DEDUPED Hot AI repos, turned into use cases Get 5 a day

How to design an AI agent with tools and memory with AI System Design

Use the agent, tool calling, MCP, and memory sections to scope an agent's design.

  • Research
  • Intermediate
  • 60 minutes
  • From the README
  • Any agent

Who it is forAn agent engineer who has been asked to build an AI agent that calls internal tools and remembers past sessions.

The problemAgents fail in predictable ways, and it is hard to decide how tools, MCP servers, and memory should fit together.

The outcomeA design for an agent that lists its tools, MCP usage, memory layers, and known failure modes to test.

What you need first

  • A web browser to open the README at https://github.com/amitshekhariitbhu/ai-system-design
  • Basic familiarity with software system design concepts such as caching, load balancing, and queues
  • A practice problem to design, such as a document Q&A assistant or a customer support agent

Steps

  1. Open the AI Agents and Agentic Systems section and read The Five Core Parts and Common Failure Modes.
  2. Read Tool Calling and Model Context Protocol (MCP), including When to use MCP and When MCP is overkill.
  3. Read Memory for AI Agents and decide which memory operations and layers your agent needs.
  4. Read Multi-Agent Systems only if your task needs more than one agent, and note the trade-offs section.
  5. Write the design as a list of tools, memory stores, and failure cases with one test for each failure case.

Prompt for your agent

Using the repo amitshekhariitbhu/ai-system-design, read the AI Agents, Tool Calling, MCP, and Memory sections and draft a design for the agent <target>. Output a table of tools, memory layers, and failure modes, each with a test. Verify that MCP is recommended only if the README's When to use MCP criteria are met.

Caveat. The guide describes agent design concepts and does not ship an agent framework, so the implementation depends on tools you choose separately.

Share: X LinkedIn Hacker News Email Copy link

Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page