Declarative YAML Agentic framework with Custom DSL
Building AI agents today feels like reinventing the wheel every time. Each team creates their own abstractions, their own flow control mechanisms, and their own ways to connect LLMs with tools. What if there was a better way? While building AI agents, I came to specific design decisions. I decided to gather them in a library and share with the community.
I was thinking: is it possible to define AI agents with simple YAML specifications? Can these be executed by any programming language while handling general tasks and providing a standardized design for sharing efficient solutions?
Think of how OpenAPI revolutionized API development. Instead of documenting APIs in code comments, OpenAPI provides a language-agnostic specification that generates client libraries, documentation, and tooling across multiple languages. Liman does the same for AI agents.
The core idea behind Liman is to define agent structures using manifests that incorporate basic, reusable components. These components are easily pluggable.
