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.
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.
curl -O https://raw.githubusercontent.com/Agent-Field/agentfield/main/AGENTS.mdgit clone --depth 1 https://github.com/Agent-Field/agentfieldWrote 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.
[](https://agentmods.dev/instructions/agent-field/agentfield/agents-md)<a href="https://agentmods.dev/instructions/agent-field/agentfield/agents-md"><img src="https://agentmods.dev/badge/instructions/agent-field/agentfield/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.
<a href="https://agentmods.dev/instructions/agent-field/agentfield/agents-md"><img src="https://agentmods.dev/badge/instructions/agent-field/agentfield/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00471 | $0.00471 |
| Opus 5.5 | $0.00188 | $0.00188 |
| Sonnet 5.5 | $0.00094 | $0.00094 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
agentfield 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.
How it starts
The opening of the file, as written. The whole thing — 18 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learned User Preferences
- Open-source AgentField should prioritize stable APIs and primitives so integrators can build advanced observability themselves; large packaged business or fleet observability belongs in Enterprise.
- The embedded OSS UI should stay a lightweight convenience layer, not the primary surface for org-wide analytics or governance-heavy views.
- Developer-facing observability belongs in OSS; deeper reliability and governance programs may span OSS and Enterprise.
- Avoid empty or placeholder PRs when stacking branches; prefer draft PRs with real implementation, then thorough review before marking ready.
- When designing or documenting control plane behavior, treat YAML configuration (
config/agentfield.yamlandAGENTFIELD_CONFIG_FILE) as a first-class surface alongside environment variables. - AgentField Desktop targets GitHub-comfortable developers (not infra experts); primary jobs are installing agent nodes from GitHub and seeing runs/cost as a local sub-harness for coding agents.
- Desktop UI should use shared theme tokens rather than hardcoded page styles; treat Agents as a marketplace-style library (installed agents + add), and design Activity for high-volume dense/filterable runs rather than large cards.
- Locked desktop decisions: gold/amber accent; cold-launch to Home when agents exist (add/empty flow when none); usage totals on Home plus Activity per-row when the API allows; keep the update banner across views.
Learned Workspace Facts
- Monorepo: Go control plane in
control-plane/, SDKs insdk/, embedded admin UI incontrol-plane/web/client/, Electron desktop app indesktop/. - Agent-node manifests (
agentfield-package.yaml) carry aconfig_version(schema version, e.g.v1; absent =v0) that is separate from the node's ownversion:. Bumpconfig_versiononly for breaking format changes, never for additive fields. The single reader ispackages.ParsePackageMetadata(control-plane/internal/packages/installer.go); the authoring contract lives indocs/installing-agent-nodes.md. - Desktop design/product specs live in
DESIGN.mdandPRODUCT.md. - Desktop featured-catalog copy is maintained in
desktop/src/shared/catalog.ts; post-install descriptions come from each agent'sagentfield-package.yaml(marketplace cards do not fetch YAML live).
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 · 18 lines · 471 tokens per session scan A cfaf86834c50
agentfield AGENTS.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 471 tokens to every session, about $0.0019 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.
agentfield AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentfield AGENTS.mdAgent-Field/agentfield | Instructions file | 2.6k | yesterday | Apache-2.0 | A | 471 | 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 | 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 |