Showing 3 open source projects for "browser testing tools"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
    Try Free
  • 1
    browserable

    browserable

    Open source and self-hostable browser automation library for AI agents

    Browserable is an open-source browser automation framework designed specifically for AI agents that need to interact with web interfaces in a human-like way. The project provides tools that allow automated agents to navigate websites, click buttons, fill out forms, and extract information from pages without manual scripting of each step. Built primarily in JavaScript, the framework offers both a developer-friendly SDK and a REST API that allow integration with AI applications and automation pipelines. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Easy DataSet

    Easy DataSet

    A powerful tool for creating datasets for LLM fine-tuning

    ...Beyond dataset creation, Easy-dataset also provides a built-in evaluation system with model testing and blind-test features, helping teams validate model performance using curated test sets.
    Downloads: 7 This Week
    Last Update:
    See Project
  • 3
    super-agent-party

    super-agent-party

    All-in-one AI companion! Desktop girlfriend + virtual streamer

    Super Agent Party is an open-source experimental framework designed to demonstrate collaborative multi-agent AI systems interacting within a shared environment. The project explores how multiple specialized AI agents can coordinate to solve complex tasks by communicating with each other and sharing information. Instead of relying on a single monolithic model, the framework organizes agents with different roles or capabilities that cooperate to achieve goals. Each agent may handle different...
    Downloads: 5 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next