Beyond Monolithic AI: How to Build a Pluggable "Brain" Architecture for Autonomous Agents
The article discusses the need for a new architecture in AI agents that allows for flexibility and cost-effectiveness. It emphasizes the importance of decoupling the cognitive processes from specific large language model (LLM) providers. The proposed Hermes Agent architecture aims to create a pluggable system where the agent retains its learned knowledge while adapting to different processing units.
- ▪AI agents should not be monolithic but rather structured systems that can adapt to various LLMs.
- ▪The Hermes Agent architecture treats the LLM as a pluggable utility, allowing for cost-effective operation.
- ▪Key design patterns such as the Application Factory Pattern and the Strategy Pattern are essential for building resilient AI systems.
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