LangGraph vs CrewAI vs Pydantic-AI vs Agents SDK (2026): Which to Pick
LangGraph vs CrewAI vs Pydantic-AI vs OpenAI Agents SDK compared on control, state, memory, streaming and production ops. A 2026 decision guide, not a benchmark.
MACE vs MatterSim vs Orb (2026): ML Interatomic Potentials
MACE vs MatterSim vs Orb machine-learning interatomic potentials for materials screening: accuracy, speed, training data and licensing. 2026 comparison for self-driving labs.
MCP Server Frameworks (2026): FastMCP vs Official SDK
MCP server frameworks compared: FastMCP vs the official Model Context Protocol SDKs vs alternatives - transports, auth, ergonomics, deployment. 2026 decision guide.
NATS JetStream vs Kafka (2026): Edge & IIoT Telemetry ADR
NATS JetStream vs Kafka for edge and IIoT telemetry: footprint, delivery guarantees, leaf nodes vs partitions, back-pressure and cost - a 2026 architecture decision record.
On-Device LLM Runtimes (2026): llama.cpp vs MLC vs ONNX
On-device LLM runtimes compared: llama.cpp vs MLC-LLM vs ONNX Runtime on edge SoCs - backends, quantization, throughput, memory and portability. 2026 decision guide.
Jetson Thor vs Hailo-10H vs Coral (2026): Edge Inference Pick
Jetson Thor vs Hailo-10H vs Google Coral for edge AI inference: TOPS/W, framework support, memory, price and the workload each wins. 2026 hardware decision guide.
Digital Product Passport Data Model (2026): GS1 vs AAS vs Custom
Digital Product Passport data model options compared: GS1 Digital Link vs Asset Administration Shell vs custom JSON-LD, EU ESPR deadlines, interop gaps. 2026 guide.
OPC UA FX vs MQTT Sparkplug B (2026): Which for Your UNS
OPC UA FX vs MQTT Sparkplug B compared for the Unified Namespace: machine-level field exchange vs enterprise event bus, TSN, payloads, when to bridge. 2026 decision guide.
AI Plasma Control for Tokamak Fusion: Reinforcement Learning (2026)
How reinforcement learning controls tokamak plasma: the magnetic-control problem, the RL controller architecture, sim-to-real transfer, safety interlocks and what still limits it.
Diffusion Policy for Robot Manipulation: Imitation Learning (2026)
Diffusion policy explained: how denoising diffusion models generate robot action sequences from demonstrations - visuomotor architecture, training, receding-horizon control and limits.