librechat-mnemonic AGENTS.md

librechat-mnemonic AGENTS.md is an instructions file for Codex, OpenCode from dowlings/librechat-mnemonic. It costs 430 tokens per session, scanned A, original, MIT.

An AGENTS.md instruction file for the LibreChat Mnemonic project. It records the project's workflow, coding style, testing requirements, and architecture guidance.

In plain words
What is it for?
Use it when changing this project to follow its required reading, testing, type-checking, logging, configuration, and pull-request practices.
Why use it?
It tells a coding agent how to inspect the project, make focused changes, test them, and prepare work for review.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/dowlings/librechat-mnemonic/agents-md
Clone the repo
git clone --depth 1 https://github.com/dowlings/librechat-mnemonic

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.

agentmods badge for librechat-mnemonic AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dowlings/librechat-mnemonic/agents-md.svg)](https://agentmods.dev/instructions/dowlings/librechat-mnemonic/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/dowlings/librechat-mnemonic/agents-md"><img src="https://agentmods.dev/badge/instructions/dowlings/librechat-mnemonic/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 430 This file is loaded in full into every session.
When invoked 430 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00430 $0.00430
Opus 5 $0.00215 $0.00215
Sonnet 5 $0.00086 $0.00086
Haiku 4.5 $0.00043 $0.00043

Measured 4d ago against content hash 0004ed6a0f0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

librechat-mnemonic 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 4d 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 · 32 lines

What it actually says

Agent Guidelines

Workflow

  1. Read before writing. Understand the existing code, tests, and architecture before making changes. Start with README.md, then the files relevant to the task.
  2. Make focused changes. Do not reformat unrelated code, rename variables, or "improve" things outside the scope of the task.
  3. Add or update tests. Every behavioural change should have corresponding test coverage. Run npm test before committing.
  4. Run validation. Always run npm test and npm run typecheck before pushing. If either fails, fix the issue before committing.
  5. Commit checkpoints. For longer tasks, commit and push coherent checkpoints rather than waiting until the end. Each commit should leave the codebase in a working state.
  6. Do not merge. Create or update a pull request targeting main. Let a human review and merge.

Code Style

  • Follow the existing patterns in the codebase. Do not introduce new dependencies without justification.
  • Keep comments concise and explain why, not what.
  • Use the existing logger (pino) for all logging. Never console.log.
  • Environment-driven configuration via zod schemas. No config files.

Testing

  • Tests use vitest. Run npm test for the full suite.
  • Mock external dependencies (mnemonic, MongoDB, HTTP) — never hit real services in tests.
  • Each test file should be self-contained with its own fixtures.

Architecture Notes

  • src/proxy/handler.ts — the request path; where memory recall and injection happen.
  • src/memory/service.ts — the shared core for both the proxy and MCP endpoint.
  • src/mnemonic/client.ts — the MCP client with read/write queue separation.
  • src/cache.ts — TTL cache with hit/miss tracking.
  • src/telemetry.ts — Langfuse telemetry (noop when credentials are missing).
  • src/config.ts — all configuration, env-driven via zod.
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.

  1. 4d ago First seen · 32 lines · 430 tokens per session scan A 0004ed6a0f0f

Subscribe to this mod's changes

librechat-mnemonic AGENTS.md is an instructions file published in the GitHub repository dowlings/librechat-mnemonic (0 stars, last pushed yesterday), licensed MIT. It adds 430 tokens to every session, about $0.0022 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.

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