How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
EdgeGPT is a reverse engineered API wrapper and programmatic client for interacting with Bing Chat and associated large language model services. It enables the retrieval of text responses, code snippets, and suggested questions through a structured interface.
The main features of acheong08/edgegpt are: Reverse-Engineered API Clients, Bing Chat API Wrappers, Chat Model Integrations, Quota-Bypass Rotation, LLM Clients, Cookie Rotation Systems, Browser Session Authentication, Persistent Session Managers.
Projects with overlapping indexed features include: ping/instagram_private_api — This Python library is a private API wrapper that provides programmatic access to Instagram features by communicating… m1guelpf/chatgpt-telegram — This project is a Telegram bot bridge that connects the Telegram chat interface to large language models. It functions… acheong08/chatgpt — This project is a command line AI client and API wrapper designed to facilitate interaction with a large language… thinkingjimmy/learning-prompt — Learning-Prompt is a collection of educational resources and step-by-step guides designed for mastering large language… memorilabs/memori — Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language… xtekky/gpt4free — This project provides a unified interface for interacting with a wide range of artificial intelligence services,…
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 Telegram bot bridge that connects the Telegram chat interface to large language models. It functions as a relay that routes user prompts to an artificial intelligence service and returns the generated text responses to the user. The application uses session token authentication to access language model services via browser-extracted cookies. Access to the bot is managed through a whitelist controller that restricts interactions to a predefined list of authorized user identifiers. The system is designed for containerized deployment to ensure consistent execution across diffe
This project is a command line AI client and API wrapper designed to facilitate interaction with a large language model. It functions as a terminal interface for sending multi-line prompts and receiving generated text, providing a means of conversational AI integration through a programmable interface. The system utilizes a reverse-engineered API interface and HTTP-based request simulation to communicate with the model. It includes an AI plugin manager that allows for the installation and management of external extensions to increase the functional capabilities of the language model. The imp
Learning-Prompt is a collection of educational resources and step-by-step guides designed for mastering large language model interaction and text-to-image tools. It provides a guided course on prompt engineering for large language models alongside tutorials for creating visual content with generative AI. The project utilizes a curated curriculum that organizes material into sequential lessons and modular tracks. Instruction is delivered through step-by-step tutorials and an iterative framework of drafting, testing, and refining prompts, using side-by-side comparisons of raw and optimized exam