🎮 加入Discord →，实时参与框架设计、评估问题和陷阱狩猎 ·👉加入社区→，作为贡献者、维护者或早期采用者（简短表单）。

为自回归推理中过早收敛而采取的架构修复。

线性思维链锚定在它最先说的东西上。思维树式则扩大搜索范围，但仍只走单一共享上下文，因此锚定跨分支持续存在。多动症将此视为架构问题，而非提示问题——它在故意扭曲的认知框架下生成N个孤立的推理过程，发散时零共享上下文，然后运行独立批评流程以评分、聚类、修剪陷阱并加深幸存者。

在**设计决策、模糊调试、命名、API表面设计、策略以及任何形状提示*“给我几种方法…”***上都能找到它。

📚 官方文档： adhd.mintlify.site ·📄预印本： 多动症：编码代理的平行分歧意念 ·👤作者： 乌迪特·阿库里 — @akhouriudit ·LinkedIn

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并排：基线与多动症

一个评估问题，同一模型，两种策略。完整转录记录见bench/results.json。

ADHD — a skill for agents

🎮 Join the Discord → for frame design, eval problems, and trap-hunting in real time · 👉 Join the community → as a contributor, maintainer, or early adopter (one short form).

An architectural fix for premature convergence in autoregressive reasoning.

Linear Chain-of-Thought anchors on whatever it says first. Tree-of-Thought widens the search but still walks a single shared context, so the anchoring persists across branches. ADHD treats this as an architectural problem, not a prompting one — it spawns N isolated reasoning processes under deliberately distorted cognitive frames, with zero shared context during divergence, then runs a separate critic pass to score, cluster, prune traps, and deepen the survivors.

Reach for it on design decisions, fuzzy debugging, naming, API surface design, strategy, and any prompt of the shape “give me a few ways to…”.

📚 Official docs: adhd.mintlify.site · 📄 Preprint: ADHD: Parallel Divergent Ideation for Coding Agents · 👤 Author: Udit Akhouri — @akhouriudit · LinkedIn

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Side-by-side: baseline vs ADHD

One eval problem, same model, two strategies. Full transcripts in bench/results.json.

Problem. “We have a CLI that calls an LLM and it sometimes hangs for 90 seconds. Design the right retry/timeout/UX strategy.”