Browser Automation · Public

agentsid

Browser automation project for web operations, testing, extraction, and permission-boundary checks.

Browser automationWeb tasksTest accountsCookie boundariesPermission control

Best fitDevelopers who need AI-assisted web tasks, browser testing, page extraction, or structured web operations.

Check whether this project matches your task before installing it.

What it can doBrowser automation task planning, permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot1 stars

1 forks · 4 contributors

Official first step Read manual preview Source repository

Publication status · 2026-05-25

What is agentsid?

agentsid supports browser task automation, web operations, or web data workflows.
Best fit: Developers who need AI-assisted web tasks, browser testing, page extraction, or structured web operations.
Not for: Not for workflows that cannot isolate browser state, account permissions, cookies, or real user data.
Capability added to an AI workflow: Browser automation task planning, permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify one minimal web task with an isolated browser profile and test account first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: The main risk is misusing browser state, account permissions, cookies, or real data during automation.
Evidence base: https://github.com/AgentsID-dev/agentsid, https://github.com/AgentsID-dev/agentsid#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need AI-assisted web tasks, browser testing, page extraction, or structured web operations.

Match the project to your task before installing it.

CapabilityBrowser automation task planning, permission boundaries, recovery steps, and acceptance checks

Browser automation project for web operations, testing, extraction, and permission-boundary checks.

RepositoryAgentsID-dev/agentsid

1 stars · 1 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Project Introduction

Related topics: Quick Start Guide, High-Level Architecture

Sources: [README.md:1-20]()

Quick Start Guide

Related topics: Project Introduction, Multi-Language SDKs

Sources: [web/src/pages/landing.tsx:1-50]()

High-Level Architecture

Related topics: Project Introduction, Backend API Reference, Deny-First Permission System

Sources: [README.md:1-15](https://github.com/AgentsID-dev/agentsid/blob/main/README.md)

Deny-First Permission System

Related topics: Token Authentication and Security, Approval Gates and Webhooks

Sources: [web/src/pages/spec.tsx:1-50]()

Token Authentication and Security

Related topics: Deny-First Permission System, Tamper-Evident Audit System

Source: https://github.com/AgentsID-dev/agentsid / Human Manual

Sources: https://github.com/AgentsID-dev/agentsid, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars1 stars

Forks1 forks

Contributors4 contributors

Licenseunknown

Community Discussion Evidence

1 source-linked item

Review these external discussions before using agentsid with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Project risk needs validation
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npm install @agentsid/sdk

Official start command · https://github.com/AgentsID-dev/agentsid#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

agentsid Manual

AI agents are increasingly accessing databases, sending emails, calling APIs, and making purchases on behalf of users. However, there has been no standard way to identify these agents, lim...

Open the full manual

agentsid Human Manual
Table of Contents
Project Introduction
Related Pages
Overview
The Problem
Why Traditional Auth Fails
Core Concepts

Project Introduction

Related topics: Quick Start Guide, High-Level Architecture

Sources: [README.md:1-20]()

Quick Start Guide

Related topics: Project Introduction, Multi-Language SDKs

Sources: [web/src/pages/landing.tsx:1-50]()

High-Level Architecture

Related topics: Project Introduction, Backend API Reference, Deny-First Permission System

Sources: [README.md:1-15](https://github.com/AgentsID-dev/agentsid/blob/main/README.md)

Deny-First Permission System

Related topics: Token Authentication and Security, Approval Gates and Webhooks

Sources: [web/src/pages/spec.tsx:1-50]()

Token Authentication and Security

Related topics: Deny-First Permission System, Tamper-Evident Audit System

Source: https://github.com/AgentsID-dev/agentsid / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start ManifestPROJECT_PACK.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

no_demo

medium

Review upstream issue

no_demo

low

Review upstream issue

issue_or_pr_quality=unknown。

low

Review upstream issue

release_recency=unknown。