* feat(web): show download progress for voice mode Whisper Web model First-time use of voice mode with the Whisper Web engine downloads ~40–240 MB of model files before the first transcription. The existing modelLoad progress was only surfaced via the mic-button tooltip, so the download felt silent — users couldn't tell whether it was progressing, stuck, or how much was left. Adds a compact inline indicator next to the mic button that renders a percent label and a Progress bar while the model is downloading, and a short error label when load fails. The indicator stays hidden for the Web Speech and server-Whisper engines (which don't download models) and clears once the model is ready. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(web): tidy VoiceModelLoadIndicator class names and a11y - drop unused cn() import (single-string className doesn't need it) - drop redundant max-w-[8rem] (w-32 already equals 8rem in tailwind) - include modelLabel in the error state's aria-label so screen readers identify which model failed Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(web): a11y improvements for VoiceModelLoadIndicator - Replace two separate loading/error divs with a single stable role="status" wrapper so AT announces the loading→error transition (newly-inserted live regions are silently ignored by most screen readers). - Move numeric progress to role="progressbar" + aria-valuenow/min/max on the inner div; removes per-tick live-region announcements. - Drop redundant aria-live="polite" (role="status" implies it per ARIA spec). - Align error visible text with aria-label: both now use modelLabel ("Whisper Base failed to load") instead of the generic string. - Standardize tooltip wording to match indicator: "Downloading {model}…" instead of "Loading model…". - Update test: error branch expects model-specific label. * refactor(web): fix nested progressbar and clamp tooltip percent - Remove role="progressbar" + aria-value* from the wrapper div; <Progress> (Radix) already renders its own progressbar — the nested node confused AT. Pass aria-label directly to <Progress> for the accessible name. - Drop outer aria-label on the loading state (Radix progressbar carries it). - Clamp tooltip percent in voice-input-button.tsx to 0–100 and handle NaN (mirrors clampPercent in the indicator, keeps UI consistent on edge values from transformers.js). - Update test: assert aria-label via getByRole("progressbar").getAttribute(). * fix(web): guard tooltip percent against NaN; assert error aria-label in test - Tooltip loading percent: add Number.isFinite guard so NaN from transformers.js progress produces "0%" instead of "NaN%". - Test: assert aria-label on error state root matches modelLabel. * fix(web): add w-32 to error variant to prevent layout shift on state change Loading branch uses w-32 to hold a stable 128px slot in the toolbar. Error branch lacked it, so the mic button shifted on loading→error transition. --------- Co-authored-by: Kandev Agent <agent@kandev.dev> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Kandev
Manage and run tasks in parallel. Orchestrate agents. Review changes. Ship value.
Workflows | Run as a Service | Roadmap | Contributing | Architecture | Discord
What
Organize work across kanban and pipeline views with opinionated workflows and execute multiple tasks in parallel. Assign agents from any provider, and review their output in an integrated workspace - file editor, file tree, terminal, browser preview, and git changes in one place. Terminal agent TUIs are great for running agents, but reviewing and iterating on changes there doesn't scale.
Run it locally or self-host it on your own infrastructure and access it from anywhere via Tailscale or any VPN.
Open source, multi-provider, no telemetry, not tied to any cloud.
Vision
Humans stay in control. Define tasks, build agentic workflows with gates, review every change, decide what ships.
- Review-first - Humans support production systems. We need to understand (yet) and trust the code that gets deployed.
- Your workflow - Every team is different, and not every developer uses AI the same way. Define workflows once, share them across the team, and give everyone a consistent process for working with agents - regardless of experience level.
- Remote agents - Running multiple agents on a large codebase can quickly saturate a local machine. The goal is a single control plane: offload execution to servers, orchestrate from anywhere, including your phone.
Features
- Multi-agent support - Claude Code, Codex, GitHub Copilot, Gemini CLI, Amp, Auggie, OpenCode, Cursor, Qwen, Factory Droid, iFlow, Kilocode, Pi, Kimi, AWS Kiro, Qoder, Trae
- Parallel task execution – start and manage multiple tasks from different sources simultaneously, boosting productivity with AI agents
- Integrated workspace - Built-in terminal, code editor with LSP, git changes panel, embedded vscode and chat in one IDE-like view
- Kanban task management - Drag-and-drop boards, columns, and workflow automation
- Agentic workflows - Multi-step pipelines that mix-and-match agents per step - for example, Claude Code Opus to design a plan, GitHub Copilot Sonnet to implement it, and Codex GPT 5.4 to review the changes. See docs/workflows.md
- Sub-tasks - Agents can spawn sub-tasks that resume from the parent task's session. Useful for splitting a task that has grown too big, or producing several PRs from the same starting point.
- CLI passthrough - Drop into raw agent CLI mode for direct terminal interaction with any supported agent, leverage the full power of their TUIs
- Workspace isolation - Git worktrees prevent concurrent agents from conflicting
- Multi-repository tasks - Span a single task across multiple repositories, with one worktree per repo, per-repo branches, per-repo PRs, and per-repo grouping in the Changes panel and review dialog
- Flexible runtimes - Run agents as local processes, in isolated Docker containers or in remote executors like sprites.dev
- Session management - Resume and review agent conversations
- Stats - Track your productivity with stats on the completed tasks, agent turns, etc
Integrations
Connect Kandev to the tools your team already uses — pull issues into the kanban, link tasks to PRs, and surface review activity inline.
Supported ACP Agents
| Agent | Launch |
|---|---|
| Claude Code | npx -y @agentclientprotocol/claude-agent-acp |
| Codex | npx -y @zed-industries/codex-acp |
| GitHub Copilot | npx -y @github/copilot --acp |
| Gemini CLI | npx -y @google/gemini-cli --acp |
| Amp | npx -y amp-acp |
| Auggie | npx -y @augmentcode/auggie --acp |
| OpenCode | opencode acp |
| Cursor | cursor-agent acp (requires Cursor Pro) |
| Qwen | npx -y @qwen-code/qwen-code --acp |
| Factory Droid | npx -y droid exec --output-format acp |
| iFlow (beta) | npx -y @iflow-ai/iflow-cli --experimental-acp |
| Kilocode | npx -y @kilocode/cli acp |
| Pi | npx -y pi-acp |
| Kimi | kimi acp (install Kimi CLI from Moonshot AI) |
| Kiro | kiro-cli-chat acp (install Kiro CLI from AWS) |
| Qoder | qodercli --acp (install Qoder CLI) |
| Trae | traecli acp serve (install Trae IDE CLI) |
All agents communicate via ACP (Agent Client Protocol). Some agents support ACP natively, while others use ACP adapter packages that bridge their native protocols. CLI Passthrough mode is also available for direct terminal interaction with any agent CLI. If your agent isn't supported yet, open an issue or submit a PR with the integration. See Adding a New Agent CLI for a step-by-step guide.
Bring your own TUI agents
There is support for running any agent as TUI inside a terminal. Just add the cli command in the agent profile settings and the task will start the agent inside a PTY terminal instead of using ACP.
Supported Executors
| Executor | Description |
|---|---|
| Local Process | Runs the agent as a local process on the host machine |
| Docker | Runs the agent in an isolated Docker container |
| Sprites | Runs the agent in a remote cloud environment via sprites.dev |
Each executor uses git worktrees for workspace isolation, preventing concurrent agents from conflicting.
Quick Start
Homebrew (macOS, Linux)
brew install kdlbs/kandev/kandev
kandev
NPX
npx kandev@latest
Requires npm 7+. Installs the CLI plus a platform-matched runtime bundle in one step.
NPM (global)
npm install -g kandev@latest
kandev
Updates
brew upgrade kandevnpx kandev@latest(always uses the latest published version)npm install -g kandev@latest
The worktrees and sqlite db live in ~/.kandev by default. Works on macOS, Linux, and Windows (WSL or native).
From Source
# Clone the repository
git clone git@github.com:kdlbs/kandev.git
cd kandev
# Start in production mode
make start
Prerequisites: Go 1.26+, Node.js 18+, pnpm, Docker (optional - needed for container runtimes)
High level architecture
graph LR
UI[Web UI] --> Backend
Backend["Backend (Orchestrator)"]
Backend --> W1 & W2
subgraph W1[Local Process]
Agent1[Agent CLI] --- WT1[Worktree]
end
subgraph W2[Docker Container]
Agent2[Agent CLI] --- WT2[Worktree]
end
We also want to add support for these remote runtimes:
- Remote SSH - run agents on remote servers over SSH, using docker or local processes with workspace isolation
- K8s operator - run agents in a Kubernetes cluster, with auto-scaling and resource management.
Development
Project Structure
apps/
├── backend/ # Go backend (orchestrator, lifecycle, agentctl, WS gateway)
├── web/ # Next.js frontend (SSR, Zustand, real-time subscriptions)
├── cli/ # CLI tool (npx kandev launcher)
└── packages/ # Shared UI components & types
Prerequisites
- Go 1.21+
- Node.js 18+
- pnpm
- Docker (optional)
Running Dev Servers
# Start everything (backend + frontend with auto ports)
make dev
# Or run separately
make dev-backend # Backend on :38429
make dev-web # Frontend on :37429
Testing & Linting
make test # Run all tests (backend + web)
make lint # Run all linters
make typecheck # TypeScript type checking
make fmt # Format all code
Pre-commit Hooks
# Install pre-commit (https://pre-commit.com/#install)
pipx install pre-commit
# Install git hooks
pre-commit install
Comparison to Other Tools
There are a few similar tools in this space, and new ones appearing everyday. Here's what sets this one apart:
- Server-first architecture - Not a desktop app. Runs as a server you can access from any device, including your phone. Start a task away from your computer and check in on it later.
- Remote runtimes - Run agents on remote servers and Docker hosts, not just your local machine.
- Multi-provider - Use Claude Code, Codex, Copilot, Gemini, Amp, Auggie, OpenCode, Cursor, Qwen, Droid, iFlow, Kilocode, Pi, Kimi, Kiro, Qoder, and Trae side by side. Not locked to one vendor.
- CLI passthrough and chat - Interact with agents through structured chat messages or drop into raw CLI mode for full agent TUI capabilities.
- Open source and self-hostable - No vendor lock-in, no telemetry, runs on your infrastructure.
Contributing
Contributions are welcome! Please read CONTRIBUTING.md before opening a PR.
See the issue tracker for open tasks, or join our Discord to chat with maintainers and other contributors.
Acknowledgments
Built with these excellent open-source projects:
Monaco Editor · Tiptap · xterm.js · dockview · CodeMirror · dnd-kit · Mermaid · Recharts · TanStack Table · Zustand · Shadcn/UI · Radix UI · Tailwind CSS
