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Microsoft: replace specialist agents with distributed skills over MCP

Tommaso Stocchi’s Sept 16 Agent Framework post argues many A2A specialists should become a SKILL.md plus typed MCP tools, with the parent advisor doing the reasoning. In a ski-resort demo, model calls fell from 6–7 to 3 and mean latency from 15.5s to 6.3s, while total tokens rose about 22%.

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CXAgent is a .NET terminal coding workbench where each agent and sub-agent can run on its own model

Shown on HN Nov 4, a one line curl install (no .NET needed) gives a local terminal agent that edits files and spawns worker agents on local models, Anthropic or any OpenAI compatible endpoint, with no CXAgent account or server. It asks before any shell command or anything outside your working folder, and the transcript shows every tool call, duration and cost…

Brainpot gives every AI on a team one shared MCP memory, so a fact saved in Claude reaches Cursor and ChatGPT

Shown on HN Nov 5, teammates connect Claude, ChatGPT, Cursor, Copilot or any MCP client to a shared pot of pages and short facts their AIs add, update and remove as they work, with per page read/write rules, versioned history and Markdown or JSON export. It runs no model of its own, keeps data encrypted per workspace on EU servers, and is free for one page and 50 facts…

Brainpot (Show HN)

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