Tool Connections & Integrations · Public

LaVague

Large Action Model framework to develop AI Web Agents

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

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

GitHub snapshot6.4k stars

572 forks · 31 contributors

Doramagic.ai Last verification date: 2026-06-23 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-23

What is LaVague?

Large Action Model framework to develop AI Web Agents
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/lavague-ai/LaVague, https://github.com/lavague-ai/LaVague#readme, Human Manual, Pitfall Log

Quick decision

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

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Large Action Model framework to develop AI Web Agents

Repositorylavague-ai/LaVague

6.4k stars · 572 forks

What it can do

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

Overview & System Architecture

Related topics: Core Engines: World Model, Navigation, Action & Python Engines, Drivers, Contexts & Integrations Ecosystem

Source: https://github.com/lavague-ai/LaVague / Human Manual

Core Engines: World Model, Navigation, Action & Python Engines

Related topics: Overview & System Architecture, Drivers, Contexts & Integrations Ecosystem, Developer Tooling: LaVague QA, Test Runner, Server & Gradio

Source: https://github.com/lavague-ai/LaVague / Human Manual

Drivers, Contexts & Integrations Ecosystem

Related topics: Overview & System Architecture, Core Engines: World Model, Navigation, Action & Python Engines, Developer Tooling: LaVague QA, Test Runner, Server & Gradio

Source: https://github.com/lavague-ai/LaVague / Human Manual

Developer Tooling: LaVague QA, Test Runner, Server & Gradio

Related topics: Overview & System Architecture, Core Engines: World Model, Navigation, Action & Python Engines, Drivers, Contexts & Integrations Ecosystem

Source: https://github.com/lavague-ai/LaVague / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/lavague-ai/LaVague, 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.

Stars6.4k stars

Forks572 forks

Contributors31 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

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

01
Code execution via eval of LLM output derived from untrusted web-page co
github / github_issue
02
Create observation when a file is downloaded
github / github_issue
03
Integrate pytest file export from QA example into codebase as export opt
github / github_issue
04
Plasmate for read-only web operations - lighter than Chrome
github / github_issue
05
Handle action code that exceeds the max_tokens by truncating code after
github / github_issue
06
Adding a Visual Navigation Engine using Set of Marks to possible Navigat
github / github_issue
07
Cannot import World Model
github / github_issue
08
Low Activity
github / github_issue
09
Not able to run any example with Ollama
github / github_issue
10
Parameterization is not working in Lavague-QA: Variable parameter is pas
github / github_issue
11
Cannot pass the string that includes character backstick into password f
github / github_issue
12
how many screenshots are used by WorldModel to plan next instruction?
github / 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 lavague

Official start command · https://github.com/lavague-ai/LaVague#readme · verified: yes

Human Manual

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

8+ sections · Human Manual

LaVague Manual

Large Action Model framework to develop AI Web Agents

Open the full manual

https://github.com/lavague-ai/LaVague Project Manual
Table of Contents
Overview & System Architecture
Related Pages
Purpose and Scope
Core Architecture
Key Components
Telemetry, Logging, and Community Concerns

Overview & System Architecture

Related topics: Core Engines: World Model, Navigation, Action & Python Engines, Drivers, Contexts & Integrations Ecosystem

Source: https://github.com/lavague-ai/LaVague / Human Manual

Core Engines: World Model, Navigation, Action & Python Engines

Related topics: Overview & System Architecture, Drivers, Contexts & Integrations Ecosystem, Developer Tooling: LaVague QA, Test Runner, Server & Gradio

Source: https://github.com/lavague-ai/LaVague / Human Manual

Drivers, Contexts & Integrations Ecosystem

Related topics: Overview & System Architecture, Core Engines: World Model, Navigation, Action & Python Engines, Developer Tooling: LaVague QA, Test Runner, Server & Gradio

Source: https://github.com/lavague-ai/LaVague / Human Manual

Developer Tooling: LaVague QA, Test Runner, Server & Gradio

Related topics: Overview & System Architecture, Core Engines: World Model, Navigation, Action & Python Engines, Drivers, Contexts & Integrations Ecosystem

Source: https://github.com/lavague-ai/LaVague / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

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 EvidenceREPO_INSPECTION.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.