Hybrid AI Agents – Research Brief
My work at Actor is a bit more than development, architecture or operations. I started 2 research papers some time ago, both being incorporated in the product or architecture.
The one that I don’t have time to take it further and decided to share it here is called Hybrid AI Agents.
What is a Hybrid Agent?
A hybrid agent is an autonomous AI system that does not live in a single execution environment. It can run locally on private infrastructure, in a cloud provider’s compute, or at the edge. It can spawn, migrate, or delegate tasks between these locations at runtime based on the sensitivity of data, the cost of tokens, the required model capability, or compliance constraints.
Unlike a traditional cloud-only agent or a local model deployment, the hybrid agent treats its execution environment as a runtime variable. The decision of where to run is itself part of the agent’s logic.

The core concept is that a hybrid agent treats its execution environment as a runtime variable.
If anyone is interested in this topic and want to discuss it or take the research paper further and develop it completely, I can help. However I don’t have time to work on it alone and happy to share it for free.
Here’s the full details up to this point, a bit polished [Google Docs]


