gurobokum/liman
Declarative YAML-based AgentOps framework for building composable AI agents
This project helps AI developers build complex AI agents by defining their structure and behavior in a clear, code-first YAML format. You input YAML manifests describing your agent's components, like language model interactions and tool integrations, and it outputs a runnable, composable AI agent. It is ideal for engineers creating sophisticated AI applications that require structured, maintainable agent design.
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Use this if you are a developer looking for a declarative way to design and manage the workflows of your AI agents, especially those involving multiple steps, conditional logic, and external tools.
Not ideal if you need a simple, single-purpose script for an AI task or if you are not comfortable working with code and configuration files.
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Python
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Last pushed
Oct 05, 2025
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