Agent Memory, Tools and Reasoning Explained
How agent memory, tool-calling, and reasoning steps fit together, explained with a working example.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
1:1 or squad batch · join the community or channel
Suggested mentor
Ajay Prajapat
AI Systems Architect
15+ years of experience · Ex-Apple
About mentor & skills Visit siteinnovatewithajay.com
About the suggested mentor
Ajay Prajapat
AI Systems Architect
- 15+ years of experience
- Ex-Apple
AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.
Skills & expertise
- AI-assisted Development
- Full-stack Development
- AI Agents
- RAG & MCP
- System Design
- Project Reviews
- Prompt Engineering
- GenAI Architecture
A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.
Learn this topic with a mentor
Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.
- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Short-term memory: the conversation and context window
- 2Long-term memory: storing and retrieving information across sessions
- 3Tools: how agents access data and take actions
- 4Reasoning steps: planning, reflection and breaking tasks down
- 5How the three pieces interact in one working example
- 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
More topics in Agentic AI
Build Your First AI Agent in 60 Minutes
A step-by-step build of a simple working AI agent, from setup to its first completed task.
0 votes · View topic →
Agentic AI Explained: From Chatbots to Autonomous Agents
The practical difference between a chatbot and an autonomous agent, explained through real examples.
0 votes · View topic →
How AI Agents Actually Work
What's actually happening under the hood when an AI agent plans, acts, and responds — no black-box explanations.
0 votes · View topic →
Build a Multi-Agent System
Designing a system where multiple AI agents coordinate on a shared task, and where that coordination tends to break.
0 votes · View topic →
AI Agents for Developers
How developers can start building and testing their own AI agents inside a real codebase.
0 votes · View topic →
AI Agents for Business Operations
Where AI agents can realistically support recurring business operations tasks, and where human oversight stays essential.
0 votes · View topic →