Showing 11 open source projects for "\browser"

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  • 1
    Browser Use

    Browser Use

    Make websites accessible for AI agents

    Browser-Use is a framework that makes websites accessible for AI agents, enabling automated interactions and data extraction from web pages.
    Downloads: 8 This Week
    Last Update:
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  • 2
    Notte

    Notte

    Opensource browser using agents

    Notte is an open-source browser framework that enables the development and deployment of web-based AI agents. It introduces a perception layer that transforms web pages into structured, navigable maps described in natural language, allowing agents to interact with the internet more effectively. Notte is designed for building scalable and efficient browser-based AI applications.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Skyvern

    Skyvern

    Automate browser-based workflows with LLMs and Computer Vision

    Skyvern uses a combination of computer vision and AI to understand content on a webpage, making it adaptable to any website. Skyvern takes instructions in natural language, allowing it to execute complex objectives with simple commands. Skyvern is an API-first product. Workflows execute in the cloud, allowing it to run hundreds of workflows at the same time. Skyvern's AI decisions come with built-in explanations, providing clear summaries and justifications for every action. Support for...
    Downloads: 14 This Week
    Last Update:
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  • 4
    OpenManus

    OpenManus

    No fortress, purely open ground. OpenManus is Coming

    OpenManus is an open‑agent AI framework focused on building versatile general-purpose agents capable of autonomously executing complex workflows — such as planning, browsing, tool invocation — all via a pluggable prompts and tools interface. It's being extended with reinforcement learning‑based tuning modules and designed for researchers and developers building custom AI agents.
    Downloads: 18 This Week
    Last Update:
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  • 5
    Qwen-Agent

    Qwen-Agent

    Agent framework and applications built upon Qwen>=3.0

    ...It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time. It acts as the backend for Qwen Chat among other use cases. Built-in Code Interpreter tool that can execute code (locally) as part of agent workflows.
    Downloads: 2 This Week
    Last Update:
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  • 6
    AIHawk

    AIHawk

    AIHawk aims to easy job hunt process by automating job applications

    AIHawk is an AGPL‑licensed AI agent focused on automating job applications. It scrapes job listings from corporate sites (or LinkedIn in forks) and uses LLMs to generate tailored applications, streamlining the process across multiple platforms—dubbed “revolutionary” by mainstream tech outlets.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Android Use

    Android Use

    Automate native Android apps with AI using accessibility APIs

    android-action-kernel is an open source Python library designed to let AI agents control and automate native Android applications running on real devices or emulators. It fills a gap in automation tooling by focusing on mobile-first workflows where traditional browser or desktop-based automation doesn’t work; such as logistics, gig work, field operations, and other industries reliant on phones or tablets. The project works by using Android’s accessibility API to extract structured UI state (as XML) from the device, which is then fed to a large language model (LLM) like OpenAI’s models for decision-making, and actions are executed via the Android Debug Bridge (ADB). ...
    Downloads: 0 This Week
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  • 8
    Gemini Fullstack LangGraph Quickstart

    Gemini Fullstack LangGraph Quickstart

    Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph

    ...The backend agent dynamically generates search queries based on user input, retrieves information via the Google Search API, and performs reflective reasoning to identify knowledge gaps. It then iteratively refines its search until it produces a comprehensive, well-cited answer synthesized by the Gemini model. The repository provides both a browser-based chat interface and a command-line script (cli_research.py) for executing research queries directly. For production deployment, the backend integrates with Redis and PostgreSQL to manage persistent memory, streaming outputs, & background task coordination.
    Downloads: 0 This Week
    Last Update:
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  • 9
    OAGI Python SDK

    OAGI Python SDK

    Python SDK for the Computer Use model Lux, developed by OpenAGI

    OAGI Python SDK is a Python client library for the Lux computer-use model that turns Lux into a programmable automation layer for operating human-facing software via vision and actions. It exposes the OAGI API in an ergonomic way, letting you trigger Lux in three main modes: Tasker for precise scripted sequences, Actor for fast one-shot tasks, and Thinker for open-ended, multi-step objectives. The SDK is designed around “computer use” as a paradigm, where the AI actually navigates...
    Downloads: 0 This Week
    Last Update:
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  • 10
    StudioOllamaUI

    StudioOllamaUI

    StudioOllamaUI is a local, portable interface for Ollama

    ...StudioOllamaUI is for you. Zero Installation: Works on a fresh Windows installation. No Python, no libraries, no drama. 100% Portable: Just like a portable browser. Unzip, run, and that's it. It doesn't clutter your registry or leave traces on your disk. AI for Everyone: No expensive GPU? No problem. Optimized to run smoothly on your CPU and RAM. Total Privacy: Everything stays on your machine. No data leaves for the cloud, and no hidden files are left on your system.
    Downloads: 63 This Week
    Last Update:
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  • 11
    Universe Starter Agent

    Universe Starter Agent

    A starter agent that can solve a number of universe environments

    ...Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements a version of the A3C (Asynchronous Advantage Actor-Critic) algorithm, adapted for the specific challenges of Universe environments (e.g., network latency, VNC streaming, asynchronous observations). The repo includes modules like train.py, worker.py, model.py, a3c.py, and envs.py to support training, parallel worker management, policy/critics, and environment wrappers.
    Downloads: 0 This Week
    Last Update:
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