Hold steps until a human approves
Policies can require approval before the AI starts developing, before the pull request is opened, or before the merge into staging. Nothing is held until a policy is turned on.
Volath is a local AI coding agent dashboard that takes a ticket from idea to merged code. You write a ticket. An AI agent analyzes it, writes the code in your git repository, opens a pull request, fixes CI failures and review comments, deploys to staging and runs a live browser test. The steps are a workflow you can change, and plugins add your own pages, automations and integrations.
You write a ticket. An AI agent analyzes it. The AI writes the code in your git repository. It opens a pull request. It fixes CI failures and review comments. It deploys to staging. It runs a live browser test.
One ticket goes all the way from idea to a merged pull request.
Analysis, implementation, review rounds, CI fixing and answering review comments are handled by the AI.
Every step is visible on a Kanban board, you decide where the pipeline holds for approval, and the steps are a workflow you can change.
Your code, tickets and settings live in a local SQLite database, or in your own MySQL or MariaDB.
How it works
You write the ticket. The AI does the development work, and you follow every step on the board. This is the default workflow, and you can change it.
Create a ticket from the Board. It starts in To Do and moves through the steps of its project's workflow, which you can change.
An AI agent analyzes the ticket. After analysis it is either Not Ready or Ready.
The AI writes the code in your git repository and opens a pull request.
CI failures and review comments are fixed and answered automatically.
Volath deploys to staging, and Playwright drives a browser against the environment and stores screenshots. The ticket then waits for the merge and ends in Done. This is the default workflow, and you can change its steps.
Features
An AI Kanban board for developers that shows every ticket through the steps of its workflow, from To Do to Done, with a detail drawer per ticket.
AI ticket to pull request automation: analysis, implementation, review rounds, CI fixing and answers to review comments, with the provider and model you choose.
Your own AI agents per project, each a role with its own instructions and optionally its own model.
Lessons the AI learns per project from merged tickets, rejected pull requests and review comments.
Describe a project, add documents, and the AI creates the project with its tickets and subtasks.
After a staging deploy, Playwright drives a browser against the environment and stores screenshots.
Edit the steps a ticket moves through. A workflow is a graph of steps, arrows and actions, shared by every project or owned by one.
Extend Volath with your own pages, board widgets, automations or integrations, without changing Volath. An administrator installs a plugin from a zip.
AI providers
Use a CLI or an API key. The provider and model are configurable globally, per project and per ticket.
claudeCLIcodexCLIcopilotCLIopencodeCLIYou stay in control
By default the pipeline runs on by itself. Turn on policies to hold steps back until you approve them.
Policies can require approval before the AI starts developing, before the pull request is opened, or before the merge into staging. Nothing is held until a policy is turned on.
Policies can auto-run only tickets with a label such as safe, and only while the AI spend on the ticket stays under a limit.
Volath can push branches and open pull requests with your GitHub token. Review the pull requests it opens.
Runs locally
It runs on your own machine. Your code, tickets and settings live in a local SQLite database, or in your own MySQL or MariaDB.
Pick the file for your system: the installer for Windows, the disk image for macOS, the AppImage or the package for Linux.
A short setup wizard asks for your license key, creates the administrator and lets you choose your AI.
Add a project, write a ticket and follow it from To Do to Done on the Board.
Pricing
Pick the plan that fits your team.
For one developer with one project.
Billed monthly
1 seat · 1 project
For small teams, with squads, analytics and integrations.
Billed monthly
10 seats · 10 projects
For larger teams: the project planner and design to code.
Billed monthly
30 seats · Unlimited projects
Custom needs, volume or support. Talk to our team.
Pricing tailored to your team
Unlimited seats · Unlimited projects
14 days to try Volath with the Team features, on one seat and one project.
1 seat · 1 project
FAQ
Volath is a local dashboard that takes a ticket from idea to merged code with AI doing the development work. You write a ticket, an AI agent analyzes it, writes the code in your git repository, opens a pull request, fixes CI failures and review comments, deploys to staging and runs a live browser test.
Yes. Volath is an app you install and run on your own machine. Your code, tickets and settings live in a local SQLite database on your computer by default, or in your own MySQL or MariaDB.
Claude Code, Codex, GitHub Copilot and OpenCode as CLIs, and the Anthropic and OpenAI APIs. You need at least one: a CLI (claude, codex, copilot, opencode) or an API key.
You follow every ticket from a Kanban board. Under Project settings › Policies you can hold steps until a human approves: before the AI starts developing, before the pull request is opened, or before the merge into staging. By default the pipeline runs on by itself, and nothing is held until you turn a policy on.
A computer with Windows, macOS or Linux, Git in PATH, at least one AI provider, and a token for your Git host. Nothing else has to be installed: the installer brings what Volath itself needs. Chromium for live testing is optional, and Volath downloads it the first time you run a live test.
Volath is a local AI coding agent dashboard that takes a ticket from idea to merged code. You write a ticket. An AI agent analyzes it, writes the code in your git repository, opens a pull request, fixes CI failures and review comments, deploys to staging and runs a live browser test. The steps are a workflow you can change, and plugins add your own pages, automations and integrations.