Benchmark results and methodology here: https://github.com/AceIQ360/AceIQ360-Benchmark

The full system isn't open source yet - still deciding on licensing. But the benchmark repo has: - Complete results (500/500 on LongMemEval) - Raw logs showing each question/answer - Comparison with baselines

Happy to answer questions about the approach. The core insight: intelligent context organization beats raw context volume. No LLM calls for memory extraction - pure embedding-based retrieval using RudraDB (https://rudradb.com).

If you want to verify independently, I can provide API access.