recall

recall is a command for coding agents from rmarquesa/agentmemory-offline. It costs 0 tokens per session (184 once invoked), scanned A, a copy of recall, Apache-2.0.

A command for searching observations and lessons saved from earlier coding-agent sessions. It combines keyword, meaning-based, and lesson searches to find relevant past context.

In plain words
What is it for?
Use it to look up previous work, important observations, and lessons related to a query.
Why use it?
It removes the need to repeat decisions or reconstruct information from old sessions.

Command

Part of the agentmemory plugin — 15 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 commands/rmarquesa/agentmemory-offline/recall
Clone the repo
git clone --depth 1 https://github.com/rmarquesa/agentmemory-offline

Or install agentmemory, the plugin that ships this one along with the rest of its 15 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/commands/rmarquesa/agentmemory-offline/recall.svg)](https://agentmods.dev/commands/rmarquesa/agentmemory-offline/recall)
Your own site
<a href="https://agentmods.dev/commands/rmarquesa/agentmemory-offline/recall"><img src="https://agentmods.dev/badge/commands/rmarquesa/agentmemory-offline/recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 184 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00000 $0.00184
Opus 5 $0.00000 $0.00092
Sonnet 5 $0.00000 $0.00037
Haiku 4.5 $0.00000 $0.00018

Measured 3d ago against content hash 3b05701dbade, 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 3d 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

100% identical to recall — 0 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/opencode/commands/recall.md · 20 lines

What it actually says

Search past session observations and lessons for relevant context. Wrap the memory_smart_search and memory_lesson_recall MCP tools.

Usage

/recall [query]

Instructions

  1. Call memory_smart_search with the query and limit: 10 (hybrid BM25 + vector + graph search).
  2. Call memory_lesson_recall with the same query and limit: 5 (lesson search).
  3. Combine results and present to the user:
    • Group by session
    • Show type, title, and narrative for each observation
    • Highlight high-importance (>= 7) observations
    • Show lessons separately with confidence scores
  4. If no results, suggest 2-3 alternative search terms.
  5. Never hallucinate results. Only present what the MCP tools actually return.
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. 3d ago First seen · 20 lines · 0 tokens per session scan A 3b05701dbade

Subscribe to this mod's changes

recall is a command published in the GitHub repository rmarquesa/agentmemory-offline (0 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 184 tokens. A static security scan graded it A with 0 findings. It is 100% identical to recall, differing in 0 lines, and is treated as a copy.