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Day 3: Memory, Skills & Multi-Agent Workflows
An agent that forgets everything after each conversation is a script with a good API. Today you give your agent a memory that survives past one session, teach it to write and reuse its own skills, and coordinate multiple agents working on different parts of a problem — all through the same describe-and-build workflow you have been using since Day 1.
What you'll cover
- Giving Agents Memory , storing and retrieving your own data so an agent's answers are grounded in something real.
- Long Context & Token Economics , managing context window size and cost as conversations and tasks grow.
- Building Reusable Skills , how an agent can write and reuse its own procedural skills, using the real mechanism a production framework ships.
- Multi-Agent Workflows & State , coordinating more than one agent on a task, with checkpoints and a human-approval gate for anything consequential.