cmux is a Ghostty-based macOS terminal designed for AI coding agents. It enhances developer interaction with AI agents by integrating vertical tabs, smart notification systems, and a built-in browser. cmux addresses the challenges of context switching and notification overload in multi-agent parallel workflows, offering tailored features like agent notification rings, a consolidated notification panel, and a scriptable in-app browser. Built as a native macOS application, it ensures fast startup and low memory usage, supporting advanced functionalities like SSH workspaces and Claude Code Teams.
CLIProxyAPI is a robust proxy server designed to streamline access to various Command-Line Interface (CLI) based Large Language Models. It unifies services like Gemini CLI, Antigravity, ChatGPT Codex, Claude Code, Qwen Code, and iFlow by encapsulating them into standard OpenAI/Gemini/Claude/Codex compatible API interfaces. This enables developers to seamlessly integrate and leverage their existing LLM subscriptions or CLI access via a standardized API. Key features include multi-account load balancing, OAuth support for Codex and Claude Code, multimodal input, function calling, and streaming responses. Deep integration with Amp CLI and IDE extensions, along with a reusable Go SDK, further enhances AI programming and application development efficiency.
LangChain is the leading agent engineering platform designed to simplify the development and deployment of applications powered by large language models (LLMs). It provides a robust framework for connecting interoperable components and vast third-party integrations, empowering developers to build sophisticated agents and LLM-driven applications. Key benefits include real-time data augmentation, guaranteed model interoperability, rapid prototyping, and production-ready features. Seamlessly integrated with LangGraph for advanced orchestration and LangSmith for observability, LangChain offers comprehensive end-to-end support for building high-performance, future-proof AI solutions.
LobeHub is a collaborative workspace designed for the co-evolution of humans and AI agents. It treats agents as the fundamental unit of work, allowing users to find, build, and coordinate agent teammates. Key highlights include the integration of the Model Context Protocol (MCP) for seamless tool connectivity, a library of over 10,000 skills, and structured, editable 'white-box' memory. LobeHub supports multi-model services, visual recognition, and complex workflows like projects and workspaces, providing a highly customizable and open-source environment for AI productivity.
Gemini Watermark Remover is an open-source tool designed for lossless removal of Gemini watermarks from AI-generated images. Instead of using unpredictable AI inpainting, it employs a mathematically exact 'Reverse Alpha Blending' algorithm built with pure JavaScript. The engine reconstructs precise Alpha maps to restore original pixels with zero loss, ensuring high-fidelity and reproducible results. It supports local processing, automatic watermark detection, and offers flexible usage as an online tool, userscript, CLI, and OpenClaw Skill across multiple platforms.
daily_stock_analysis, developed by ZhuLinsen, is an intelligent stock analysis system powered by large AI models. It automatically analyzes selected A-share, Hong Kong, and US stocks daily, generating a 'Decision Dashboard' with core conclusions, ratings, buy/sell points, risk alerts, and action checklists. The system supports automated delivery of analysis reports via multiple channels including WeChat Work, Feishu, Telegram, Discord, Slack, and email. It integrates multi-dimensional analysis (technical, real-time quotes, chip distribution, news sentiment), supports global markets, and incorporates various built-in market strategies (e.g., moving averages, 'Chan Lun', Elliott Wave). Users can also utilize a web-based workbench for manual analysis, configuration management, historical report viewing, backtesting, and AI Agent-powered strategy inquiries.
prompts.chat is the world's largest open-source AI prompt library, offering a curated collection of prompt examples for various AI chat models like ChatGPT, Claude, Gemini, and more. It provides an online platform for browsing and contributing prompts, along with interactive learning resources for prompt engineering and a game-based adventure for kids. The platform also supports self-hosting and various integrations including a CLI and Claude Code Plugin.
System Prompts Leaks is an open-source project that collects and curates system prompts, system messages, and developer instructions extracted from various popular AI chatbots and coding assistants, including ChatGPT, Claude, Gemini, Grok, Perplexity, and Meta AI. The project is regularly updated to incorporate new models and versions, serving as a centralized resource for researchers, developers, and enthusiasts. It aims to provide insights into the underlying operational mechanisms and predefined behaviors of different AI models, allowing users to understand their personalities, functionalities, and response logic across various scenarios.
GenericAgent is a minimalist, self-evolving autonomous agent framework with only ~3K lines of core code. Utilizing 9 atomic tools and a ~100-line Agent Loop, it grants any LLM system-level control over local computers, covering browsers, terminals, filesystems, keyboard/mouse input, screen vision, and mobile devices. Its design philosophy is to evolve skills rather than pre-loading them, automatically crystallizing execution paths into reusable skills after each task, fostering a personal skill tree that grows with use, all while being highly token-efficient.
One API is an open-source LLM management and distribution system that provides a unified access layer for dozens of AI models (OpenAI, Anthropic, Google Gemini, DeepSeek, etc.) using the standard OpenAI API format. It features high-performance load balancing, streaming support, comprehensive token/quota management, and flexible model mapping. With support for Docker deployment and multi-node scaling, it acts as a robust API gateway for developers to centralize and manage AI resource consumption efficiently.
Dify is an open-source, production-ready LLM application development platform engineered to significantly accelerate the entire development cycle from prototype to production. It offers an intuitive visual workflow canvas, integrating a powerful Retrieval Augmented Generation (RAG) pipeline for efficient document ingestion and retrieval. Dify also features advanced agent capabilities based on LLM Function Calling or ReAct, configurable with pre-built or custom tools. It provides comprehensive support for hundreds of mainstream proprietary and open-source LLMs, a robust Prompt IDE for prompt engineering and model performance comparison, and built-in observability features (e.g., Opik, Langfuse, Arize Phoenix). This empowers developers to rapidly build, deploy, and monitor complex AI applications and agents.
New API is a next-generation LLM gateway and AI asset management system developed by QuantumNous. As a feature-rich fork of One API, it aggregates various AI model providers (including OpenAI, Claude, Gemini, etc.) and provides a unified OpenAI-compatible interface. It features intelligent routing with weighted load balancing, automatic failover, and a comprehensive billing system supporting Stripe and EPay. With a modern dashboard and support for advanced features like Reasoning Effort, Realtime API, and OIDC authentication, it serves as a robust infrastructure for enterprise and personal AI resource management.
Open Multi-Agent is a lightweight, TypeScript-native multi-agent orchestration framework. By simply providing a goal, its built-in coordinator automatically decomposes the goal into a task DAG, parallelizes independent steps, and synthesizes the final output. With only 3 runtime dependencies, it seamlessly drops into any Node.js backend. Key features include mixing over 12 LLM providers within a single team, a sandboxed filesystem workspace, pluggable shared memory, and native integration with the Model Context Protocol (MCP) for tool extensibility.