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PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw LinkedIn™ 职位抓取工具 - Chrome 应用商店
GitHub - mjn298/drawbar
seedlessmike · 2026-06-25 · via Hacker News: Show HN

A lean, Linear-native design → plan → work → learn workflow for Claude Code, with a per-project compounding knowledge base.

Enjoy a mix of AI generated readme, and my interjections in the text below.

Why is it called drawbar

I just got a clonewheel and am digging it, a lot. Other than that, no reason. I'm following the grand tradition of software projects with inscrutable names.

Who it's for

drawbar is for people who love the Beads way of working — atomic, traceable issues and knowledge that compounds across sessions instead of evaporating — but who:

  • live in Linear. Your issues stay in Linear, visible to the whole team: a spec is a parent issue's description, stories are ordered sub-issues, status flows Todo → In Progress → Done. Issues aren't stored locally. I know this makes things slower and probably wastes tokens, but this works better for my and my team.
  • want a human in the loop, not full autonomy. drawbar is a set of deliberate, reviewable steps — you sharpen scope, pick the approach, approve the plan, and review the work — rather than a fire-and-forget agent. If beads is meth, this is a glass of iced tea.

This is really just an old-school issue tracking workflow with some glue. It is not novel but it has been working well for me.

The knowledge base is the heart of it: every lesson, decision, and "MUST-CHECK" you capture is recalled on the next design/plan/work, so the system gets sharper the more you use it.

If you want maximum agent autonomy, drawbar will feel too hands-on. If you want an agent that drafts and proposes while you stay the decision-maker — and a memory that actually accumulates — that's the point.

Requirements

drawbar needs two things set up before it works:

  • Bun — runs the drawbar-kb knowledge CLI (and the tests). Install: curl -fsSL https://bun.sh/install | bash.
  • The Linear MCP, connected in Claude Code — drawbar tracks all work in Linear through the MCP (mcp__…Linear… tools must be available in your session). Without it, the design/plan/work commands can still run locally but won't write to Linear.

Plus Claude Code itself (the plugin host).

Install

  1. Add the marketplace and install the plugin:

    claude plugin marketplace add mjn298/drawbar
    claude plugin install drawbar@drawbar

    Then run /reload-plugins (or restart) so the /drawbar-* commands load.

  2. Run /drawbar-setup once in a project. It links the drawbar-kb CLI onto your PATH (via bun link from the installed plugin) and initializes <project>/.drawbar/memory/.

    If drawbar-kb still isn't found afterward, add Bun's global bin to PATH:

    export PATH="$(bun pm bin -g):$PATH"

Hacking on drawbar itself? Skip the marketplace and load the repo directly — see Development.

Use

/drawbar-setup [legacy knowledge.jsonl]   # once per machine + per project
/drawbar-design <feature | issue-id>       # spec → Linear parent issue
/drawbar-plan <issue-id>                    # ordered story sub-issues
/drawbar-work <issue-id>                    # implement next story, TDD
/drawbar-learn [issue-id]                   # curate lessons into the KB

issue-id is a Linear issue identifier (e.g. ABC-123) — your team's own prefix.

The [legacy knowledge.jsonl] argument to /drawbar-setup is only for migrating an existing lavra knowledge base into drawbar. If you weren't using lavra before — most people — skip it and start with a fresh, empty knowledge base.

Knowledge lives in <project>/.drawbar/memory/ (the JSONL is committed; the SQLite index is gitignored). Query it directly anytime:

drawbar-kb recall "dynamodb tenancy" --dir "$PWD/.drawbar/memory" --json
drawbar-kb stats --dir "$PWD/.drawbar/memory"

Development

Working on drawbar itself? The kb tool has tests:

Loading your edits — two modes:

  • Iterating fast → run the live source directly. Launch Claude Code with --plugin-dir so it loads your working copy and bypasses the plugin cache entirely:

    claude --plugin-dir /path/to/drawbar

    Edits to commands/agents/skills take effect on /reload-plugins — no version bump, no reinstall. It shadows any installed copy for that session only.

  • Releasing a change through the marketplace → bump the version. The plugin cache is keyed by plugin.json version, so editing files in place at the same version silently won't propagate — /reload-plugins keeps serving the stale cached copy. To ship a real change:

    # 1. bump "version" in .claude-plugin/plugin.json (e.g. 0.1.1 → 0.1.2)
    claude plugin marketplace update <marketplace>   # re-read the source
    claude plugin update drawbar@<marketplace>        # fetch the new version
    # 2. /reload-plugins (or restart) in your session

    Forgetting the version bump is the #1 "my change didn't show up" gotcha.

Credits

drawbar stands on the shoulders of three projects:

  • Beads — the model that started it: atomic, dependency-aware issues and knowledge captured as you work so it compounds across sessions.
  • linear-beads by @nikvdp — beads-style issue tracking with Linear as the backend. The inspiration for keeping issues in Linear (human-visible) instead of a local database.
  • lavra by @roberto-mello — the design → plan → work → review → learn skill pipeline and knowledge-compounding approach that drawbar's workflow is modeled on.

drawbar is a leaner take that combines lavra's workflow with linear-beads' Linear-first tracking, around its own knowledge base — built for human-in-the-loop work.