UditAkhourii

    UditAkhourii/adhd

    ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, deepens the survivors. The no-brainer skill for creative and interdisciplinary work.

    ai
    ai-agents
    llm
    backend
    adhd
    agents
    brainstorm
    chain-of-thought
    claude
    TypeScript
    MIT
    4.5K stars
    298 forks
    4.5K GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 159 days ago, with 10 contributors on GitHub.

    Peaked at #28 in the weekly ranking the week of Aug 2, its best in the past year.

    Use Cases & Benefits

    • Implements a parallel divergent ideation skill for coding agents using isolated cognitive frames and a critic pass to score, cluster, prune, and deepen ideas.
    • Prevents premature convergence in reasoning by spawning multiple isolated thought processes, enabling broader, more novel, and trap-aware ideation than linear or tree-of-thought methods.
    • Use for designing complex software strategies like retry/timeout policies with diverse, non-obvious solution exploration and trap detection.
    • Use for enhancing AI agent creativity and interdisciplinary brainstorming by generating and refining multiple distinct cognitive perspectives in parallel.
    • Use for integrating into developer tools or agent frameworks to improve naming, API design, fuzzy debugging, and strategic decision-making workflows.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    🎮 Join the ADHD Discord →

    This is where the real-time thinking happens: frame design, eval problems, trap-hunting, and neurodivergence-inspired research on reasoning architectures. If you've got opinions on premature convergence, cognitive frames, or just want to argue about the next eval problem — come argue with us live.

    👉 Join the ADHD community → as a contributor, maintainer, early adopter, or just a member. One short form. We coordinate frame contributions, eval problems, integrations, and adopter onboarding there.

    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…".

    📄 Preprint: ADHD: Parallel Divergent Ideation for Coding Agents · 👤 Author: Udit Akhouri — @akhouriudit · LinkedIn

    Excerpt from the UditAkhourii/adhd README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 19: +119Aug 20: +80

    +905 stars over 82 days across 9 snapshot days; best day +119 on Aug 19.

    Forks

    298+40

    Open issues

    13+1

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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