Borrowing it
Nothing to install: this file belongs to vincentspereira/RNR-Enhanced-Cognee. 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/vincentspereira/RNR-Enhanced-Cognee/main/AGENTS.mdgit clone --depth 1 https://github.com/vincentspereira/RNR-Enhanced-CogneeWrote 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/vincentspereira/rnr-enhanced-cognee/agents-md)<a href="https://agentmods.dev/instructions/vincentspereira/rnr-enhanced-cognee/agents-md"><img src="https://agentmods.dev/badge/instructions/vincentspereira/rnr-enhanced-cognee/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/vincentspereira/rnr-enhanced-cognee/agents-md"><img src="https://agentmods.dev/badge/instructions/vincentspereira/rnr-enhanced-cognee/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 | $0.06855 | $0.06855 |
| Opus 5 | $0.03427 | $0.03427 |
| Sonnet 5 | $0.01371 | $0.01371 |
| Haiku 4.5 | $0.00685 | $0.00685 |
Grade A, and why
RNR-Enhanced-Cognee AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:26333/collections How it starts
The opening of the file, as written. The whole thing — 960 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RNR Enhanced Cognee Implementation for Codex
Overview
This document is the Codex-facing counterpart to CLAUDE.md. Both files describe
the same RNR Enhanced Cognee memory architecture; this one is tuned for the Codex CLI
and uses ASCII-only formatting throughout (no emojis, no checkmarks) so it round-trips
cleanly through Windows cp1252 consoles.
If you're Claude, read CLAUDE.md. If you're Codex, this file is yours.
CRITICAL REQUIREMENTS
1. ASCII-Only Output (NO Unicode Encoding)
All output must use ASCII characters ONLY. Do NOT use Unicode symbols.
Prohibited:
- Checkmarks / crosses (no Unicode tick, cross, or x-mark glyphs)
- Warning symbols (no Unicode warning sign)
- Emojis of any kind (no chart/wrench/agent/memory/rocket pictographs)
- Arrows (no Unicode left/right/up/down arrows -- use
->,<-,^,v) - Special symbols (no Unicode info, sparkle, bullet glyphs)
Use ASCII equivalents:
- Success ->
OKor[OK] - Warning ->
WARNor[WARNING] - Error ->
ERRor[ERROR] - Info ->
INFOor[INFO] - Document ->
[DOC] - Library ->
[LIB] - Agent ->
[AGENT] - Memory ->
[MEM]
Why: Windows console (cp1252 encoding) cannot display Unicode characters. Using
Unicode causes UnicodeEncodeError: 'charmap' codec can't encode character ...
which kills any process that tries to print to stdout/stderr.
2. Dynamic Categories (NO Hardcoded Categories)
Do NOT use hardcoded categories like ATS/OMA/SMC in code.
WRONG -- hardcoded enum:
class MemoryCategory(Enum):
ATS = "ats"
OMA = "oma"
SMC = "smc"
if category not in ["ats", "oma", "smc"]:
raise ValueError(f"Invalid category: {category}")
CORRECT -- dynamic category loading from config:
config = EnhancedConfig()
categories = config.category_prefixes # Loaded from .enhanced-cognee-config.json
def add_memory(agent_id: str, content: str, memory_category: str):
# Categories are dynamic - accept any string
# No validation against hardcoded list
pass
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 · 960 lines · 6,855 tokens per session scan A a9b17ecec6a3
RNR-Enhanced-Cognee AGENTS.md is an instructions file published in the GitHub repository vincentspereira/RNR-Enhanced-Cognee (1 stars, last pushed 26d ago), licensed Apache-2.0. It adds 6,855 tokens to every session, about $0.0343 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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).
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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.
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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.
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).