Rust: The Unlikely Engine Of The Vibe Coding Era

In 2025, something unexpected happened. The programming language most notorious for its difficulty became the go-to choice ...
GitHub

MemoryMesh - The SQLite of AI Memory

MemoryMesh takes a fundamentally different approach. Like SQLite revolutionized embedded databases, MemoryMesh brings the same philosophy to AI memory: a simple, reliable, embeddable library that just ...
marktechpost

A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation

In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system to persist user preferences, ...
marktechpost

How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...
IEEE

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning

Abstract: Owing to the huge success of generative artificial intelligence (AI), large language models (LLMs) have emerged as a core subclass, powering applications such as question answering, text ...
VentureBeat

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...
GitHub

AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management

. ├── scripts/ # Evaluation and analysis scripts │ ├── main.sh # Main evaluation script │ ├── ablation_attack.sh │ └── ablation_benign.sh ├── agentsys_benchmark.py # Main benchmark runner ├── ...