memory-offload

memory-offload is a skill for Claude Code, Codex from Yeachan-Heo/clawhip. It costs 0 tokens per session (427 once invoked), scanned A, original, MIT.

A file-based memory system that keeps `MEMORY.md` as a small index and stores detailed notes in separate files under a structured `memory/` folder.

In plain words
What is it for?
Use it to organize execution logs, project state, agent profiles, channel notes, durable rules, and handoffs.
Why use it?
It prevents one large memory file from becoming difficult to read and keeps frequently needed information small. Agents can load only the relevant project, topic, channel, or date-based notes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to organize execution logs, project state, agent profiles, channel notes, durable rules, and handoffs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yeachan-heo/clawhip/memory-offload
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.

Any agent
npx skills add Yeachan-Heo/clawhip --skill memory-offload
Clone the repo
git clone --depth 1 https://github.com/Yeachan-Heo/clawhip

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.

agentmods badge for memory-offload

README.md
[![agentmods](https://agentmods.dev/badge/skills/yeachan-heo/clawhip/memory-offload.svg)](https://agentmods.dev/skills/yeachan-heo/clawhip/memory-offload)
Your own site
<a href="https://agentmods.dev/skills/yeachan-heo/clawhip/memory-offload"><img src="https://agentmods.dev/badge/skills/yeachan-heo/clawhip/memory-offload.svg" alt="Measured on agentmods" 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 427 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00427
Opus 5 $0.00000 $0.00214
Sonnet 5 $0.00000 $0.00085
Haiku 4.5 $0.00000 $0.00043

Measured 8d ago against content hash 5f8e8ca52319, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

memory-offload 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 8d 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.

skills/memory-offload/SKILL.md · 52 lines

What it actually says

clawhip × filesystem-offloaded memory

Use this skill when you want a Claw OS-style memory system where MEMORY.md stays small and points into a structured memory/ tree.

What you get

  • a clear role for MEMORY.md as pointer/index/current-beliefs layer
  • a practical read/write workflow for agents
  • guidance for sharding memory by time, channel, project, topic, and handoff
  • migration guidance away from monolithic memory files

Read order

  1. Read MEMORY.md first.
  2. Follow the pointer to the smallest relevant shard.
  3. Read subtree indexes only when needed.
  4. Avoid loading the whole memory tree by default.

Write order

  1. Write detailed updates to the canonical leaf shard.
  2. Update MEMORY.md only when the pointer map or current beliefs changed.
  3. If a section grows noisy, split it into a dedicated file.
  4. Archive cold history to keep the hot path small.

Default shard map

  • memory/daily/YYYY-MM-DD.md -> chronological execution log
  • memory/channels/<channel>.md -> one lane/channel
  • memory/projects/<project>.md -> project/repo state
  • memory/agents/<agent>.md -> agent/operator profile
  • memory/topics/rules.md -> durable operating rules
  • memory/topics/lessons.md -> reusable lessons
  • memory/handoffs/YYYY-MM-DD-<slug>.md -> bounded handoffs
  • memory/archive/YYYY-MM/ -> cold history

Offload triggers

Offload when:

  • MEMORY.md stops being easy to scan
  • one topic dominates the root file
  • detail is only relevant to one entity or workflow
  • logs or history start crowding out current beliefs

Start here

  • docs/memory-offload-architecture.md
  • docs/memory-offload-guide.md
  • docs/examples/MEMORY.example.md
  • docs/examples/memory/README.example.md
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. 8d ago First seen · 52 lines · 0 tokens per session scan A 5f8e8ca52319

Subscribe to this mod's changes

memory-offload is a skill published in the GitHub repository Yeachan-Heo/clawhip (932 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 427 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.

Related

Other skills, from other repositories

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens