TL;DR
A companion guide to the Nimbalyst video: an open-source visual workspace that runs Codex and Claude Code from your existing subscriptions, with a Kanban board, a planning workflow, and AI commits. Here is what it does and where it fits.
| Resource | Description |
|---|---|
| Watch: Nimbalyst in 10 Minutes | The full walkthrough on the DevDigest channel |
| Nimbalyst | Official product page |
| Nimbalyst on GitHub | Open-source repository |
Nimbalyst is a visual workspace that unifies Codex and Claude Code alongside built-in project management. It authenticates both providers through their existing CLIs, so you use the subscriptions you already pay for rather than wiring up separate API keys. The walkthrough creates a new workspace, sets agent autonomy permissions, monitors usage across both providers, and runs the built-in planning flow, where the agent drafts a goal, success criteria, and tech stack, asks clarifying questions, and writes a markdown plan before touching code.
From there the demo scaffolds a Next.js SaaS landing page, reviews the created and edited files, and drives a Kanban board where sessions and subtasks move through stages and can run in parallel. This post is a companion to the video. Watch the walkthrough for the live demo, then use the links here to place the tool in context.
Give the coding agent a project board instead of a chat log. Nimbalyst's bet is that the missing layer for CLI agents is not more model power but a workspace that holds the plan, the tasks, and the run history in one place, so work does not live only in a scrollback buffer.
Three things make this worth a look:
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Beyond the core loop, the video demonstrates committing changes with "commit with AI," adding and prioritizing tasks, launching sessions directly from a task, and built-in Mermaid and Excalidraw visuals. It also covers marketplace extensions, Claude and Claude Code plugins, MCP servers, and optional local model support through LM Studio, so the workspace can reach both hosted and local models.
Nimbalyst is one entry in a growing category of local coding-agent workspaces that wrap the CLI agents you already use with project structure. The useful lens is not "which tool is best" but which layer each tool owns: the model owns generation, the CLI owns execution, and a workspace like this owns the plan, the board, and the history. If you are evaluating where a tool like this earns its place, the OpenAI Codex guide and the Claude Code guide cover the underlying agents it orchestrates.
Nimbalyst is open source, so the fastest path is to check the GitHub repository for install steps and point it at a small throwaway project first. Authenticate the CLIs you already use, set conservative autonomy permissions, and run the planning flow on a low-risk task so you can see exactly what the agent proposes before it writes anything. Watch the full walkthrough above, then scaffold your first workspace and let the board hold the plan.
Nimbalyst is an open-source visual workspace that unifies OpenAI Codex and Claude Code with built-in project management. It runs both agents through their existing CLI subscriptions and adds a Kanban board, a planning workflow, AI-assisted commits, and diagram support so agent work has structure beyond a chat window.
No. Nimbalyst authenticates Codex and Claude Code through their existing CLIs, so it uses the subscriptions you already have rather than requiring separate API billing. It also supports local models through LM Studio.
The agents are the same. Nimbalyst adds the workspace layer around them: a planning step that writes a markdown plan before coding, a Kanban board where sessions and subtasks run and can go in parallel, usage monitoring across both providers, and the ability to switch models mid-task. It owns the workflow rather than the generation.
The project is open source and available on GitHub. Check the repository and the product page for current licensing and any hosted options.
Yes. The Kanban board lets sessions and subtasks move through stages and run in parallel, which is the feature that turns it from a single-agent chat wrapper into a coordination surface for multiple runs.
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