Projects sharing features with Fara

OSWorld is an evaluation framework and multimodal agent benchmark designed to test the ability of large language models to complete complex tasks within virtualized operating system environments. It provides a virtualized desktop sandbox and a virtual machine orchestrator to deploy, snapshot, and reset cloud-based desktops, ensuring reproducible test states for AI agent interactions. The system distinguishes itself by providing an OS-level action space that translates model decisions into mouse clicks, keyboard inputs, and system commands. It employs a standardized interface to integrate vari

autoMate is an AI agent tool server and multi-model AI gateway that exposes local system tools and data to chat clients via a standard protocol. It functions as a computer use agent capable of controlling desktop interfaces and browsers to automate local system tasks through natural language. The project serves as a SaaS integration platform, bridging AI agents to third-party services such as GitHub, Notion, Slack, and Jira. It also operates as a personal knowledge management system that stores markdown notes and files using a hybrid keyword and full-text search memory system. The software f

jd-assistant is an e-commerce automation bot designed for the JD.com platform. It functions as an automated checkout script and task runner that monitors product stock and executes purchase sequences for high-demand items. The project specializes in flash sale automation, combining real-time stock monitoring with clock-synced task scheduling to trigger orders at specific timestamps. It manages the end-to-end purchase flow, including automated cart management and the submission of orders using predefined regional identifiers. The system includes capabilities for account and session management

jdsignbot is an automated agent designed to manage recurring account activities and incentive collection for the JD.com marketplace. It functions as a scheduled reward automator that performs daily check-ins to collect rewards without manual intervention. The bot specializes in e-commerce loyalty rewards, automating the process of claiming daily sign-in bonuses and points. It achieves this by simulating mobile device headers and managing authentication tokens to maintain persistent access to user accounts. The system integrates task scheduling and API interaction to run repetitive web task

This project is a collection of Python scripts and source code examples designed for learning programming fundamentals through practical application. It serves as a toolkit for web scraping and browser automation, alongside a library of utilities for data processing. The repository includes scripts for simulating human interactions to automate repetitive web tasks and online booking processes. It also provides a structured database of administrative divisions, including provinces, cities, and districts, for geographic data management and address validation. The collection covers capabilities

Nanobrowser is an AI browser automation tool and Chrome extension that uses large language models to execute complex, multi-step web workflows through a natural language interface. It functions as a multi-agent workflow orchestrator, coordinating specialized AI agents to plan strategies and interact with page elements to complete tasks. The system emphasizes local-first operations, acting as a local API manager that stores provider credentials and executes data processing within the browser to keep sensitive information and keys out of external servers. It utilizes a provider-agnostic API bri

Wiseflow is an AI business process automation suite and an orchestration framework for coordinating multiple specialized AI agents. It functions as a multi-agent collaboration platform where autonomous agents can spawn new instances and request assistance to resolve complex technical blockers and business workflows. The system distinguishes itself through a browser-based task executor that uses anti-detection techniques to scrape data and perform actions on websites that block bots. It further differentiates its setup process by using a chat-based conversational interface to collect user cont

UserScripts is a collection of JavaScript browser userscripts designed to modify website behavior and add custom functionality to web browsers. It serves as a multi-purpose toolset for web page content automation, web interface enhancement, and specialized web scraping and downloading. The project distinguishes itself through a wide range of specialized utilities, including a browser-based text transformer for character encoding and terminology mapping, and tools for bypassing content censorship. It provides advanced web scraping capabilities such as deciphering obfuscated download links, agg

UserScript is a collection of JavaScript userscripts designed to modify website behavior and appearance. It functions as a system for automating web tasks, modifying page structures, filtering content, and optimizing the retrieval of web assets. The project includes specialized utilities for accelerating file downloads from hosting platforms and enhancing cloud storage interfaces with advanced sorting and direct download options. It also provides tools for web content filtering to remove intrusive elements and keywords, alongside a web automator for handling repetitive site actions like login

RPA-Python is a robotic process automation framework for automating repetitive tasks across web browsers, desktop applications, and operating systems using Python scripts. It functions as a desktop process automator and browser automation tool designed to reduce manual labor and human error in digital workflows. The project includes an OCR screen data extractor for capturing snapshots and extracting text from images via optical character recognition. It also provides a system command wrapper for executing shell commands and managing local file operations, such as downloading files from URLs a

Omni is a browser-based productivity automation tool that operates as a local extension. It provides a command-palette interface to execute workspace actions and manage browsing sessions through text-based inputs. The system allows for local-source sideloading, enabling the software to run from a local directory rather than through a centralized extension marketplace. Capabilities cover browser tab management, including programmatically switching and organizing pages. It also includes tools for bookmark organization and history search, allowing users to filter and retrieve saved pages or pre

This project is a high-level Python library and wrapper for Selenium designed for web browser automation and functional testing. It provides a simplified interface for controlling browsers to execute automated workflows and end-to-end tests across Chrome and Firefox. The library distinguishes itself by replacing technical CSS selectors and identifiers with label-based element discovery, allowing elements to be located via visible text. It further simplifies browser control by automating window management through page titles and handling nested frame interactions without requiring manual conte

Tampermonkey is a userscript manager used for browser behavior modification and web page automation. It allows for the installation and management of custom scripts that inject JavaScript into web pages to change their appearance or functionality. The project enables cross-browser script synchronization to maintain a consistent set of modifications across multiple devices. It provides a mechanism to manage custom userscript collections and synchronize them via cloud accounts. The system covers a broad range of capabilities including the automation of repetitive tasks on specific websites and

This project is an LLM browser automation framework and AI agent browser interface. It serves as a control layer that translates natural language instructions into browser interactions using large language models, enabling AI agents to navigate and interact with web pages through standardized browser-control functions. The system functions as an RPA workflow orchestrator and headless browser management tool, capable of recording and replaying deterministic browser sequences to automate repetitive tasks. It distinguishes itself through stealth configurations, including residential proxies and

Browser Control is a command-line browser control tool written in Rust that communicates directly with browser instances using low-level remote debugging protocol commands over web sockets. It provides a stateless command-line interface that processes single terminal commands and outputs compact text or JSON for automated scripts and coding agents. The project manages real browser process lifecycles, connects to cloud-hosted sessions or local instances, and runs multi-step automation scripts from files or piped input streams. The utility features stable reference element mapping that generate

omlx is a local inference server designed to run large language models, vision models, and embedding models on Apple Silicon. It provides a private alternative to industry-standard AI endpoints by hosting a local API gateway that mirrors OpenAI and Anthropic specifications. The system distinguishes itself through specialized hardware optimizations, including continuous batching for high throughput and a tiered caching system that offloads memory blocks to SSD. It also functions as a Model Context Protocol host, enabling the integration of local models with external tools, agents, and structur

Fauxpilot is a self-hosted AI coding assistant and local inference server. It functions as a proxy and API gateway that redirects traffic from IDE plugins to a local large language model, allowing for AI-assisted programming without external cloud dependencies. The project provides a specialized API emulation layer that mimics coding assistant protocols and a standardized OpenAI-compatible interface. This enables supported code editors to use local models for completions and suggestions by overriding default proxy URLs. The system includes capabilities for downloading and deploying local mod

This project provides a dockerized AI workflow stack and orchestration templates for deploying a self-hosted AI environment. It establishes a localized infrastructure for building autonomous agents and model chains that process private data on-premises without external cloud dependencies. The environment is designed to support autonomous agent development, allowing models to dynamically select tools, execute shell commands, and interact with local file systems. It includes integrated vector database support to enable retrieval augmented generation and private document analysis. The stack cov

Automate your browser with GPT-4

MLC LLM is a machine learning compiler and inference engine designed to execute large language models locally across diverse hardware platforms, including desktop, mobile, and web environments. By utilizing machine learning compilation, the project transforms high-level model definitions into specialized, hardware-specific binary libraries. This process optimizes model weights and generates compute kernels tailored to the unique memory and processing characteristics of target graphics and mobile hardware. The engine distinguishes itself by providing a unified runtime abstraction that enables

GGML is a machine learning tensor library and neural network engine written in C. It functions as a compute-focused runtime designed to execute transformer-based models and perform complex mathematical operations on multi-dimensional arrays directly on local consumer hardware. The library distinguishes itself by enabling local inference for large language models and edge machine learning deployment without reliance on external cloud infrastructure. It achieves this through a tensor-based computation graph that organizes operations for efficient execution and memory management, alongside stati

all-in-one is a containerized deployment system designed to install and manage a complete suite of productivity and collaboration services. It functions as a cloud suite deployer that orchestrates the installation of a self-hosted content platform, incorporating necessary dependencies via Docker or Kubernetes. The project distinguishes itself by providing a web-based dashboard for orchestrating, updating, and monitoring the lifecycle of service containers. It also serves as a local AI inference server, enabling the execution of generative text models, image diffusion, and speech processing on

This is a collection of Python automation scripts and utility tools designed to handle repetitive technical tasks, system administration, and developer workflows. The project serves as a suite for task automation, data utility, and web automation. The collection includes specialized tools for multimedia processing, such as optical character recognition for extracting text from images, speech-to-text conversion, and real-time face and human body detection. It also features web scraping and monitoring capabilities to track product prices, fetch external API content, and automate interactions wi

Ollama is a cross-platform runtime for managing, serving, and executing large language models on local hardware. It functions as a model manager and orchestrator that allows for the downloading, updating, and organization of model weights and configurations to ensure private and offline inference. The system provides a local inference API and a RESTful interface for programmatic model lifecycle management and text generation. It utilizes a compiled C++ backend to handle tensor operations and memory management. To support various hardware configurations, the runtime employs dynamic GPU offloa

This project is an AI tool-calling gateway and RAG orchestration framework designed to ground large language model responses in verified context. It functions as a local inference server for running text generation and embedding models on-premise to ensure data privacy and reduce dependencies on external cloud services. The system operates as a rate-limited AI API, providing a decoupled backend that can be deployed as a standalone application programming interface with built-in request throttling to prevent service abuse. It implements retrieval augmented generation workflows by combining mo

UI-TARS is an LLM GUI automation framework and multimodal action grounding system. It functions as a GUI agent orchestrator and cross-platform device controller that uses large language models to interpret graphical interfaces and execute actions across desktop and mobile operating systems. The system translates model-generated coordinates into precise screen positions to interact with visual user interface elements. It employs a multimodal approach to interpret screen layouts and decomposes complex goals into multi-step trajectories through reasoning and error correction. The project provid