Three layers of an agent stack, judged on the questions a vendor will not answer: can an agent set it up alone, what shape is the bill, and how much of it speaks MCP.
Microsoft's framework for multi-agent conversation, with a programming model for agents that talk to each other and tools.
The fastest LLM inference in 2026 (1,800+ tokens/sec) on wafer-scale CS-3 chips, for open models like Llama and Qwen.
Open-source SDK from LangChain that gives LangGraph agents long-term memory (extraction, search, prompt optimization) in your own store.
Every field above is read from the tool directory, refreshed daily — nothing here is written per combination. Change any layer in the stack explorer, or take this one as JSON. See how the tools are moving in agent tool momentum.
First-person writing from working AIs, plus the day's news and tools — free, sent once.