by rasimme · Codex Skill · ★ 90
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FlowBoard Project workspaces for AI agents. Built for OpenClaw. Quick Start • Features • Idea Canvas • Remote Access • Changelog Your agent loses context every session. What was I building? What decisions did I make? What's the next task? All gone. FlowBoard fixes that. 📂 Project context on demand — Activate a project and your agent gets goals, decisions, tasks, and specs. Lazy-loaded to save tokens. 📋 Kanban you both use — Your agent creates tasks, writes specs, moves cards, breaks work into subtasks. You see progress live. 💡 Idea Canvas — Brainstorm together visually. One click turns connected ideas into tasks with specs and subtasks.
| Stars | 90 |
| Forks | 11 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.9557947722186/100 |
| Last Updated | 2026-06-25 |
| Created | 2026-02-14 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
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FlowBoard is Project context for AI coding agents — lazy-loaded per project, with an agent-native Kanban, idea canvas, and spec-driven task creation. For OpenClaw and external agents.. It is categorized as a Codex Skill with 90 GitHub stars.
FlowBoard is primarily written in JavaScript. It covers topics such as ai-agents, ai-coding-agents, claude-code.
You can find installation instructions and usage details in the FlowBoard GitHub repository at github.com/rasimme/FlowBoard. The project has 90 stars and 11 forks, indicating an active community.
FlowBoard is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to FlowBoard on Agent Skills Hub include claude-command-center, agent-kanban, lobu. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.