Projects sharing features with Integuru

This is a collection of Python scripts designed for extracting data from popular Chinese websites and mobile applications. It functions as a multi-platform data extraction toolkit, capable of automating tasks such as downloading videos from platforms like Bilibili and Douyin, scraping product reviews and images from e-commerce sites like Taobao and JD.com, and booking train tickets on the 12306 railway system. The project distinguishes itself through its focus on automating specific, high-value tasks within the Chinese internet ecosystem. It includes capabilities for solving Chinese CAPTCHA c

This Python library is a private API wrapper that provides programmatic access to Instagram features by communicating with internal mobile endpoints. It functions as a social media automation toolkit for managing profiles, publishing media, and interacting with the social graph. The library uses a reverse-engineered API to mimic the communication patterns and request headers of mobile applications. It incorporates a session manager that persists authentication cookies and client metadata to maintain active logins and reduce the frequency of authentication handshakes. Its capabilities cover m

This project is a reverse engineering implementation and library designed to parse and decrypt the binary data streams used by the WhatsApp web client. It provides a WebSocket client library and tools to communicate with messaging servers by implementing reverse engineered protocol patterns. The system enables the development of custom clients and automation tools through the emulation of browser sessions and the management of persistent binary streams. It handles account authentication via QR code generation and pairing strings to link devices and maintain encrypted sessions. The project co

Open Interpreter is a coding agent that uses large language models to write and execute code directly on a local host machine. It functions as a system for performing operating system tasks and file manipulations through a natural language interface. The project features a model orchestrator that allows switching between different language model providers and emulation harnesses. It employs a loop-based reasoning process to iteratively generate code and process execution output until a goal is achieved. Its capabilities include cross-platform system automation, local model integration for da

01 is a voice-to-code agent and language model voice interface framework that enables natural language control of computers and devices. It functions as a real-time audio streaming server and a cross-platform voice client, translating spoken instructions into executable code to automate software, manage files, and browse the web. The system supports both local and cloud-based language models, alongside local or hosted speech-to-text and text-to-speech engines. It is designed for custom hardware integration, providing the means to build embedded AI voice controllers using microcontrollers like

UFO is a multi-device task orchestrator and LLM agent orchestration framework designed to decompose natural language requests into executable task graphs. It functions as a cross-platform UI automation tool capable of performing interactions on Windows and mobile devices while routing tasks to distributed agents based on their hardware and software capabilities. The system is distinguished by its RAG-enhanced agent architecture, which integrates external documentation and previous execution traces to improve decision-making. It employs a hybrid UI detection approach that combines computer vis

Llamacoder is an AI-powered web application generator that transforms natural language prompts into functional application prototypes. It uses large language models to synthesize code and layouts, enabling the creation of small-scale software and interactive user interfaces from text descriptions. The project specifically leverages the Llama 3.1 405B model to produce executable React components. It provides a self-hosted environment for generating and previewing interactive code artifacts, featuring a real-time preview loop and sandboxed component rendering to safely display generated interfa

This project is a multi-device synchronization tool and remote storage manager that maintains a mirrored state of data between a local machine and a remote server. It provides cloud file synchronization and cross-device data access, allowing local files and folders to be consistent across multiple computers. The client utilizes WebDAV for file management and synchronization, while employing the Open Collaboration Services API for account and session management. It integrates a cross-platform native wrapper to provide OS-level file system integration and includes a command line interface for m

Axonhub is an AI gateway and multi-model API proxy that provides a unified interface for routing requests to multiple large language model providers. It functions as a load balancer and translation layer, converting a standardized API format into provider-specific payloads to enable communication with various AI models without provider-specific code. The system manages traffic through rule-based routing and automatic failover to maintain high availability. It differentiates its operations by providing a provider-agnostic interface that decouples client requests from specific model backends us

Vision-agent is an AI system and visual data extraction framework that translates natural language prompts into runnable Python scripts for analyzing images and video. It functions as a multi-model vision orchestrator, using large language models to plan and generate executable code for tasks such as object detection, counting, and video tracking. The system employs a plan-and-execute cycle that iteratively generates and tests code, using an error-correction loop to refine the implementation until a solution is validated. It is configuration-driven, allowing the underlying language model back

Qwen2.5-Coder is a code-centric large language model designed to generate, complete, and analyze source code. It serves as a polyglot programming model capable of producing functional code across hundreds of different programming languages. The model is optimized for reasoning over extensive software repositories, utilizing a context window that supports up to one million tokens. It also functions as an agentic coding framework, executing multi-step workflows and browser tasks through specialized function call formats. Its capabilities include large-scale codebase analysis, intelligent parti

Granite Code Models is a family of transformer-based foundational models designed for software engineering and logical reasoning tasks. These models are trained on high-quality programming datasets to interpret natural language prompts and generate functional source code, explain complex logic, repair code defects, and produce technical documentation. The project distinguishes itself through specialized training methodologies that align model behavior with complex programming instructions and mathematical problem-solving. By utilizing chain-of-thought reasoning and instruction-tuned parameter

jdpro is a dockerized automation bot and scheduled task runner designed to automate reward collection and the conversion of expiring digital assets. It operates as a set of scripts deployed via containers to ensure consistent installation and execution across different hosts. The project includes a specialized authentication system that transforms raw keys and manages session cookies through environment variables to maintain automated login states. It also features a webhook notification manager that routes task updates to external services, utilizing keyword-based filtering and payload split

MechanicalSoup is a Python web automation library designed to simulate browser behavior. It functions as a toolkit for web scraping and automation, providing an HTML parsing engine and an HTTP session manager to interact with websites programmatically. The library enables headless web interaction by mimicking a real user session. It manages persistent state through cookie handling and automatic redirect following, allowing for programmatic website navigation and the simulation of complex browser interactions. Its capabilities cover automated form population and submission using CSS selectors

Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and software development. It provides specialized model types optimized for general code generation, instruction following, and context-aware infilling. The project includes an instruction-tuned programming model for executing technical tasks via natural language prompts and a code infilling model that predicts missing sections based on surrounding source context. A large context code model is also provided to analyze extensive blocks of source code for improved coherence. The system covers capab

Twikit is a Python library and API wrapper designed for interacting with X (Twitter). It simulates browser requests and mimics private network traffic to enable programmatic access to the platform without requiring an official API key. The project focuses on social media automation and data extraction, featuring tools for scraping user profiles, trending topics, and chronological tweet histories. It includes a session manager that handles user authentication, two-factor authentication, and cookie persistence to maintain active account access. The library's capabilities cover a broad range of

Accomplish is an artificial intelligence action framework and desktop automation agent designed to execute productivity tasks through natural language prompts. It functions as a workflow orchestrator that manages connections between various cloud and local language model providers to perform cross-platform operations. The system distinguishes itself through the ability to define and save stateful, reusable custom skills for recurring workflows. It integrates local application programming interfaces with third-party services to synchronize data and manage information across different platforms

Baserow is a no-code relational database and application builder that allows users to create structured data tables and business tools through a visual interface. It functions as a headless REST API data backend and a self-hosted data workspace, providing a platform for managing collaborative databases while maintaining full control over data residency. The platform integrates large language models to serve as an LLM-powered data platform, capable of generating database structures, record content, and technical workflows from natural language. It also acts as a Model Context Protocol server,

openapi-devtools is a browser extension and OpenAPI specification generator that captures network traffic to automatically document the API structures of websites and applications. It functions as an HTTP traffic capturer and browser-based documentation tool, mapping real-time network requests into standardized API specifications. The tool enables API reverse engineering by intercepting outbound HTTP traffic and using heuristic-based merging to combine headers, bodies, and parameters from multiple requests into unified endpoint definitions. These captured definitions can be visualized as huma

This project is a TypeScript-based private API SDK and automation framework for Instagram. It serves as a server-side toolkit for NodeJS that interfaces with undocumented API endpoints to programmatically manage profiles and automate account operations. The library focuses on mimicking authentic user behavior by simulating mobile application network traffic patterns and headers. It uses stateful session management to maintain authentication tokens and employs a sequence-based coordination model to execute complex workflows, such as multi-step media uploads. The framework covers several high-

utoipa is a Rust API documentation tool used to generate machine-readable OpenAPI specifications. It functions as a specification generator and schema mapper that converts Rust structs and enums into compliant OpenAPI schemas. The project distinguishes itself by using procedural macros and traits to automate metadata extraction from code. It supports complex data modeling, including generics, polymorphism, and recursive type resolution, while synchronizing field renaming and tagging from serialization attributes. It also enables the composition of modular specifications, allowing multiple sma

EvoAgentX is an agent platform that combines human-in-the-loop checkpoints, MCP tool integration, multi-agent workflow orchestration, and self-improvement capabilities. It functions as a self-improving agent framework that connects to MCP-compatible servers and orchestrates multi-agent workflows using natural-language goals, while also serving as a platform that discovers, configures, and manages tools from MCP servers for use in automated agent workflows. The platform distinguishes itself through a dual-memory agent architecture that maintains short-term and persistent memory stores, enablin

Evolver is a self-evolving AI agent framework that uses gene expression programming to autonomously improve agent behaviors through a continuous five-step loop of scanning, selecting, mutating, validating, and solidifying. It functions as an auditable evolution system that records every mutation and selection step, and can translate natural-language problems into executable Python code for automated grading and evaluation. The framework distinguishes itself through a distributed architecture that enables multiple agents to collaborate and share learned experiences across a network. It operate

Gop is a general purpose programming language and cross-language compiler designed to unify assets and libraries from multiple programming ecosystems into a single shared environment. It translates high-level source code into executable binaries using specialized backends tailored for different target environments. The project features a system for natural language programming, transforming human-readable instructions written in plain English into executable code. It also functions as a cross-language tool that imports and integrates external libraries and assets from different language ecosy

DevOpsGPT is an LLM-driven DevOps automation platform and AI software development agent. It transforms natural language requirements into functional code and automated deployments by coordinating codebase analysis, code generation, and delivery pipelines. The system features an automated code generation engine and a task-based decomposition engine that analyze project structures to produce context-aware code extensions. It utilizes a pluggable model integration system to connect with private or professional language model deployments for domain-specific development tasks. The platform manage

MechanicalSoup is a Python web automation library and scraping framework designed to simulate browser sessions and navigate websites without requiring JavaScript execution. It functions as an HTML parsing tool and HTTP session manager, allowing for the programmatic retrieval of page content and the automation of web interactions. The library distinguishes itself by combining session persistence with automated form interaction. It maps user data to HTML input fields and selection boxes for programmatic submission and maintains authenticated states by managing cookies and user-agent headers acr