How Autonomous AI Agents Think: Memory, Multi-Step Planning and Self-Improvement Loops
How Autonomous AI Agents Think: Memory, Multi-Step Multi-Steand Self-Improvement Loops How Autonomous AI Agents Think: Memory, Multi-Step Planning and Self-Improvement Loops The next generation of AI won’t just answer questions — it will think, plan, act, and reflect. Welcome to the world of autonomous AI agents. We’re stepping into a new era where AI models aren't just reactive but proactive. From building custom GPTs to deploying tools like AutoGPT and OpenAgents, developers and startups are now building agents that mimic human-like cognition: long-term memory, intelligent planning, and iterative -improvement. 🔍 What You’ll Learn How to give your LLM agent persistent memory Build a task planning system inside your agent (Plan → Act → Review) Use the Agentic Loop to reflect, improve, and self-correct over time 🧠 Part 1: Persistent Memory — Teaching Agents to Remember Most chatbots have amnesia. They generate impressive replies in one sessio...