memory-recall

memory-recall is a skill for Claude Code, Codex from legacybridge-tech/claude-plugins. It costs 42 tokens per session (526 once invoked), scanned A, original, MIT.

A search tool for recalling information saved by the Engram memory system, including preferences, past conversations, and long-term notes. Engram is a file-based way to keep context between sessions.

In plain words
What is it for?
Use it when asking what was remembered, referring to a previous discussion, or checking stored project and personal context.
Why use it?
It prevents relying on guesses when a current question may depend on something discussed or saved earlier.

Skill for Claude CodeCodex

Part of the engram plugin — 4 skills 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/legacybridge-tech/claude-plugins/memory-recall
Any agent
npx skills add legacybridge-tech/claude-plugins --skill memory-recall
Clone the repo
git clone --depth 1 https://github.com/legacybridge-tech/claude-plugins

Made for: Claude Code, Codex.

Or install engram, the plugin that ships this one along with the rest of its 4 skills.

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-recall

README.md
[![agentmods](https://agentmods.dev/badge/skills/legacybridge-tech/claude-plugins/memory-recall.svg)](https://agentmods.dev/skills/legacybridge-tech/claude-plugins/memory-recall)
Your own site
<a href="https://agentmods.dev/skills/legacybridge-tech/claude-plugins/memory-recall"><img src="https://agentmods.dev/badge/skills/legacybridge-tech/claude-plugins/memory-recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 526 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 $0.00042 $0.00526
Opus 5 $0.00021 $0.00263
Sonnet 5 $0.00008 $0.00105
Haiku 4.5 $0.00004 $0.00053

Measured 4d ago against content hash c5030e1afb99, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

engram/skills/memory-recall/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Recall

Search and retrieve relevant memories from the memory files.

When to Use

Trigger when:

  • The current topic might relate to past discussions
  • The user references something from a previous conversation
  • You're uncertain about context that may have been discussed before
  • The user asks "do you remember..." or similar queries

Do NOT guess or assume — search memory files first, then respond with confidence.

Note: memory_preferences.md is already auto-loaded into context via the @ reference in CLAUDE.md — you usually do not need to re-read it here unless the user just updated it.

Workflow

1. Read Configuration

Read .claude/memory-settings.json to get the configured file names.

2. Extract Search Keywords

From the current conversation context, identify:

  • Key topics, names, technologies, or concepts
  • Time references ("last week", "when we discussed X")
  • Specific terms the user mentioned

3. Search in Parallel

Execute searches across all three files simultaneously:

Preferences File
  • Read the full file (it's small, designed to be loaded entirely)
  • Extract relevant sections
Conversations File
  • Use Grep to search for keywords
  • Results are in reverse chronological order (newest first)
  • Look for matching ### YYYY-MM-DD entries and their content
Long-Term Memory File
  • Use Grep to search for keywords
  • Check across all subsections (milestones, decisions, lessons, etc.)

4. Synthesize Results

Combine findings from all files into a coherent response:

  • Prioritize the most relevant and recent information
  • Cross-reference between files (e.g., a preference change might relate to a conversation)
  • Present information naturally — don't list "found in file X"

5. Response Style

Integrate recalled memories naturally into your response. Examples:

Good: "Based on our previous discussion, you decided to use PostgreSQL for this project. You also mentioned preferring connection pooling via PgBouncer."

Read the full file on GitHub · 69 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. 4d ago First seen · 69 lines · 42 tokens per session scan A c5030e1afb99

Subscribe to this mod's changes

memory-recall is a skill published in the GitHub repository legacybridge-tech/claude-plugins (6 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 526 once invoked, about $0.0002 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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