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Memory is the missing ingredient in multi-agent AI systems. This article explores HMARS, a Hierarchical Multi-Agent Memory System for long-context reasoning, and examines how structured memory hierarchies unlock capabilities that flat memory systems simply cannot achieve.
GraphRAG has evolved from simple retrieval to sophisticated agentic context engineering. This article explores the ACE-GraphRAG framework that dynamically adapts retrieval context, explaining how it closes the representation-inference gap that plagues traditional GraphRAG implementations.
GraphRAG retrieval gets the attention, but extraction quality quietly governs end-to-end accuracy. A practical LLM pipeline for chunking, schema, extraction, entity resolution and evaluation — with runnable code.
We benchmark pi-l1-cache, a zero-dependency L1 in-memory cache extension for the pi coding agent. 138µs per request, honest about where the 100x hash claim breaks.
Practical results from serving DeepSeek's latest MoE mixture-of-experts model on dual DGX Spark systems with vLLM, DSpark speculative decoding, and Anemll optimizations.
Deep analysis of arXiv 2608.13759: Rust Offload brings CUDA/HIP-level GPU programming to Rust without vendor lock-in, using LLVM Offload for cross-vendor portability and Rust's type system for memory safety in kernels.