SODA: Self-Optimizing Deep Agents
What it is
SODA is a Python library that automates the configuration of LangChain Deep Agents by using an LLM to generate optimal sub-agents and orchestration prompts for specific tasks. It abstracts away the manual context engineering required to tune multi-agent systems.
The problem it solves
Manually configuring the correct sub-agents, prompts, and descriptions for Deep Agents is challenging and time-consuming.
What you could use it for
- Automatically generating sub-agent configurations for research tasks
- Optimizing orchestration prompts for deep agent workflows
- Reducing manual effort in tuning LangChain Deep Agents
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.