IronClad AI Agent Research Series: Context Engineering, Multi-Tiered Memory, and Mathematical Foundations for Autonomous Local LLM Systems
This Zenodo archive deposits the foundational research white paper series for the **IronClad AI Agent**, a Rust-native autonomous agent orchestration runtime engineered specifically for local Large Language Models (LLMs) executing under strict consumer hardware constraints (8–24 GB VRAM, finite 8K–32K context windows,...