Show HN: Project Chimera – Hybrid AI Agent Combining LLM, Symbolic, and Causal(github.com)
github.com
Show HN: Project Chimera – Hybrid AI Agent Combining LLM, Symbolic, and Causal
https://github.com/akarlaraytu/Project-Chimera
3 comments
Where did you hear this ? I too have heard of this project
It is my project actually, try to build a hybrid agent for a while.
Happy to answer questions about architecture, simulation setup, or causal retraining.
- Neuro (LLM) for creative strategy generation
- Symbolic for enforcing business rules and safety constraints
- Causal for predicting the long-term impact of actions
I tested this hybrid agent in a 52-week realistic e-commerce simulation with dynamics such as price elasticity, brand trust, ad ROI, and competitor effects.
Key results:
- Outperformed LLM-only and LLM+Symbolic baselines
- Avoided catastrophic losses by simulating long-term causal impact
- Achieved nearly 2× profit improvement through periodic causal retraining
Resources:
- Live demo: https://project-chimera.streamlit.app/
- GitHub: https://github.com/akarlaraytu/Project-Chimera
I’d appreciate feedback from the HN community — especially on methodology, experiment design, and potential real-world applications beyond e-commerce.