Browser Automation · Public

AgenticX

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 snapshot119 stars

16 forks · 2 contributors

Official first step Read manual preview Source repository

Publication status · 2026-05-25

What is AgenticX?

AgenticX 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/DemonDamon/AgenticX, https://github.com/DemonDamon/AgenticX#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.

RepositoryDemonDamon/AgenticX

119 stars · 16 forks

What it can do

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

Introduction to AgenticX

Related topics: System Architecture, Quick Start Guide

Sources: [enterprise/features/agents/README.md:1](https://github.com/DemonDamon/AgenticX/blob/main/enterprise/features/agents/README.md)

Quick Start Guide

Related topics: Installation Guide, Agent Core System

Sources: [examples/agenticx-for-intent-recognition/README.md](https://github.com/DemonDamon/AgenticX/blob/main/examples/agenticx-for-intent-recognition/README.md)

Installation Guide

System Architecture

Related topics: Core Abstractions, Agent Core System

Sources: [enterprise/features/agents/README.md](https://github.com/DemonDamon/AgenticX/blob/main/enterprise/features/agents/README.md)

Core Abstractions

Related topics: System Architecture, Agent Core System, Tool System and MCP Hub

Source: https://github.com/DemonDamon/AgenticX / Human Manual

Sources: https://github.com/DemonDamon/AgenticX, 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.

Stars119 stars

Forks16 forks

Contributors2 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

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

01
Desktop app fails on startup: agx serve failed to start (local API not a
github / github_issue
02
MCP will report an error upon startup: "[Errno 2] No such file or direct
github / github_issue
03
Machi launch failure on mac
github / github_issue
04
Windows: Document ingestion fails for PDF files (missing PDF reader libs
github / github_issue
05
UX: Cannot queue follow-up messages while `bash_exec` (or tool) is runni
github / github_issue
06
bash_exec fails to run any command on Windows (WinError 2)
github / github_issue
07
Community source 7
github / github_issue
08
AgenticX v0.3.8
github / github_release
09
AgenticX + Machi v0.3.7
github / github_release
10
AgenticX v0.3.6
github / github_release
11
AgenticX v0.3.5
github / github_release
12
README/documentation is current enough for a first validation pass.
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

pip install agenticx

Official start command · https://github.com/DemonDamon/AgenticX#readme · verified: yes

Human Manual

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

8+ sections · Human Manual

AgenticX Manual

AgenticX is a comprehensive multi-platform AI agent framework designed to enable intelligent autonomous agents ("分身", "avatars") capable of executing complex tasks across enterprise and de...

Open the full manual

AgenticX Human Manual
Table of Contents
Introduction to AgenticX
Related Pages
Overview
Platform Architecture
Architecture Diagram
Core Components

Introduction to AgenticX

Related topics: System Architecture, Quick Start Guide

Sources: [enterprise/features/agents/README.md:1](https://github.com/DemonDamon/AgenticX/blob/main/enterprise/features/agents/README.md)

Quick Start Guide

Related topics: Installation Guide, Agent Core System

Sources: [examples/agenticx-for-intent-recognition/README.md](https://github.com/DemonDamon/AgenticX/blob/main/examples/agenticx-for-intent-recognition/README.md)

Installation Guide

System Architecture

Related topics: Core Abstractions, Agent Core System

Sources: [enterprise/features/agents/README.md](https://github.com/DemonDamon/AgenticX/blob/main/enterprise/features/agents/README.md)

Core Abstractions

Related topics: System Architecture, Agent Core System, Tool System and MCP Hub

Source: https://github.com/DemonDamon/AgenticX / 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.