When I look at an Agent project, I try not to “just read the README.” I walk a fixed checklist. Next time the project changes, the notes still line up.
First: what problem does it solve?
- Who is the user, and what are the inputs and outputs?
- Is it a chat assistant, a workflow orchestrator, or an autonomous agent with tools?
- What does success look like: one finished task, or an ongoing session?
Write the goal down. Architecture judgments need that yardstick.
Then: the execution path
I usually sketch one main path:
flowchart LR entry["Entry"] --> plan["Plan / route"] plan --> tools["Tools"] tools --> memory["Memory"] memory --> done["Done or fall back"]
In steps:
- Entry (UI / API / cron)
- Planning / routing (Planner, Router, or neither)
- Tools and outside systems (search, code, DB, third-party APIs)
- Memory and state (short context, long-term memory, session store)
- Stop conditions and failure fallbacks
A typical call as a sequence:
sequenceDiagram participant U as User participant A as Agent participant T as Tool participant M as Memory U->>A: Task A->>M: Read context A->>T: Call tool T-->>A: Result A->>M: Write state A-->>U: Answer
Most project differences sit in how tools and memory are traded off.
Finally: write three things down
- What it does well — patterns worth copying
- What I disagree with — why, and what I’d change
- A reusable checklist for the next build
More breakdowns will land here. If you have a project you want torn down, send it over.
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