Introduction
Last updated
Last updated
Welcome to Liz, a lightweight framework for building AI agents.
Liz is a lightweight framework for building AI agents, inspired by Eliza from AI16Z but rebuilt with a strong focus on developer experience and control. Unlike other agent frameworks that abstract away the complexities, Liz provides direct access to prompts and model interactions, giving developers the power to build exactly what they need.
Direct LLM Control: Full access to prompts and model interactions
Zero Magic: Minimal abstractions for maximum understanding
Ultimate Flexibility: Build exactly what you need, how you need it
Liz follows an Express-style architecture, using middleware chains for processing agent interactions. This approach provides a clear, linear flow that developers are already familiar with, making it easy to understand and extend.
We believe the best way to build AI agents is to work closely with the prompts and build a set of composable units that can be strung together to make powerful agentic loops. Our approach is informed by Anthropic's research on constructing reliable AI systems.
Build agents with distinct personalities, capabilities, and interaction styles using a flexible character system.
Process interactions through customizable middleware chains for validation, memory loading, context wrapping, and more.
Built-in Prisma-based memory system for storing and retrieving agent interactions with flexible querying.
Support for multiple LLM providers through a unified interface, with structured outputs and streaming capabilities.
Liz is perfect for developers who:
Need fine-grained control over prompt engineering and LLM interactions
Want to build minimal or highly specialized AI agents
Prefer explicit, understandable code over magical abstractions
Are building production-ready AI applications that need reliability and control
