What is agentfield CLAUDE.md?

A project guide for AgentField, a system for deploying, coordinating, and monitoring AI agents. It describes the codebase, which contains a Go control plane, Python and Go libraries, and a React web interface.

Use it when installing dependencies, building AgentField, running the control plane, or understanding its components and storage options.

It gives coding agents the setup details and architecture they need before changing this multi-language repository.

How Agent-Field/agentfield configures Claude Code

About the project

AgentField is an open-source control plane that turns AI-agent code into callable APIs and coordinates its execution across workflows. Developers use it to route, queue, retry, trace, and scale agents written in Python, Go, or TypeScript, from individual agents to large fan-outs. Catalogue add-ons support working with AgentField and its agent-building workflow.

Agent-Field/agentfield · 2,644 stars · on GitHub · agentfield.ai

Reuse

Borrowing it

Nothing to install: this file belongs to Agent-Field/agentfield. 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/Agent-Field/agentfield/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/Agent-Field/agentfield

Made for: Claude Code.

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/agent-field/agentfield/claude-md/github.svg)](https://agentmods.dev/instructions/agent-field/agentfield/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/agent-field/agentfield/claude-md"><img src="https://agentmods.dev/badge/instructions/agent-field/agentfield/claude-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/agent-field/agentfield/claude-md"><img src="https://agentmods.dev/badge/instructions/agent-field/agentfield/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,675 This file is loaded in full into every session.

When invoked 3,675 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	$0.03675	$0.03675
Opus 5.5	$0.01470	$0.01470
Sonnet 5.5	$0.00735	$0.00735
Haiku 4.5	$0.00367	$0.00367

Measured 2mo ago against content hash 0751c9544e2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentfield CLAUDE.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.

CLAUDE.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

AgentField is a Kubernetes-style control plane for AI agents. It provides production infrastructure for deploying, orchestrating, and observing multi-agent systems with cryptographic identity and audit trails.

Architecture: Three-tier monorepo

Control Plane (Go): Orchestration server providing REST/gRPC APIs, workflow execution, observability, and cryptographic identity
SDKs (Python & Go): Libraries for building agents that communicate with the control plane
Web UI (React/TypeScript): Embedded admin interface for monitoring workflows and managing agents

Development Setup

Prerequisites

Go 1.23+
Python 3.8+
Node.js 20+
PostgreSQL 15+ (for PostgreSQL storage mode)

Initial Setup

# Install all dependencies
make install

# Or install components individually:
./scripts/install.sh

# Build everything
make build

Running the Control Plane

Local mode (uses SQLite + BoltDB, no external dependencies):

cd control-plane
go run ./cmd/af dev
# Or: go run ./cmd/agentfield-server

PostgreSQL storage mode:

# Run migrations first
cd control-plane
export AGENTFIELD_DATABASE_URL="postgres://agentfield:agentfield@localhost:5432/agentfield?sslmode=disable"
goose -dir ./migrations postgres "$AGENTFIELD_DATABASE_URL" up

# Start server
AGENTFIELD_STORAGE_MODE=postgres \
AGENTFIELD_DATABASE_URL="postgres://agentfield:agentfield@localhost:5432/agentfield?sslmode=disable" \
go run ./cmd/agentfield-server

Docker Compose (includes PostgreSQL):

cd deployments/docker
docker compose up

Control plane runs at http://localhost:8080 Web UI accessible at http://localhost:8080/ui/

Common Commands

Building

make build                 # Build all components
make control-plane         # Build control plane only
make sdk-go               # Build Go SDK
make sdk-python           # Build Python SDK

Read the full file on GitHub · 344 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 · 344 lines · 3,675 tokens per session scan A 0751c9544e2e

Subscribe to this mod's changes

agentfield CLAUDE.md is an instructions file published in the GitHub repository Agent-Field/agentfield (2,644 stars, last pushed yesterday), licensed Apache-2.0. It adds 3,675 tokens to every session, about $0.0147 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.

LLM agent agent-indentity agentic-ai ai genai

agentfield CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agentfield CLAUDE.mdAgent-Field/agentfield	Instructions file	2.6k	yesterday	Apache-2.0	A	3,675	Claude Code
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	today	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

agentfield: Instructions file for Claude Code