Much less hassle if it knows how to solve this problem out of the box – I've run servers for it and logged them to files and told it to read the logs but it's a lot of extra friction
AUTOMATION
-
DeepAgent Creates Autonomous Agents for Complex Task Automation
By
–
DeepAgent Automatically Creates On-The-Fly Agents To Automate More Complex Tasks
— Abacus.AI (@abacusai) 9 août 2025
Here it is creating an agent which in turn creates a browser extension pic.twitter.com/QEFOFTRrpgDeepAgent Automatically Creates On-The-Fly Agents To Automate More Complex Tasks Here it is creating an agent which in turn creates a browser extension
-
LangChain and Oxylabs Integration for Advanced Web Scraping
By
–
LangChain + Oxylabs Guide Integrate LangChain's AI framework with Oxylabs' Web Scraper API for advanced web scraping. Includes dedicated module, MCP server, and built-in solutions for IP blocking and CAPTCHAs. Learn more about the integration https://
oxylabs.io/blog/langchain
-web-scraping
… -
AI Agent Breakdown: Reasoning, Planning, Tools, and Autonomy
By
–
What is an AI Agent? Here’s your no-BS breakdown: – It reasons, plans, acts, learns, adapts, delegates
– Uses tools (web, APIs, data, memory)
– Works with goals, context, and system prompts
– Can be multi-agent, autonomous, or orchestrated
– Agent ≠ Agentic AI (don’t get -
Using AI Tools to Package Projects for Model Conversations
By
–
I'm starting to do some of this too. I have a script that packages all of the files of my project (which isn't a giant repo and fits just fine) uses `files-to-prompt`, then I start new conversation, copy paste, and ask a question at the end, and manually select appropriate model.
-
100+ Free AI Agent Tutorials Step-by-Step Code
By
–
100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
-
AI Agents vs RPA: Deployment Guide for Business Leaders
By
–
AI Agents vs RPA – What Every Business Leader Needs To Know AI agents and Robotic Process Automation (RPA) may sound similar, but they serve entirely different purposes: RPA follows fixed workflows; AI agents adapt, reason and interact autonomously. Knowing when to deploy each
-
MCP Protocol Limitations and Communication Challenges
By
–
Not much to be honest, maybe shout a bit louder? This problem is inherent to how MCP works.
-
From Dashboards to Self-Optimizing Systems: Data-Driven Autonomy
By
–
The transition from dashboards to self-optimizing systems shows not just a technical shift, but a deeper awareness that data is not a static tool, but a capability that grows and enables alignment between human intent and machine autonomy. Microblog @antgrasso #DataDriven
-
AI Reshaping Workplace Tasks: The Silent Colleague Effect
By
–
This isn’t about “job loss” headlines, it’s about how tasks are already shifting beneath the surface. For many, AI is now your silent colleague. #AI #FutureOfWork #TechNews #Technology #Tech #GenAI #IoT #Jobs #GAI #DataScience #GenerativeAI