Kanbaruu
Built for teams and agents shipping product together
What it does
Most teams spend more time managing tools than doing actual work. Kanbaruu fixes that. Describe your goal, AI creates the tasks. One click, AI analyzes your project and tells you exactly what's off track. Local AI via MCP. GitHub sync via Markdown. Built for small teams who'd rather ship than organize.
Does the same job
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- VKVibe Kanban – Kanban board to manage your AI coding agents2025 · github.com · ▲195
Hey HN! I'm Louis, one of the creators of Vibe Kanban. We started working on this a few weeks ago. Personally, I was feeling pretty useless working synchronously with coding agents. The 2-5 minutes that they take to complete their work often led me to distraction and doomscrolling. But there's plenty of productive work that we (human engineers) could be doing in that time, especially if we run coding agents in the background and parallelise them. Vibe Kanban lets you effortlessly spin up multiple coding agents. While some agents handle tasks in the background, you can focus on planning…
- VCVS Code Agent Kanban: Task Management for the AI-Assisted DeveloperMar 2026 · appsoftware.com · ▲99
Agent Kanban has 4 main features: GitOps & team friendly kanban board integration inside VS Code Structured plan / todo / implement via @kanban commands Leverages your existing agent harness rather than trying to bundle a built in one .md task format provides a permanent (editable) source of truth including considerations, decisions and actions, that is resistant to context rot
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com