spring-ai-agentcore: Instructions file for Codex

AGENTS.md

spring-ai-agentcore AGENTS.md is an instructions file for Codex, OpenCode from spring-ai-community/spring-ai-agentcore. It costs 1,576 tokens per session, scanned A, original, Apache-2.0.

Project guidance for AI coding assistants working on a Spring Boot starter that connects applications to Amazon AgentCore Runtime, memory, and related tools.

In plain words
What is it for?
Use it to understand the runtime contract, artifact storage, memory integration, browser automation, code interpreter, examples, and helper scripts.
Why use it?
It gives an assistant the project map and explains what the main modules and classes are for, reducing guesswork when changing code.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is spring-ai-community/spring-ai-agentcore's own configuration. It tells Codex and OpenCode how to work on spring-ai-agentcore itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything spring-ai-agentcore configures →

Reuse

Borrowing it

Nothing to install: this file belongs to spring-ai-community/spring-ai-agentcore. 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/spring-ai-community/spring-ai-agentcore/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/spring-ai-community/spring-ai-agentcore

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.

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README.md
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Your own site
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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.

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<a href="https://agentmods.dev/instructions/spring-ai-community/spring-ai-agentcore/agents-md"><img src="https://agentmods.dev/badge/instructions/spring-ai-community/spring-ai-agentcore/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,576 This file is loaded in full into every session.
When invoked 1,576 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01576 $0.01576
Opus 5.5 $0.00630 $0.00630
Sonnet 5.5 $0.00315 $0.00315
Haiku 4.5 $0.00158 $0.00158

Measured 23d ago against content hash cf858c857f3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

spring-ai-agentcore 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 23d 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 · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides context for AI coding assistants working on this project.

Project Overview

Spring Boot starter that enables Spring Boot applications to conform to the Amazon AgentCore Runtime contract. Provides auto-configuration for AgentCore endpoints and Spring AI integration with AgentCore Memory service.

Architecture

spring-ai-agentcore/
├── spring-ai-agentcore-artifact-store/    # Shared artifact storage
├── spring-ai-agentcore-runtime-starter/   # Runtime starter (invocations, ping, SSE)
├── spring-ai-agentcore-memory/            # Memory integration (STM + LTM)
├── spring-ai-agentcore-browser/           # Browser automation tools
├── spring-ai-agentcore-code-interpreter/  # Code interpreter tools
├── spring-ai-agentcore-payments/          # Payments data plane (x402)
├── examples/                                       # Working examples
└── scripts/                                        # Helper scripts

Key Components

Module Purpose Entry Point
artifact-store Session-scoped artifact storage ArtifactStore.java, CaffeineArtifactStore.java
starter AgentCore Runtime contract AgentCoreAutoConfiguration.java
memory Spring AI ChatMemory + Session API integration AgentCoreShortTermMemoryRepositoryAutoConfiguration.java, AgentCoreLongTermMemoryAutoConfiguration.java, AgentCoreSessionRepositoryAutoConfiguration.java
browser Browser automation tools AgentCoreBrowserAutoConfiguration.java
codeinterpreter Code execution tools AgentCoreCodeInterpreterAutoConfiguration.java
payments x402 payments: AgentCorePaymentsTemplate, AgentCorePaymentsClientHttpRequestInterceptor (RestClient), paidHttpRequest + query tools, PaymentToolCallback AgentCorePaymentsAutoConfiguration.java

Artifact Store Classes

Class Purpose
ArtifactStore<T> Interface for session-scoped artifact storage with optional category support
ArtifactStoreFactory<T> Factory interface for creating artifact stores
CaffeineArtifactStore<T> Caffeine-backed implementation with TTL
CaffeineArtifactStoreFactory<T> Factory for creating CaffeineArtifactStore instances
GeneratedFile Immutable artifact record (mimeType, data, name, metadata)
ArtifactMetadata Utility for metadata extraction
SessionConstants Session ID constants

Read the full file on GitHub · 140 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. 23d ago Changed · +9 tokens per session cf858c857f3c
  2. 25d ago Changed · +2 lines · +70 tokens per session 0f9d699f92cc
  3. 1mo ago Changed · +3 lines · +127 tokens per session ecce5e10bc7a
  4. 2mo ago First seen · 135 lines · 1,370 tokens per session scan A 9abab25b115a

Subscribe to this mod's changes

spring-ai-agentcore AGENTS.md is an instructions file published in the GitHub repository spring-ai-community/spring-ai-agentcore (72 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,576 tokens to every session, about $0.0063 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.

Related

spring-ai-agentcore AGENTS.md compared with instructions from other repositories

spring-ai-agentcore AGENTS.md next to 6 instructions from other repositories
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spring-ai-agentcore AGENTS.mdspring-ai-community/spring-ai-agentcoreInstructions file723d agoApache-2.0A1,576Codex, OpenCode
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vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode