persistent-agent-runtime AGENTS.md

persistent-agent-runtime AGENTS.md is an instructions file for Codex, OpenCode from shenjianan97/persistent-agent-runtime. It costs 5,024 tokens per session, scanned A, original, Apache-2.0.

A project guide for a persistent runtime that keeps AI agents running over time. It maps the Java, Python, and TypeScript services, documentation, architecture, and common setup commands.

In plain words
What is it for?
Use it to navigate the codebase, find the API, worker, console, and model-discovery services, follow development plans, and run setup or test commands.
Why use it?
It gives a coding agent the project structure and working conventions before it changes code. This reduces time spent searching across services and documents.

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/shenjianan97/persistent-agent-runtime/agents-md
Clone the repo
git clone --depth 1 https://github.com/shenjianan97/persistent-agent-runtime

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 persistent-agent-runtime AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/shenjianan97/persistent-agent-runtime/agents-md.svg)](https://agentmods.dev/instructions/shenjianan97/persistent-agent-runtime/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/shenjianan97/persistent-agent-runtime/agents-md"><img src="https://agentmods.dev/badge/instructions/shenjianan97/persistent-agent-runtime/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 5,024 This file is loaded in full into every session.
When invoked 5,024 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 $0.05024 $0.05024
Opus 5 $0.02512 $0.02512
Sonnet 5 $0.01005 $0.01005
Haiku 4.5 $0.00502 $0.00502

Measured 4d ago against content hash 7832038a634a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

persistent-agent-runtime 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 · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Project Navigation

Project

Cloud-Native Persistent Agent Runtime — durable execution for AI agents.

Stack: Java + Spring Boot (API) · Python (worker) · TypeScript + React 19 + Vite (Console) · PostgreSQL · LangGraph. See ARCHITECTURE.md for full stack and rationale.

Documentation Map

  • docs/product-specs/ — What the system should do (vision, user stories, core concepts)
  • docs/design-docs/ — How to build it
    • core-beliefs.md — Architectural invariants
    • phase-N/design.md — Primary design doc per phase
    • langfuse/, agent-capabilities/, phase-3-plus/ — Cross-cutting and forward-looking
  • docs/exec-plans/active/ and docs/exec-plans/completed/ — Implementation plans
  • docs/LOCAL_DEVELOPMENT.md — Local setup and environment

Services

  • services/api-service/ — Spring Boot REST API (README)
  • services/console/ — React SPA (README)
  • services/worker-service/ — Python worker (README)
  • services/model-discovery/ — Model discovery service

Common Commands

make help        # list all targets with descriptions
make init        # first-time setup
make install     # install deps across services
make test        # unit tests (fast, no infra)
make e2e-test    # E2E on per-worktree isolated infra (DB 55433 on primary checkout; dynamic in worktrees)
make test-all    # unit + E2E
make start       # live stack: Console :5173, API :8080
make stop        # stop live stack
make status      # background-target status

# Python (worker) — always use the pinned venv:
services/worker-service/.venv/bin/python ...

New Phase Workflow

  1. Spec → Add phase sections to docs/product-specs/ (vision.md, user-stories.md, core-concepts.md)
  2. Design → Create docs/design-docs/phase-N/design.md
  3. Plan → Create docs/exec-plans/active/phase-N/ with plan.md, progress.md, agent_tasks/
  4. Execute → Implement per the task specs
  5. Archive → Move active/phase-N/completed/phase-N/
  6. Update status → Update STATUS.md

Read the full file on GitHub · 186 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. 4d ago First seen · 186 lines · 5,024 tokens per session scan A 7832038a634a

Subscribe to this mod's changes

persistent-agent-runtime AGENTS.md is an instructions file published in the GitHub repository shenjianan97/persistent-agent-runtime (154 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 5,024 tokens to every session, about $0.0251 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

Other instructions, from other repositories

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

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.

github/spec-kit · 7,104 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 · 5,182 tokens

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.

langchain-ai/langchain · 4,345 tokens

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).

microsoft/vscode · 5,001 tokens

next.js 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