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Google's Open Knowledge Format isn't a RAG killer — it moves the cost of making knowledge usable from query time to authoring time. Here's which one your agent actually needs.
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Three frontier coding models now carry the identical $2/$10 sticker. That makes price a tie — so the real decision is the harness you work in, the cache math, and the introductory-rate clock. Here's the one-screen pick and the method behind it.
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Most 'best open-source coder' lists rank models you can't run: GLM-5.3 is 744B, DeepSeek V3.2 is 685B, Kimi K3 is 2.8T. On hardware a solo founder owns, the real choice is narrow — and it's a Qwen. Here's what fits one GPU, what fits two, and what you should just rent an API for.
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Two open-source ways to build an agent, two opposite bets. LangGraph makes it a graph of nodes and edges you wire explicitly. NVIDIA's NOOA makes it a single typed Python class. Here's the axis-by-axis comparison — control flow, state, audit, memory, and speed — and a straight answer on which one your project should pick.
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Three ways to extend Claude Code, and founders keep picking the wrong one — building an MCP server when a skill would do, or writing a skill for something that needs live data. The rule of thumb is one sentence, and the 2026 answer is usually 'all three, layered.'
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Six weeks ago you could run all three agent-memory layers on your own hardware. You can't anymore — Zep deprecated its self-hostable Community Edition, so the choice is now as much about where the code runs as how it remembers.
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