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Agentic AI

Agent Memory, Tools and Reasoning Explained

How agent memory, tool-calling, and reasoning steps fit together, explained with a working example.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Short-term memory: the conversation and context window
  2. 2Long-term memory: storing and retrieving information across sessions
  3. 3Tools: how agents access data and take actions
  4. 4Reasoning steps: planning, reflection and breaking tasks down
  5. 5How the three pieces interact in one working example
  6. 6Common mistakes: too much context, vague tools and unbounded loops

Who it's for

  • • Developers building or evaluating agents
  • • Technical learners wanting a deeper understanding

You'd leave with

  • A clear model of memory, tools and reasoning
  • Design tips for each component
  • A worked example to reference later