recall

recall is a skill for Claude Code, Codex from M-T-D-N/agentmemory-codex-windows. It costs 61 tokens per session (572 once invoked), scanned A, a copy of recall, Apache-2.0.

A memory-search tool for finding past agent observations, sessions, and lessons about a topic using several kinds of matching.

In plain words
What is it for?
Use it when asking what was done before, whether a topic has been seen, or when recalling a specific technical decision or observation.
Why use it?
It helps recover relevant previous work when the current conversation does not contain the needed context.

Skill for Claude CodeCodex

Part of the agentmemory plugin — 17 skills, 2 commands, 12 hooks, 1 MCP server shipped together

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/m-t-d-n/agentmemory-codex-windows/recall
Any agent
npx skills add M-T-D-N/agentmemory-codex-windows --skill recall
Clone the repo
git clone --depth 1 https://github.com/M-T-D-N/agentmemory-codex-windows

Made for: Claude Code, Codex.

Or install agentmemory, the plugin that ships this one along with the rest of its 17 skills, 2 commands, 12 hooks, 1 MCP server.

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/m-t-d-n/agentmemory-codex-windows/recall.svg)](https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/recall)
Your own site
<a href="https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/recall"><img src="https://agentmods.dev/badge/skills/m-t-d-n/agentmemory-codex-windows/recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 572 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% copy Near-identical to another mod 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 $0.00061 $0.00572
Opus 5 $0.00030 $0.00286
Sonnet 5 $0.00012 $0.00114
Haiku 4.5 $0.00006 $0.00057

Measured 5d ago against content hash 5bafc4016e1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

recall 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 5d 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.

Origin

This is a copy

88% identical to recall — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugin/skills/recall/SKILL.md · 65 lines

What it actually says

The user wants to recall past context about: $ARGUMENTS

Quick start

memory_smart_search { "project": "my-project", "query": "jwt refresh token rotation", "limit": 10 }

Expected output:

2 results across 2 sessions.
[importance 8] decision · "Rotate refresh tokens on every use" (session 7f3a9c21)
[importance 5] code · "limit.ts counts per-IP" (session b21d004e)

Why

Only surface what the tool returned. Never fabricate an observation, a session id, or an importance score. If nothing comes back, say so.

Workflow

  1. Call memory_smart_search with the user's text as query and limit: 10. Pass project when the user scopes to a specific repo.
  2. Group results by session. Records carry a provenance channel (user, agent, tool, import, shared); when results conflict, prefer user over agent inference, and flag shared records as another teammate's write.
  3. For each observation show its type, title, and narrative.
  4. Lead with the high-signal observations (importance >= 7).
  5. If zero results, suggest 2-3 alternative search terms and stop. Do not guess.

Anti-patterns

WRONG: results are empty, so you write "We probably discussed token expiry last week" from assumption.

RIGHT: "No memories matched that query. Try refresh token, session expiry, or auth rotation."

Checklist

  • Every observation shown came from the tool response.
  • Project scope is exact, or * was an explicit cross-project choice.
  • Results grouped by session, high-importance first.
  • Empty results trigger alternative-term suggestions, not invention.
  • No session id or score was paraphrased or rounded.

See also

  • remember: the write side; recall retrieves what it stores.
  • recap, handoff, session-history: session-scoped views of the same data.
  • memory-discipline: when to run this search unprompted.

Troubleshooting

See ../_shared/TROUBLESHOOTING.md if memory_smart_search is not available.

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. 5d ago First seen · 65 lines · 61 tokens per session scan A 5bafc4016e1a

Subscribe to this mod's changes

recall is a skill published in the GitHub repository M-T-D-N/agentmemory-codex-windows (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 61 tokens to every session and 572 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to recall, differing in 3 lines, and is treated as a copy.

Related

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Coding-Dev-Tools/engraphis · 134 tokens

slm-recall

Search and retrieve facts, decisions, and past context from SuperLocalMemory. Use when the user asks to recall, find, search, or "what did we decide/say about X". Triggers multi-channel semantic retrieval with reranking; always call before storing anything new.

qualixar/superlocalmemory · 60 tokens

slm-remember

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qualixar/superlocalmemory · 60 tokens

slm-session

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slm-scope

Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine). Default is always personal. Only change scope when the user explicitly asks to share a memory across workspaces. Works with both remember (write scope) and recall (read scope…

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