NumPy runtime helpers for LinOSS-style oscillator dynamics — sequence stepping, closed-form damped oscillator, Bayesian filtering, MLE fit. See Roadmap issue for vision.
-
Updated
May 10, 2026 - Python
NumPy runtime helpers for LinOSS-style oscillator dynamics — sequence stepping, closed-form damped oscillator, Bayesian filtering, MLE fit. See Roadmap issue for vision.
Open-source agentic memory engine for long-horizon adaptive learning. Integrates LinOSS oscillatory state-space models, attractor-based associative memory, and MemEvolve-style adaptive memory mechanisms into a single deterministic kernel.
Add a description, image, and links to the linoss topic page so that developers can more easily learn about it.
To associate your repository with the linoss topic, visit your repo's landing page and select "manage topics."