I’ve just released Project Chimera v1.2, an open-source hybrid AI agent that blends neuro-symbolic reasoning with causal inference to tackle strategic decision-making problems.
Benchmarks:
I tested my Neuro+Symbolic+Causal Agent against LLM-Only agent and LLM+Symbolic agent. The full neuro-symbolic-causal agent outperformed all baselines.
* In brand-trust mode, it hit 1.000 trust and $2M profit, 43% ahead of the nearest rival.
What’s new in v1.2:
* Trust-Adjusted Profit Metric → balances short-term profit with long-term brand trust.
* Dynamic Strategic Personality → adapts its internal priorities based on the mission goal.
* Mandatory Rule Validation → ensures all hypotheses align with business constraints.
* Performance Boost → causal engine now initializes once per simulation (much faster).
* Multi-Scenario Benchmarking → run brand-trust, profit-maximizing, and balanced strategies in one command.
* Expanded Metrics + Live Strategy Feed → more meaningful KPIs and real-time decision logs.
GitHub: https://github.com/akarlaraytu/Project-Chimera
Live Demo: https://project-chimera.streamlit.app/
I’d love your feedback, questions, or ideas for new benchmarks. Contributions are welcome!
