AI Agents News: Autonomous Agents, Frameworks & Deployments 🤖 AI Agents
AI agents moved from demo to production faster than most teams expected. This page follows the whole category: coding agents and their IDE integrations, browser and computer-use agents, multi-agent orchestration frameworks, tool-calling standards like MCP, and the evaluation work that tries to establish which agents actually finish the tasks they start. Agent security gets its own attention here — prompt injection, tool poisoning and credential leakage — and we cover the incidents and the mitigations as they appear.
Quick Answers
AI Agents — Frequently Asked Questions
An AI agent is an AI system that can take actions autonomously — browsing the web, writing and running code, calling APIs, or interacting with software — to complete a goal, rather than just generating a response.
A chatbot responds to prompts in a single turn. An AI agent plans multi-step tasks, uses tools, retains memory across steps, and can act on your behalf in the real world without constant human input.
It depends on the agent, its access level, and how it is sandboxed. Current best practice is to grant minimal permissions, log all actions, and review agent outputs before irreversible actions are taken.