Product Launch
anonymous
1 points
4 comments
Posted7 days agoActive6d ago
AceIQ360
mvplibrarydevelopers
Key Features
deterministic agentic memory systemrelationship-aware vector databasepure embedding-based
Tech Stack
RudraDB
Key Features
Tech Stack
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.
Unlike others who only share top-line numbers, I published every question, answer, and judgment. You can verify the 100% claim yourself.
Not affiliated with Hacker News or Y Combinator. We simply enrich the public API with analytics.