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browserable

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Basic Information

Browserable is an open source, self-hostable browser automation library designed to let developers build AI-driven browser agents that can navigate websites, fill forms, click buttons, and extract information. It provides a local admin dashboard for configuration and key management, a task management API, and multiple background services to run agent tasks. The project supports connecting to external LLM providers and remote browser providers so agents can interpret instructions and operate real or remote browsers. It can be run quickly via an npx initializer or deployed with Docker Compose for development. The README highlights example agent tasks such as shopping searches, academic paper retrieval, and course discovery, and reports a 90.4% score on the Web Voyager benchmarks, demonstrating its focus on automating web interactions for AI agents.

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805
App URL
https://github.com/browserable/browserable
Github Repository
https://github.com/browserable/browserable/blob/main/README.md

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App Details

Features
Browserable offers browser automation primitives for navigation, form filling, clicking, and data extraction and integrates with remote browser providers. It supports multiple LLM providers and custom functions for instruction processing. Deployment is supported via Docker Compose and a quick npx setup. The project exposes a JavaScript SDK (browserable-js) and a REST API for creating and waiting on tasks. The repository runs several coordinated services including a UI server, documentation server, task server, MongoDB with a web UI, Redis, and MinIO for object storage. Configuration options include LLM providers, storage solutions, database systems, remote browsers, and environment-driven settings. The README includes demo task examples and developer contribution guidance.
Use Cases
For developers and teams who need programmatic web interaction driven by large language models, Browserable provides an end-to-end platform to build, run, and manage browser agents. It reduces boilerplate by offering SDK and REST APIs to create tasks and collect results, plus prewired services for persistence, queues, and object storage. The self-hostable design and Docker Compose deployment allow teams to run the system locally or in private environments while configuring preferred LLMs and remote browser backends. Built-in admin UI and documentation simplify key and provider setup. The demos show practical use cases like shopping searches, arXiv retrievals, and course discovery, illustrating how agents can automate real web workflows.

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