ai-agent-builder

name	ai-agent-builder
description	Build an AI agent with tools, memory, and multi-step reasoning. Use when the user wants a chatbot, reasoning agent, or multi-agent system.
license	MIT
compatibility	claude-code opencode github-copilot devin pi cursor

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.