Codex CLI is an open-source, terminal-native AI coding assistant developed by OpenAI. Designed for developers who prefer working directly in the terminal, it integrates OpenAI's latest models (like o4-mini) to perform tasks such as reading, modifying, and executing code within a local environment. Codex CLI supports multimodal inputs, allowing users to pass text, screenshots, or diagrams to generate or edit code accordingly. It offers three distinct approval modes—Suggest, Auto Edit, and Full Auto—providing flexibility in how autonomous the agent operates. The tool emphasizes security by running in a sandboxed, network-disabled environment and ensures that your source code remains on your machine unless explicitly shared. With zero-setup installation and compatibility with macOS, Linux, and experimental support for Windows via WSL, Codex CLI aims to streamline the development workflow by bringing powerful AI capabilities directly to the command line.

Codex CLI

codex-cli

Open-source terminal-based AI coding assistant that reads, writes, and executes code locally with multimodal input support.

Cerebrum is the Software Development Kit (SDK) for AIOS, the AI Agent Operating System. It provides developers with tools to build, deploy, and manage large language model (LLM)-based AI agents. Cerebrum addresses challenges such as scheduling, context switching, memory management, and tool integration, facilitating the creation of efficient and scalable AI agents. The SDK features a modular architecture encompassing LLM, memory, storage, and tool management layers, and includes an Agent Hub for sharing and discovering agents with version control and dependency management.

Cerebrum: AIOS SDK

cerebrum-aios-sdk

An SDK for developing and deploying LLM-based AI agents within the AIOS framework.

Apple's Ferret-UI is a multimodal large language model (MLLM) designed to comprehend and interact with mobile user interfaces (UIs). It possesses referring, grounding, and reasoning capabilities, enabling it to identify UI elements such as icons and text, understand their spatial relationships, and execute tasks based on this understanding. Ferret-UI aims to improve user interactions by facilitating advanced control over devices through natural language commands, potentially enhancing accessibility and automation in mobile applications.

Apple Ferret-UI

apple-ferret-ui

A multimodal AI model for enhanced understanding and interaction with mobile user interfaces.

The Capability Collaboration based AI Agent (CACA Agent) is an AI system designed to enhance the extensibility and functionality of AI agents by integrating a set of collaborative capabilities. Inspired by service computing, it reduces reliance on a single large language model (LLM) and promotes an open architecture. CACA Agent introduces components such as Planning Capability, Methodology Capability, Tools Capability, Tool Broker, and Tool Service, which work together to provide AI agent functionalities. This design facilitates quick deployment of AI agents and convenient expansion of their application scenarios, allowing for dynamic tool integration and improved planning abilities. A demonstration of the system illustrates its operation and the extension of application scenarios.

CACA Agent

caca-agent

An AI system enhancing agent extensibility through collaborative capabilities.

PC Agent is an AI system developed by GAIR-NLP that facilitates the creation of autonomous digital agents by transferring human cognitive processes. It comprises three key components: PC Tracker, a lightweight infrastructure for collecting large-scale human-computer interaction data; a Cognition Completion post-processing pipeline that converts raw interaction data into cognitive trajectories; and a multi-agent system combining a planning agent for decision-making with a grounding agent for robust visual grounding. PC Agent aims to enable AI to perform complex digital tasks autonomously by learning from human interactions.

PC Agent

pc-agent

An AI system enabling autonomous digital agents through human cognition transfer.

Nova Act is an AI agent developed by Amazon's AGI SF Lab, designed to autonomously perform tasks within web browsers. It can conduct web searches, make purchases, schedule tasks, and follow detailed instructions, such as ignoring specific offers during transactions. Initially released as a research preview for developers, Nova Act is also being integrated into the upgraded Alexa Plus assistant. The agent aims to enhance productivity by handling complex, multi-step tasks, and is part of Amazon's broader initiative to create advanced AI agents capable of independent actions.

Nova Act

nova-act

An AI agent by Amazon that autonomously performs tasks in web browsers.

AutoGLM Rumination is an AI agent developed by Zhipu AI, capable of performing deep research and tasks such as web searches, travel planning, and research report writing. Powered by Zhipu's proprietary models, including GLM-Z1-Air and GLM-4-Air-0414, it offers enhanced performance and efficiency. The agent is available for free through Zhipu's official channels, including their website and mobile app.

AutoGLM Rumination

autoglm-rumination

A free AI agent by Zhipu AI for deep research and autonomous task execution.

MCP.so is a community-driven platform that collects and organizes third-party Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. The platform aims to facilitate the integration of AI models with external tools, data sources, and services by providing a comprehensive list of MCP Servers, enhancing the capabilities and functionalities of AI assistants.

MCP.so

mcp-so

A community-driven platform collecting and organizing third-party MCP Servers for AI applications.

Awesome MCP Servers is a GitHub-curated list compiling various MCP (Model Context Protocol) servers that allow large language models to interface with external tools, files, APIs, databases, and more. These servers empower AI agents to perform tasks beyond simple text generation by enabling them to access structured resources and execute contextual operations. The list features both production-ready and experimental implementations contributed by the community.

Awesome MCP Servers

awesome-mcp-servers

A curated list of Model Context Protocol (MCP) servers enhancing AI capabilities with external tools and data.

Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized interfaces for tool integration and configurations. By simplifying the integration of language model agents with external tools and data sources, Smithery accelerates the development of agentic AI applications.

Smithery

smithery

A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).

kagent is an open-source framework designed for DevOps and platform engineers to deploy and manage AI agents within Kubernetes environments. It provides predefined tools for AI agents to interact with cloud-native projects like Kubernetes, Prometheus, Istio, Argo, and Helm. These autonomous agents are capable of planning, executing tasks, analyzing results, and continuously improving outcomes, thereby automating complex operations and troubleshooting tasks in cloud-native operations.

kagent

An open-source framework enabling AI agents to automate Kubernetes operations.

Roo Code is an open-source autonomous AI agent designed to code, debug, and evolve software systems with minimal human input. It mimics a junior developer's workflow, using a cyclic process of planning, editing, running, and debugging code. Roo Code supports multi-turn coding sessions and automatically persists context across iterations. It is built on top of a task memory system, supports integration with your terminal and development environment, and is designed for continuous improvement through natural interactions.

Roo Code

roo-code

An autonomous open-source AI agent that can code, debug, and evolve software with minimal human intervention.

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