What is lnm-brain-public AGENTS.md?

A set of instructions for an AI agent that uses lnm-brain, a second-brain system for saving and retrieving facts, relationships, and session notes.

Use it to start sessions with context, search stored knowledge, retrieve entity facts, query relationships, and record an end-of-session handoff.

It gives the agent a defined way to recover useful context, avoid unnecessary searches, and leave a handoff for the next session.

How Ritik-Sharma1/lnm-brain-public configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to Ritik-Sharma1/lnm-brain-public. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Ritik-Sharma1/lnm-brain-public/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/Ritik-Sharma1/lnm-brain-public

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/ritik-sharma1/lnm-brain-public/agents-md/github.svg)](https://agentmods.dev/instructions/ritik-sharma1/lnm-brain-public/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/ritik-sharma1/lnm-brain-public/agents-md"><img src="https://agentmods.dev/badge/instructions/ritik-sharma1/lnm-brain-public/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/ritik-sharma1/lnm-brain-public/agents-md"><img src="https://agentmods.dev/badge/instructions/ritik-sharma1/lnm-brain-public/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,000 This file is loaded in full into every session.

When invoked 1,000 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01000	$0.01000
Opus 5	$0.00500	$0.00500
Sonnet 5	$0.00200	$0.00200
Haiku 4.5	$0.00100	$0.00100

Measured 2d ago against content hash a74305383165, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lnm-brain-public 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 2d 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.

AGENTS.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LNM Brain — Agent Configuration v10.2.2

This file is a reusable agent contract for an independently deployed LNM Brain. Replace all deployment placeholders with the user's own private infrastructure.

Worker version: 10.2.2
MCP tools: 27 registered runtime tools
MCP URL: https://your-worker-subdomain.workers.dev/mcp?key=YOUR_API_KEY

Session start

Call session_context() first. It returns a compact bootstrap containing the latest handoff, open threads, active topics, and recent important decisions.

If MCP is unavailable, use the deployment's authenticated /session-start REST endpoint as a fallback.

Recall hierarchy

Use the cheapest useful retrieval path and stop when enough context is available:

session_context()
  → get_entity_facts / query_triples
  → keyword_search
  → recall_brain
  → query_second_brain / semantic_search
  → ask_second_brain

All 27 MCP tools

The deployed worker's tools/list response is the source of truth.

query_second_brain
get_entity_facts
ask_second_brain
semantic_search
capture_to_second_brain
ingest_to_second_brain
get_latest_handoff
list_recent
get_handoffs
get_home_feed
lint_second_brain
read_second_brain_file
get_second_brain_graph
write_second_brain_file
query_triples
get_top_entities
find_entity_path
get_session_index
get_observation
get_about_me
get_self
refresh_about_me
get_routing_index
keyword_search
recall_brain
session_context
forget

Capture policy

Capture durable information, not tool noise. Good captures include decisions, project-state changes, architecture, research findings, preferences, instructions, important troubleshooting results, blockers, and next actions.

Skip greetings, acknowledgements, repetitive shell/tool output, duplicate captures, and ephemeral details with no future value.

For a substantive session, persist:

Read the full file on GitHub · 143 lines

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.

2d ago Changed · -9 lines · -248 tokens per session a74305383165
9d ago First seen · 152 lines · 1,248 tokens per session scan A 4f7275c780dc

Subscribe to this mod's changes

lnm-brain-public AGENTS.md is an instructions file published in the GitHub repository Ritik-Sharma1/lnm-brain-public (0 stars, last pushed 2d ago), licensed MIT. It adds 1,000 tokens to every session, about $0.0050 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.

Memory and context

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.

vercel/next.js · 7,296 tokens

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.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

lnm-brain-public: Instructions file for Codex