ai-agent-builder

# AI Agent Builder Design and build an AI agent that uses tools, memory, and reasoning. ## Agent types - **Reactive**: single-turn, no memory. Use for classification or simple Q&A. - **Conversational**: multi-turn with conversation memory. Use for chatbots. - **Tool-using**: calls external APIs. Use for actions and lookups. - **Reasoning**: plans and executes multiple steps. Use for complex tasks. - **Multi-agent**: specialized agents collaborating. Use for workflows. ## Tool design - Clear, action-oriented names. - Zod or Pydantic input schemas with constraints and examples. - Concise descriptions that explain when to use the tool. - Group related tools under a consistent prefix. ## Memory patterns - **Buffer memory**: keep last N messages. - **Summary memory**: summarize older turns to stay within context. - **Vector memory**: retrieve relevant facts semantically. - **Entity memory**: track entities mentioned across the conversation. ## Reasoning - **ReAct**: thought, action, observation, repeat. - **Planning**: plan first, execute each step, then synthesize. Always keep the agent's goal visible. Let it ask for missing information before acting. ## Output For a new agent, produce: 1. Architecture diagram or description. 2. List of tools with inputs and outputs. 3. System prompt. 4. Conversation flow example. 5. Deployment/integration notes. ## Guardrails - Never make up credentials or endpoints. - Escalate to human when confidence is low or stakes are high. - Keep tools read-only until the user explicitly approves writes.