What is memory-recall?

A search tool for finding information across structured memory files, including past decisions, events, tasks, people, projects, and tools.

Use it before making decisions, when recalling project history, or when investigating related decisions and tasks with ranked results and excerpts.

It reduces the need to manually scan many files when looking for earlier context or related work. It can also use cross-references to find connected items.

memory-recall — Skill for Claude Code and Codex by star-ga/mind-mem

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/star-ga/mind-mem

agentmods

npx agentmods add skills/star-ga/mind-mem/memory-recall

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/star-ga/mind-mem/memory-recall/github.svg)](https://agentmods.dev/skills/star-ga/mind-mem/memory-recall)

Your own site

<a href="https://agentmods.dev/skills/star-ga/mind-mem/memory-recall"><img src="https://agentmods.dev/badge/skills/star-ga/mind-mem/memory-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/star-ga/mind-mem/memory-recall"><img src="https://agentmods.dev/badge/skills/star-ga/mind-mem/memory-recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 567 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00567
Opus 5.5	$0.00000	$0.00227
Sonnet 5.5	$0.00000	$0.00113
Haiku 4.5	$0.00000	$0.00057

Measured 2mo ago against content hash 505c7f683c93, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memory-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 2mo 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

Copies of this mod

1 near-identical copy found in the catalogue:

memory-recall — 100% identical, 0 lines differ

skills/memory-recall/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/recall — Memory Search

Search across all structured memory files. Default backend: BM25 scoring with Porter stemming and domain-aware query expansion. Optional: graph-based cross-reference boosting (--graph). Optional: vector/embedding backend (configure in mind-mem.json). Returns ranked results with block ID, type, score, excerpt, and file path.

When to Use

Before making decisions (check if a similar decision already exists)
When asked about past events, decisions, or tasks
To find related context for a current problem
To check what's known about a person, project, or tool
To explore connections between decisions and tasks (--graph)

How to Run

Basic Search

python3 maintenance/recall.py --query "authentication" --workspace "${MIND_MEM_WORKSPACE:-.}"

Graph-Boosted Search (cross-reference neighbor discovery)

python3 maintenance/recall.py --query "database" --graph --workspace "${MIND_MEM_WORKSPACE:-.}"

JSON Output (for programmatic use)

python3 maintenance/recall.py --query "auth" --workspace "${MIND_MEM_WORKSPACE:-.}" --json --limit 5

Active Items Only

python3 maintenance/recall.py --query "deadline" --workspace "${MIND_MEM_WORKSPACE:-.}" --active-only

What It Searches

decisions/DECISIONS.md — All decisions
tasks/TASKS.md — All tasks
entities/projects.md — Projects
entities/people.md — People
entities/tools.md — Tools
entities/incidents.md — Incidents
intelligence/CONTRADICTIONS.md — Known contradictions
intelligence/DRIFT.md — Drift detections
intelligence/SIGNALS.md — Captured signals

Scoring

Results are ranked by BM25 relevance (k1=1.2, b=0.75) with:

Stemming — "queries" matches "query", "deployed" matches "deployment"
Query expansion — "auth" expands to include "authentication", "login", "oauth", "jwt"
Recency — Recent items score higher
Active status — Active items get 1.2x boost
Priority — P0/P1 items get 1.1x boost
Graph neighbors — With --graph, blocks connected via cross-references to keyword matches get a 0.3x boost (tagged [graph] in output)

Read the full file on GitHub · 53 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.

2mo ago First seen · 53 lines · 0 tokens per session scan A 505c7f683c93

Subscribe to this mod's changes

memory-recall is a skill published in the GitHub repository star-ga/mind-mem (19 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 567 tokens. 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 2026-08-30.

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