Perenna AGENTS.md

Perenna AGENTS.md is an instructions file for Codex, OpenCode from scarletkc/Perenna. It costs 1,347 tokens per session, scanned A, original, MIT.

Repository instructions for Perenna, a Python server that stores an agent's long-term memory as Markdown files and uses a rebuildable search index. They define where different project rules are documented.

In plain words
What is it for?
Use them when changing Perenna's storage, memory files, search indexing, MCP API, configuration, tests, documentation, or release workflow.
Why use it?
They help coding agents make changes that respect the project's architecture, data format, configuration, tests, and release process.

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/scarletkc/perenna/agents-md
Clone the repo
git clone --depth 1 https://github.com/scarletkc/Perenna

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 Perenna AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/scarletkc/perenna/agents-md.svg)](https://agentmods.dev/instructions/scarletkc/perenna/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/scarletkc/perenna/agents-md"><img src="https://agentmods.dev/badge/instructions/scarletkc/perenna/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,347 This file is loaded in full into every session.
When invoked 1,347 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 $0.01347 $0.01347
Opus 5 $0.00674 $0.00674
Sonnet 5 $0.00269 $0.00269
Haiku 4.5 $0.00135 $0.00135

Measured 5d ago against content hash 5bbfd7c67a03, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Perenna 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 5d 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 · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Perenna Agent Guidelines

These instructions apply to every change in this repository. Perenna is a Python 3.12+ MCP server that keeps permanent agent memory as Markdown in an independent Git repository and uses Vexor only as a rebuildable retrieval index.

Start with the project contract

Read Contributing before changing code. Its sections on architectural boundaries, Git operations, safety, documentation ownership, and the change workflow are requirements, not background material.

Use the document that owns the part being changed:

  • Architecture and Consistency model for storage, snapshots, locking, indexing, and failure behavior;
  • MCP API for tool names, schemas, actions, and structured results;
  • Memory file format for paths, frontmatter, normalization, identity, and revisions;
  • Configuration for CLI flags, environment variables, local paths, synchronization, and provider settings;
  • Testing for the current quality gates and test tiers;
  • Releasing for versioning, packaging, and the automated publication path.

Do not copy complete contracts between documents. Update the canonical owner and link to it from other surfaces that need context.

Environment

Use uv and the checked-in uv.lock; do not use the system interpreter or install project dependencies globally. Set up the development environment with the command under Set up the repository in Contributing, and run all Python tools through uv run.

Use temporary directories or an explicitly disposable PERENNA_HOME for tests and manual experiments. Never run destructive development checks against the user's normal ~/.perenna data.

Implementation boundaries

  • Treat committed Markdown in the configured memory repository as permanent truth. An index, cache, or remote synchronization failure must not disguise or undo an existing local commit.
  • Keep the core independent of MCP transport. Preserve both local stdio and single-owner OAuth-protected Streamable HTTP unless an approved product change says otherwise.
  • Keep the public surface to memory_read, memory_write, and memory_delete. Do not expose Git or index maintenance as agent tools.
  • Preserve exact schemas and strict validation. Reject unknown fields and invalid action combinations instead of guessing or silently degrading.
  • Keep mutations revision-guarded, path-scoped, and atomic. Runtime Git code must never merge, rebase, or force-push automatically.
  • Do not add speculative compatibility layers, generic transport interfaces, multi-user storage, an authorization server, or bundled TLS/reverse-proxy management without explicit approval.

Read the full file on GitHub · 135 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.

  1. 5d ago First seen · 135 lines · 1,347 tokens per session scan A 5bbfd7c67a03

Subscribe to this mod's changes

Perenna AGENTS.md is an instructions file published in the GitHub repository scarletkc/Perenna (36 stars, last pushed 5d ago), licensed MIT. It adds 1,347 tokens to every session, about $0.0067 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 2026-08-30.

Related

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