Notte is an open-source browser using an agent, designed to improve speed, cost, and reliability in web agent tasks through a perception layer that structures webpages for LLM consumption. It offers a full stack framework with customizable browser infrastructure, web scripting, and scraping endpoints.
This article details six practical use cases for Model Context Protocol (MCP) to automate workflows using AI agents and integrations with tools like Slack, Google Calendar, BigQuery, Linear, GitHub, and HubSpot. It highlights the impact of these automations on team efficiency and productivity.
Huginn is presented as a robust, open-source alternative to IFTTT, offering greater customization, privacy through self-hosting, and the ability to handle complex workflows with API integrations. While it requires more technical expertise than IFTTT, it provides significantly more power and control.
An article discussing the capabilities of Manus AI, a general AI agent that can think, plan, and execute tasks independently. Unlike other AI assistants, Manus can deliver results directly, making it highly efficient for various tasks.
This article explores the Model Context Protocol (MCP), an open protocol designed to standardize AI interaction with tools and data, addressing the fragmentation in AI agent ecosystems. It details current use cases, future possibilities, and challenges in adopting MCP.
Browser Use is a library that enables AI agents to interact with web browsers, making websites accessible for automated tasks. It includes features for browser automation, agent memory, and various demos showcasing its capabilities.
Discover how to fully automate Arduino development by integrating Claude code access to hardware. Enhance efficiency and innovation with this cutting-edge approach.
Learning Lua, the world's simplest programming language, can enhance programming skills, increase exposure to computer science, and improve software design skills.
The article discusses the emergence of AI agents in enterprise IT, highlighting Orby's development of Large Action Models (LAMs) designed for automating complex workflows. These models, unlike traditional LLMs, process actions such as application interactions and automate tasks in enterprise environments like Salesforce and SAP. The concept of 'traces,' sequences of actions for specific tasks, is used to fine-tune LAMs, and Orby's AI agent software stack allows for customization and scaling by technical personnel.
This article explores how you can use Node-RED, a visual programming tool, to enhance the functionality of your smart home. It provides examples of projects such as RFID-based access control, automated window blinds, thermostat, sprinkler systems, and light control, showing how Node-RED can simplify and expand home automation.
