Borrowing it
Nothing to install: this file belongs to 3062-in-zamud/knowledgine. 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/3062-in-zamud/knowledgine/develop/AGENTS.mdgit clone --depth 1 https://github.com/3062-in-zamud/knowledgineWrote 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/3062-in-zamud/knowledgine/agents-md)<a href="https://agentmods.dev/instructions/3062-in-zamud/knowledgine/agents-md"><img src="https://agentmods.dev/badge/instructions/3062-in-zamud/knowledgine/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/3062-in-zamud/knowledgine/agents-md"><img src="https://agentmods.dev/badge/instructions/3062-in-zamud/knowledgine/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 | $0.01293 | $0.01293 |
| Opus 5 | $0.00647 | $0.00647 |
| Sonnet 5 | $0.00259 | $0.00259 |
| Haiku 4.5 | $0.00129 | $0.00129 |
Grade A, and why
knowledgine 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 10d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file is the tool-agnostic source of truth for AI agent behavior in this project. It is read by Claude Code, Cursor, Codex, and any other AI coding tool.
Project Overview
knowledgine — Developer Knowledge Infrastructure. A TypeScript ESM monorepo that extracts, stores, and retrieves knowledge from developer workflows.
- Version: 0.6.3
- License: MIT
- Runtime: Node.js >= 20
- Package Manager: pnpm >= 9
Build & Verify
pnpm install --frozen-lockfile
pnpm build # Build all packages
pnpm verify # build + typecheck + lint + format:check + test:run
pnpm test:run # Tests only
pnpm test:coverage # Tests with coverage report
Build Order
mcp-memory-protocol → core → ingest → mcp-server → cli
Architecture
5 packages under packages/:
| Package | npm Name | Responsibility |
|---|---|---|
mcp-memory-protocol |
@knowledgine/mcp-memory-protocol |
MCP memory protocol specification |
core |
@knowledgine/core |
Knowledge extraction, storage, search, graph |
ingest |
@knowledgine/ingest |
Plugin-based data ingestion pipeline |
mcp-server |
@knowledgine/mcp-server |
MCP server exposing knowledge tools |
cli |
@knowledgine/cli |
CLI for indexing, serving, management |
Dependency graph:
cli → mcp-server → core ← ingest
↑
mcp-memory-protocol
Spec-Driven Development (SDD)
All features MUST have a specification in specs/KNOW-{NNN}-description/.
For Implementers
- Read the full spec before writing any code
- Read
requirements.mdfor acceptance criteria and constraints - Follow
design.mdfor architecture and interfaces - Work through
tasks.mdin order, checking off items as you go - If the spec is ambiguous or wrong, update the spec first, then implement
- Run
pnpm verifyafter each task
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.
- 10d ago First seen · 165 lines · 1,293 tokens per session scan A 715b1ad23632
knowledgine AGENTS.md is an instructions file published in the GitHub repository 3062-in-zamud/knowledgine (3 stars, last pushed 1mo ago), licensed MIT. It adds 1,293 tokens to every session, about $0.0065 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.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.