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Integuru-AI/Integuru

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4,624 stars·361 forks·Python·AGPL-3.0·3 vuesinteguru.ai↗

Integuru

Integuru est un système d'agents et de frameworks pilotés par l'IA, conçu pour documenter les API non documentées et convertir le trafic réseau en scripts d'automatisation. Il fonctionne comme un framework d'automatisation d'API headless qui remplace les outils basés sur navigateur par des requêtes HTTP directes pour augmenter le débit et la fiabilité.

Le projet propose un agent de rétro-ingénierie basé sur LLM qui analyse le trafic réseau pour découvrir les API internes, ainsi qu'un moteur d'intégration en langage naturel qui transforme les descriptions textuelles de workflows en séquences d'appels API valides. Il inclut des outils pour extraire les formats de requête et de réponse afin de créer des spécifications techniques précises, et pour convertir les cookies de session capturés en scripts d'automatisation prêts pour la production.

Le framework couvre un large éventail de capacités, notamment l'ingénierie de schéma, la cartographie des dépendances de requêtes et la modélisation logique basée sur l'état pour gérer des workflows d'application complexes. Il fournit également une gestion automatisée de l'authentification pour les cookies de session et la vérification multi-facteurs afin de maintenir l'accès aux portails protégés.

Features

  • Headless API Automation Frameworks - Provides a headless framework that executes direct HTTP requests instead of browser automation to increase execution speed and reliability.
  • API Reverse Engineering - Analyzes network requests and session cookies to determine the exact sequence of endpoints required for a specific action.
  • Natural Language Workflow Generators - Transforms natural language descriptions of workflows into executable sequences of valid API calls and network requests.
  • API Request Translations - Converts human-readable descriptions of workflows into a sequence of production-ready HTTP requests and parameters.
  • API Schema Mapping - Automatically mapping request and response formats from network traffic to document undocumented endpoints and data fields.
  • Natural Language Automation - Convert natural language descriptions of desired data or workflows into production-ready API requests.
  • Custom Platform Integrations - Creates custom connections to specific services to automate tasks without relying on official public APIs.
  • Headless API Automation - Replacing slow browser-based RPA tools with direct HTTP requests to increase execution speed and reliability.
  • Workflow Automation Scripts - Produces runnable scripts that replicate browser workflows by calling platform endpoints in the required sequence.
  • Private API Wrappers - Creating custom connections to platforms by reverse engineering internal network traffic when no official public API is available.
  • Natural Language Code Generators - Converting plain text descriptions of desired actions into production-ready HTTP requests and automation scripts.
  • Session Management - Handles session cookies and multi-factor authentication flows to maintain persistent access to protected internal endpoints.
  • API Reverse-Engineering Tools - Extracts request and response formats from network traffic to create specifications for undocumented API endpoints.
  • Traffic-Based Reverse Engineering - Extracts request and response schemas by analyzing raw HTTP traffic to identify undocumented private API endpoints.
  • Traffic-Based Schema Extraction - Automatically extracts precise request and response specifications from captured network traffic to document undocumented endpoints.
  • Session and Cookie Automators - Handling session cookies and multi-factor authentication flows to maintain programmatic access to protected web portals.
  • Schema-Driven Code Generators - Produces runnable automation scripts by transforming discovered API specifications into executable request sequences.
  • HTTP Request Execution - Executes direct HTTP calls instead of browser automation to increase throughput and reliability.
  • Network Dependency Mapping - Creates a dependency graph of network calls to identify the exact sequence needed to trigger a target action.
  • Private API Automation Tools - Converts captured HTTP requests and session cookies into production-ready automation scripts for private platform integration.
  • Session and MFA Automation - Manages session cookies and multi-factor authentication flows, including phone and email verification, to maintain access to protected portals.
  • Application State Mapping - Identifies and maps various application states and branching paths to ensure automation handles real-world usage scenarios.
  • Request Sequence Graphing - Maps the exact sequence of network calls and their dependencies to recreate complex application workflows.
  • State-Driven Logic - Identifies branching paths and application states to ensure automation handles real-world edge cases and logic flows.
  • API Schema Generation - Creates detailed specifications of request and response formats including precise definitions for every data field.

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Questions fréquentes

Que fait integuru-ai/integuru ?

Integuru est un système d'agents et de frameworks pilotés par l'IA, conçu pour documenter les API non documentées et convertir le trafic réseau en scripts d'automatisation. Il fonctionne comme un framework d'automatisation d'API headless qui remplace les outils basés sur navigateur par des requêtes HTTP directes pour augmenter le débit et la fiabilité.

Quelles sont les fonctionnalités principales de integuru-ai/integuru ?

Les fonctionnalités principales de integuru-ai/integuru sont : Headless API Automation Frameworks, API Reverse Engineering, Natural Language Workflow Generators, API Request Translations, API Schema Mapping, Natural Language Automation, Custom Platform Integrations, Headless API Automation.

Quelles sont les alternatives open-source à integuru-ai/integuru ?

Les alternatives open-source à integuru-ai/integuru incluent : kr1s77/python-crawler-tutorial-starts-from-zero — This project is a Python web scraping tutorial and framework designed for building automated data extraction tools and… alufers/mitmproxy2swagger — mitmproxy2swagger is a tool that transforms captured mitmproxy network traffic into structured OpenAPI schemas for… nanmicoder/crawlertutorial — CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static… anandnet/harmony-music. jack-cherish/python-spider — This is a collection of Python scripts designed for extracting data from popular Chinese websites and mobile… killianlucas/open-interpreter — Open Interpreter is a coding agent that uses large language models to write and execute code directly on a local host…