Borrowing it
Nothing to install: this file belongs to rmarquesa/agentmemory-offline. 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/rmarquesa/agentmemory-offline/main/AGENTS.mdgit clone --depth 1 https://github.com/rmarquesa/agentmemory-offlineWrote 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/rmarquesa/agentmemory-offline/agents-md)<a href="https://agentmods.dev/instructions/rmarquesa/agentmemory-offline/agents-md"><img src="https://agentmods.dev/badge/instructions/rmarquesa/agentmemory-offline/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/rmarquesa/agentmemory-offline/agents-md"><img src="https://agentmods.dev/badge/instructions/rmarquesa/agentmemory-offline/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 | $0.01546 | $0.01546 |
| Opus 5.5 | $0.00618 | $0.00618 |
| Sonnet 5.5 | $0.00309 | $0.00309 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
agentmemory-offline 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 1mo 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.
This is a copy
91% identical to agentmemory AGENTS.md — 45 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.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agentmemory — Agent Instructions
Architecture
agentmemory is a persistent memory system for AI coding agents, built on iii-engine's three primitives (Worker/Function/Trigger). Everything goes through registerFunction/registerTrigger/sdk.trigger() — never bypass iii-engine with standalone SQLite or in-process alternatives.
- Engine: iii-sdk (WebSocket to iii-engine on port 49134)
- State: File-based SQLite via iii-engine's StateModule (
./data/state_store.db) - Build: TypeScript → ESM via tsdown, output to
dist/ - Test: vitest (
npm testexcludes integration tests)
Consistency Rules
When adding or removing MCP tools, you MUST update ALL of the following:
src/mcp/tools-registry.ts— tool definition +getAllTools()arraysrc/mcp/server.ts— handler case in themcp::tools::callswitchsrc/triggers/api.ts— REST endpoint registrationsrc/index.ts— function registration + endpoint count in the log linetest/mcp-standalone.test.ts— tool count assertionREADME.md— tool counts (search for "MCP tools")plugin/.claude-plugin/plugin.json— tool count in descriptionplugin/plugin.jsonandplugin/.mcp.copilot.json(when present) — tool count or MCP exposure
When adding REST endpoints, you MUST update:
src/triggers/api.ts— endpoint registrationsrc/index.ts— endpoint count in the log lineREADME.md— endpoint count (search for "REST endpoints" and "endpoints on port")
When bumping version, you MUST update ALL of the following:
package.json— version fieldsrc/version.ts— VERSION constant and type unionsrc/types.ts— ExportData version unionsrc/functions/export-import.ts— supportedVersions settest/export-import.test.ts— version assertionplugin/.claude-plugin/plugin.json— version fieldplugin/plugin.json(when present) — version field
When adding new KV scopes:
src/state/schema.ts— add to the KV objectsrc/types.ts— add the corresponding interface
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.
- 1mo ago First seen · 125 lines · 1,546 tokens per session scan A d39c24bec7ab
agentmemory-offline AGENTS.md is an instructions file published in the GitHub repository rmarquesa/agentmemory-offline (0 stars, last pushed 5d ago), licensed Apache-2.0. It adds 1,546 tokens to every session, about $0.0062 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to agentmemory AGENTS.md, differing in 45 lines, and is treated as a copy.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).