All published AI Radar articles.

The `ksimback/hermes-ecosystem` GitHub repository hosts Hermes Atlas, a community-driven map designed to catalog tools, skills, and integrations for the Hermes Agent developed by Nous Research. This project aims to provide a centralized resource for developers working with or interested in the Hermes Agent.

WMUX is a TypeScript-based workspace multiplexer designed for AI agents, facilitating browser automation and multi-agent operations. It integrates with various AI models like Claude and Gemini, offering a structured environment for AI-driven development tasks. The project recently received an update, indicating active development.

Oh My Agent is a TypeScript-based agent harness designed for creating portable, vendor-agnostic AI agent teams. It facilitates the integration of project-specific skills and workflows, aligning them with existing codebases and engineering standards. The project recently saw a fresh release, indicating active development.

Agentlas-OS is a newly released GitHub project that provides a local-first operating system for AI agents. It is designed to manage specialist agents within a central hub and dynamically deploy temporary orchestrators for specific tasks, supporting various AI models.

The `artokun/comfyui-mcp` project introduces a local-first, agent-native control plane for ComfyUI, integrating an MCP server with a Claude Code plugin. It offers 108 tools and 29 AI skills, enabling users to author and run workflows, edit live graphs using natural language, and manage models and custom nodes. The project supports local, LAN, VPS, or Comfy Cloud deployments.

OpenAI has released an update for its Codex Command Line Interface (CLI), bringing it to version 0.146.0. This update is part of the ongoing development of the Codex platform, which provides AI-powered coding assistance.

The GitHub repository `israriqbal/agent-ecologies` presents a project focused on developing a multi-agent operating system for autonomous AI NPCs. The project aims to create an environment for AI agents, potentially for use in simulations or games, with a stated target of 2026.

The `simonlin1212/TradingAgents-astock` repository presents a multi-agent investment research framework specifically adapted for the A-share market. It integrates seven AI analysts that engage in debate and decision-making based on A-share market rules, leveraging data sources such as Dragon Tiger List, institutional investor activities, and解禁 (lifting of trading restrictions). The project is built upon a deep modification of the `TradingAgents` framework, tailored for the Chinese A-share market.

OpenSteer is an open-source AI browser automation framework developed by Steerlabs. It is designed to facilitate the creation of AI agents capable of interacting with web browsers, leveraging tools like Playwright. The project is written primarily in Python and has recently seen its v0.10.2 release.

TradingAgents-astock is an open-source multi-agent investment research framework designed for the A-share market. It adapts the original TradingAgents framework to incorporate A-share specific data sources and rules, featuring seven AI analysts that engage in debate and risk assessment for decision-making.