A command for searching Honcho's persistent memory, which stores information from earlier coding sessions. It returns a concise summary of relevant past interactions.

Use it to look up a specific topic from past sessions and review the related timing or session context.

It helps recover context that is not present in the current conversation, so users do not have to repeat earlier details.

recall — Command for Claude Code by plastic-labs/cursor-honcho

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.

Clone the repo

git clone --depth 1 https://github.com/plastic-labs/cursor-honcho

Made for: Claude Code.

Or install honcho, the plugin that ships this one along with the rest of its 4 skills, 2 commands, 1 agent.

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/commands/plastic-labs/cursor-honcho/recall/github.svg)](https://agentmods.dev/commands/plastic-labs/cursor-honcho/recall)

Your own site

<a href="https://agentmods.dev/commands/plastic-labs/cursor-honcho/recall"><img src="https://agentmods.dev/badge/commands/plastic-labs/cursor-honcho/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/commands/plastic-labs/cursor-honcho/recall"><img src="https://agentmods.dev/badge/commands/plastic-labs/cursor-honcho/recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 100 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.

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	$0.00016	$0.00100
Opus 5.5	$0.00006	$0.00040
Sonnet 5.5	$0.00003	$0.00020
Haiku 4.5	$0.00002	$0.00010

Measured 2mo ago against content hash cc16cb129683, 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 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.

plugins/honcho/commands/recall.md · 15 lines

What it actually says

Recall from Memory

Search Honcho's persistent memory for information from past sessions.

Use the search MCP tool to find relevant past interactions, then summarize what was found.

If the user provides a topic after /recall, search for that topic. If no topic is provided, ask what they'd like to recall.

Present results concisely with timestamps and session context where available.

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 · 15 lines · 16 tokens per session scan A cc16cb129683

Subscribe to this mod's changes

recall is a command published in the GitHub repository plastic-labs/cursor-honcho (7 stars, last pushed 21d ago), licensed MIT. It adds 16 tokens to every session and 100 once invoked, about $0.0001 per session on Opus 5.5. 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.

Memory and context

recall next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
recallplastic-labs/cursor-honcho	Command	7	21d ago	MIT	A	16	Claude Code
minutes-ideassilverstein/minutes	Command	1.6k	yesterday	MIT	A	48	Claude Code, OpenCode
learnReflexioAI/claude-smart	Command	793	4d ago	Apache-2.0	A	14	Claude Code
memory-storeverygoodplugins/mcp-automem	Command	66	today	MIT	A	10	Claude Code
analyze-contextRohiRIK/OpenLtm	Command	30	2d ago	MIT	A	39	Claude Code
cc-memoryTheLobbi/claude	Command	21	12d ago	MIT	A	0	Claude Code
lians-recallLians-ai/Lians	Command	17	2d ago	Apache-2.0	A	19	Claude Code