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Tsinghua's THUNLP, ModelBest and OpenBMB release open-source PilotDeck 2.0 agent OS

AI summary

Tsinghua's THUNLP lab, together with ModelBest, OpenBMB and other teams, released PilotDeck 2.0, an open-source agent operating system built around WorkSpace units that isolate each project's file system, memory store and skill set, according to QbitAI. The system makes memory "white-box" — users can view, edit, delete and pin entries — and adds a Dream mode that consolidates scattered memories while idle plus an Always-on mode that keeps long-running tasks going after the chat window is closed; it natively supports MCP across web, CLI and IM entry points such as WeCom and Feishu. The team says PilotDeck scored 79.1 on Workbuddy Bench with Qwen3.6-35B-A3B versus 77.3 for Claude Code, and that on seven hard long-horizon tasks a "Sonnet 4.6 planner plus MiniMax-M2.7 worker" routing setup scored 70.6 at $3.15, against 69.1 at $18.36 for standalone Sonnet 4.6. PilotDeck is released under AGPL-3.0 for macOS, Linux and Windows, with a Docker deployment option.

In-depth insight

The team's own comparisons indicate that routing complex planning to a strong model and execution to a cheaper one can cut cost to roughly one-sixth while slightly exceeding a single top-tier model on its test tasks — a design the project ships inside an open-source, MCP-native agent operating system.

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#PilotDeck#Tsinghua THUNLP#OpenBMB#ModelBest#Qwen3.6-35B-A3B#Claude Code#Claude Sonnet 4.6#Claude Opus 4.5#MiniMax-M2.7#Model Context Protocol (MCP)#Ruflo

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