. It is used with OpenClaw, coding agents, workflow platforms, and custom clients that need shared storage and recall. The catalogue add-ons connect agents and workflows to mem9 memory.

mem9-ai/mem9 · 1,225 stars · on GitHub

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add mem9-ai/mem9
Claude Code
/plugin install mem9

Made for: Claude Code.

Or install mem9, the plugin that ships this one along with the rest of its 3 skills, 5 hooks.

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 recall

README.md
[![agentmods](https://agentmods.dev/badge/skills/mem9-ai/mem9/recall/github.svg)](https://agentmods.dev/skills/mem9-ai/mem9/recall)
Your own site
<a href="https://agentmods.dev/skills/mem9-ai/mem9/recall"><img src="https://agentmods.dev/badge/skills/mem9-ai/mem9/recall/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for recall

Your own site · 80×15
<a href="https://agentmods.dev/skills/mem9-ai/mem9/recall"><img src="https://agentmods.dev/badge/skills/mem9-ai/mem9/recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 556 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00012 $0.00556
Opus 5.5 $0.00005 $0.00222
Sonnet 5.5 $0.00002 $0.00111
Haiku 4.5 $0.00001 $0.00056

Measured 1mo ago against content hash 835c3e63d56d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

recall scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sf --max-time 8 \
claude-plugin/skills/recall/SKILL.md · 47 lines

What it actually says

Mem9 Recall

Use this skill when the current request could benefit from historical context stored in Mem9.

Steps

  1. Check ${CLAUDE_PLUGIN_DATA}/auth.json. If it is missing, tell the user to run /mem9:setup first.
  2. Use ${CLAUDE_PLUGIN_DATA}/auth.json only as request credentials. Do not print the file contents or the API key.
  3. Search Mem9 with the current question across all agents in the account (no agent_id filter).
set -euo pipefail

auth_file="${CLAUDE_PLUGIN_DATA}/auth.json"
test -f "$auth_file"
read_api_key_and_base_url="$(node -e 'const fs=require("node:fs"); const data=JSON.parse(fs.readFileSync(process.argv[1],"utf8")); const values=[data.api_key || "", data.base_url || "https://api.mem9.ai"]; process.stdout.write(values.join("\t"));' "$auth_file")"
api_key="${read_api_key_and_base_url%%	*}"
base_url="${read_api_key_and_base_url#*	}"
test -n "$api_key"
test -n "$base_url"
plugin_version="unknown"
if [ -n "${CLAUDE_PLUGIN_ROOT:-}" ] && [ -f "${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json" ]; then
  plugin_version="$(node -e 'const fs=require("node:fs"); const data=JSON.parse(fs.readFileSync(process.argv[1],"utf8")); process.stdout.write(data.version || "unknown");' "${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json")"
fi

query='REPLACE_WITH_SEARCH_QUERY'
encoded_query="$(printf '%s' "$query" | node -e 'const fs=require("node:fs"); const raw=fs.readFileSync(0,"utf8").trim(); process.stdout.write(encodeURIComponent(raw));')"

curl -sf --max-time 8 \
  -H "Content-Type: application/json" \
  -H "X-API-Key: ${api_key}" \
  -H "X-Mnemo-Agent-Id: claude-code" \
  -H "User-Agent: mem9-plugin/claude-code/${plugin_version}" \
  "${base_url%/}/v1alpha2/mem9s/memories?q=${encoded_query}&limit=10"

Return only the memories that help with the current question. Never reveal secret values.

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. 1mo ago First seen · 47 lines · 12 tokens per session scan A 835c3e63d56d

Subscribe to this mod's changes

recall is a skill published in the GitHub repository mem9-ai/mem9 (1,225 stars, last pushed 9d ago), licensed Apache-2.0. It adds 12 tokens to every session and 556 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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