Borrowing it
Nothing to install: this file belongs to wuisabel-gif/MemWhale. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wuisabel-gif/MemWhale/main/AGENTS.mdgit clone --depth 1 https://github.com/wuisabel-gif/MemWhaleWrote 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.
[](https://agentmods.dev/instructions/wuisabel-gif/memwhale/agents-md)<a href="https://agentmods.dev/instructions/wuisabel-gif/memwhale/agents-md"><img src="https://agentmods.dev/badge/instructions/wuisabel-gif/memwhale/agents-md/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.
<a href="https://agentmods.dev/instructions/wuisabel-gif/memwhale/agents-md"><img src="https://agentmods.dev/badge/instructions/wuisabel-gif/memwhale/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00718 | $0.00718 |
| Opus 5 | $0.00359 | $0.00359 |
| Sonnet 5 | $0.00144 | $0.00144 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
MemWhale AGENTS.md 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents (Codex, Claude, etc.) working in this repo.
Use MemoryWhale as durable terminal memory
This project is a terminal-memory system — use it on yourself. It stores commands, exit codes, stdout/stderr, notes, and whole sessions in a local SQLite database so a future agent session, a different machine, or a different agent can continue from what already happened. Everything is local; nothing is uploaded.
Database: <data_local>/MemoryWhale/memorywhale.sqlite3
(~/.local/share/... on Linux, ~/Library/Application Support/... on macOS).
Recall before you act
Before debugging a build/environment error, check whether it was solved before:
mw search "linker cc not found" # full-text recall across commands, output, notes
mw context --last-error # the most recent failure, with its error tail
It shows prior matching runs and what was run right after a past failure (often the fix). Prefer a known-good fix over re-deriving it.
Record as you go
Log notable commands — especially a failure and the fix that worked:
mw-remember --cwd "$(pwd)" --exit-code "$?" \
--stderr "<error output>" \
--notes "project:<name> what / why" -- <command> [args]
Record an exploratory stretch as a whole session:
mw --notes "project:<name>" # ...work... then: exit (wait for "recorded session #N")
Tag related work across terminals with the same project:<name> to group it.
Inspect
mw-view <id>— one memory as a local web page (with suggested next steps).mw-serve— dashboard athttp://127.0.0.1:7071/; includes/graphand project views.mw-recover— import an interrupted session transcript that didn't save.
Repo conventions
- Before changing behavior, read
docs/architecture.mdand place the change in Capture, Memory, Retrieval, or Interfaces. Keep integrations thin and do not introduce agent-specific behavior into core. - Before debugging, run a focused test and query MemoryWhale for a recurring failure. Record non-obvious fixes after they are verified.
- The Cargo workspace lives at the repository root. The reusable retrieval
crate is
crates/memorywhale-core, CLI sources are incrates/mw-cli, the React frontend is insrc, andsrc-tauricontains only the desktop shell. - Build every helper from the repository root with
cargo build --release -p memorywhale-cli --bins. The binaries aremw,mw-remember,mw-run,mw-screenshot,mw-serve,mw-view,mw-recover, andmw-mcp. - macOS only: after copying a built binary, re-sign it (
codesign --force --sign - <path>) or it getsKilled: 9. SeeDEBUG.md. - Full usage:
docs/reference/cli.md. Setup/troubleshooting:DEBUG.md.
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.
- 9d ago First seen · 71 lines · 718 tokens per session scan A f3ea716929da
MemWhale AGENTS.md is an instructions file published in the GitHub repository wuisabel-gif/MemWhale (67 stars, last pushed yesterday), licensed MIT. It adds 718 tokens to every session, about $0.0036 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.