lucid-agents-sdk

Build and monetize AI agents with the Lucid Agents SDK in TypeScript/Bun monorepos.

Updated Feb 3, 2026
One-click install
npx skills add https://github.com/reflecterlabs/skills_and_mcps --skill lucid-agents-sdk-reflecterlabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lucid-agents-sdk
Source: https://github.com/reflecterlabs/skills_and_mcps/tree/main/skills/daydreams/lucid-agent-sdk
Command: npx skills add https://github.com/reflecterlabs/skills_and_mcps --skill lucid-agents-sdk-reflecterlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Lucid Agents SDK helps developers build, monetize, and verify AI agents in a scalable TypeScript/Bun monorepo. It simplifies composing agent runtimes, HTTP adapters, identity, payments, and A2A communications.

Core Features & Use Cases

  • Extension-based architecture for modular agent capabilities (http, payments, identity, a2a, ap2).
  • Monorepo templates and adapters for Hono, Express, TanStack Start.
  • Guides and examples for building agent entrypoints, integrating payments, and deploying on-chain identity.

Quick Start

Follow the examples to create and run a minimal agent, add an HTTP extension, and build with the Lucid Agents toolkit.

Frequently Asked Questions about lucid-agents-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents in a TypeScript Bun monorepo?

To build AI agents in a TypeScript Bun monorepo, use an extension-based architecture with modular agent entrypoints, HTTP adapters, and CLI templates to compose agent runtimes and integrate identity and payments.

How do I add payments to an AI agent using TypeScript?

Adding payments to an AI agent requires integrating a dedicated payments extension within a modular TypeScript architecture, enabling scalable monetization and verification for agent runtimes.

Does the Lucid Agents SDK support Hono and Express adapters?

The Lucid Agents SDK supports Hono and Express adapters, providing monorepo templates that enable HTTP extension integration and agent runtime composition for TypeScript projects.

What is the best way to structure a scalable AI agent project?

The best way to structure a scalable AI agent project is using a modular extension architecture that separates runtimes, HTTP adapters, identity, payments, and A2A communications within a monorepo.

Can I use Zod schemas to validate AI agent workflows in a Bun environment?

You can validate AI agent workflows in a Bun environment using a v4 Zod schema system, which enforces strict TypeScript norms and modular extension architecture for agent development.

Why use a Bun-based build for TypeScript AI agents?

A Bun-based build for TypeScript AI agents enforces strict TypeScript norms and supports a modular extension architecture, ensuring scalable composition of runtimes, adapters, and identity workflows.