Explainable Agents using Graphs
The best way to build AI agents that behave as expected
Correct the behavior of your Agent without any fine-tuning
HybridAGI was designed from the ground up to be easily corrected on the fly. By following a Behavior Graph, the Agent solely execute the steps provided.
Focus only on your Agent logic
HybridAGI lets you focus only on your Agent logic by abstracting the prompt engineering. Each steps of your agent is optimized for your usecase while ensuring an explainable behavior.
Powered by an hybrid vector/graph database
HybridAGI uses an hybrid vector/graph database to provide long-term memory to your Agent. By combining years of research in human cognition with the power of graphs you can build Agents like never before.