mem-forget

mem-forget is a command for coding agents from roboco-io/ralph-mem. It costs 8 tokens per session (110 once invoked), scanned A, original, MIT.

A command for deleting saved memory entries from selected sessions, dates, or categories.

In plain words
What is it for?
Use it to delete one observation, all observations from a session, entries older than a given age, or entries of a selected type.
Why use it?
It helps remove outdated, unwanted, or incorrectly saved context while letting you preview what would be deleted first.

Command

Part of the ralph-mem plugin — 5 skills, 6 commands, 3 hooks 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/roboco-io/ralph-mem/mem-forget
Clone the repo
git clone --depth 1 https://github.com/roboco-io/ralph-mem

Or install ralph-mem, the plugin that ships this one along with the rest of its 5 skills, 6 commands, 3 hooks.

Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 110 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 $0.00008 $0.00110
Opus 5 $0.00004 $0.00055
Sonnet 5 $0.00002 $0.00022
Haiku 4.5 $0.00001 $0.00011

Measured 3d ago against content hash 0d6bb7e8a419, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mem-forget 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.

commands/mem-forget.md · 18 lines

What it actually says

Memory Forget

특정 메모리 항목을 삭제합니다.

사용법

  • obs-id - 특정 관찰 삭제
  • --session sess-id - 특정 세션의 모든 관찰 삭제
  • --before 30d - 30일 이전의 관찰 삭제
  • --type error - 특정 타입의 관찰만 삭제
  • --dry-run - 실제 삭제 없이 대상 확인

$ARGUMENTS

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 · 18 lines · 8 tokens per session scan A 0d6bb7e8a419

Subscribe to this mod's changes

mem-forget is a command published in the GitHub repository roboco-io/ralph-mem (2 stars, last pushed 7mo ago), licensed MIT. It adds 8 tokens to every session and 110 once invoked, about $0.0000 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.