ComfyUI in 2026: 7 Essential Updates and 1 Catch
ComfyUI 2026: the Comfy Desktop overhaul, AMD ROCm on Windows, NVFP4 performance, and the snapshot limitation the docs got wrong.
Category Open Source
Pinokio: 7 Essential Facts and 1 Security Caveat
Pinokio installs local AI apps with one click and no terminal. What version 8 added, what Bluefairy protects against, and the caveat nobody enables.
GLM-5.3-Flash: 6 Essential Facts and 1 Big Caveat
GLM-5.3-Flash explained: MIT-licensed multimodal performance at $0.15 per million tokens, what it takes to self-host, and the claims nobody has audited.
Best Embedding Models in 2026: 8 Compared for Real RAG Workloads
The best embedding models for RAG in 2026 — 8 compared by MTEB score, language coverage and self-hosting, plus how to actually choose.
LLM Inference Servers Compared: vLLM vs Ollama vs llama.cpp vs LM Studio (2026)
LLM inference server comparison for 2026 — vLLM, Ollama, llama.cpp and LM Studio, and the one question that decides which you need.
LLM Evaluation Tools in 2026: 7 Proven Ways to Test Your AI App
LLM evaluation tools compared for 2026 — RAGAS, DeepEval, LangSmith and more, plus how to build your first eval set in an afternoon.
Build an AI Agent From Scratch: 7 Steps, No Framework Needed
The agent loop is fifteen lines. Everything that makes an agent worth deploying is in the other 185. A working AI agent from scratch, in plain Python.
Local AI Agent: Build One That Runs Entirely on Your Own Hardware
A local AI agent runs the same loop as a cloud one. The model is the only thing that changes, and that one change decides how you write everything else.
Airflow vs Dagster vs Prefect: Choosing a Data Orchestrator in 2026
The three orchestrators disagree about something fundamental - whether to track tasks, assets or flows - and that disagreement predicts everything else. A practical comparison with a ten-minute decision guide.
Best Local LLMs in 2026: Ranked by How Much Memory You Have
Choosing a local LLM comes down to one number: how much memory you have. The best open models for 8GB, 16GB, 24GB and 48GB+ machines, plus quantisation explained and what local still does badly.