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.
Cloud-native context layer that ingests documents, audio, video, and web data into semantic memory retrievable by agents via one API.
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.