What is persistent-agent-runtime AGENTS.md?

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.

Use it to navigate the codebase, find the API, worker, console, and model-discovery services, follow development plans, and run setup or test commands.

It gives a coding agent the project structure and working conventions before it changes code. This reduces time spent searching across services and documents.

How shenjianan97/persistent-agent-runtime configures Codex and OpenCod

Reuse

Borrowing it

Nothing to install: this file belongs to shenjianan97/persistent-agent-runtime. 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/shenjianan97/persistent-agent-runtime/main/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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/shenjianan97/persistent-agent-runtime/agents-md/github.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/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/shenjianan97/persistent-agent-runtime/agents-md"><img src="https://agentmods.dev/badge/instructions/shenjianan97/persistent-agent-runtime/agents-md.svg" alt="Reviewed on agentmods" width="80" 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. 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	$0.05024	$0.05024
Opus 5.5	$0.02010	$0.02010
Sonnet 5.5	$0.01005	$0.01005
Haiku 4.5	$0.00502	$0.00502

Measured 2mo ago against content hash 7832038a634a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

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

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

2mo 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 (152 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 5,024 tokens to every session, about $0.0201 per session on Opus 5.5. 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.

Building agents

persistent-agent-runtime AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
persistent-agent-runtime AGENTS.mdshenjianan97/persistent-agent-runtime	Instructions file	152	4mo ago	Apache-2.0	A	5,024	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

persistent-agent-runtime: Instructions file for Codex