* fix(web): wire permission approval UI for Kandev MCP tools
KandevToolMessage adapter ignored the permissionMessage prop, so MCP tools
that block on a permission request rendered the result row but no Approve/
Deny buttons — users could not unblock the agent. Extract the shared
permission handlers into use-permission-handlers.ts and reuse them from
both ToolCallMessage and KandevToolMessage. KandevRow now also shows an
amber pending clock icon and hides the result-count summary while waiting
for approval so the row reads correctly before the result arrives.
Adds a mock-agent scenarioKandevMCPPermission emitting
mcp__kandev__list_workspaces_kandev plus a Playwright e2e and unit tests
covering the pending UI and the absence of "0 workspaces" while pending.
* fix(web): collapse tool + permission status into resolved Kandev row
After approve/reject the orchestrator stamps the decision onto the
permission_request message immediately, but the tool_call's own
meta.status stays "pending" until the next tool_call update lands.
KandevToolMessage previously passed meta.status straight to the renderer,
so the row kept the amber pending clock and the hidden-summary state for
the brief window between the two events. resolveKandevStatus now prefers
the permission decision once present, mapping approved -> complete and
rejected -> error.
Drops a redundant Playwright `.first()` after a toHaveCount(1) assertion
on the same locator. Adds unit coverage for the resolved-decision state.
* fix(web): keep Kandev tool status independent of permission decision
The previous fix collapsed an approved permission into tool status
"complete" and a rejected permission into "error". That was wrong on two
counts: an approved tool that's still running rendered as already done
(green check + visible result summary built from an empty payload), and
any later tool_call error was silently masked because the status had
already been forced to "complete".
Replace the status override with a separate display overlay. KandevRow
now reads a `KandevPermissionUIContext` ("pending" | "rejected" |
undefined) and uses it only to drive the waiting-on-user affordances —
amber clock, hidden summary — and a rejection mark that wins over the
tool's own success state. The renderer always receives the real
tool_call status, so a tool that's approved-but-pending still reads as
pending and a tool that errors after approval still renders the red X.
Adds explicit regression tests for the two race-window failure modes
plus the new rejected overlay.
* test(web): tolerate duplicate-render backend race in Kandev MCP e2e
CI shard 1 sometimes renders two approve buttons for the same Kandev MCP
permission because the orchestrator can create a second generic tool_call
message for the same tool_call_id alongside the kandev-routed one. Both
buttons resolve the same pending_id, so clicking the first unblocks the
agent either way.
The bug the test guards against is "no approve button at all" — the
strict toHaveCount(1) assertion was tying the test to that separate
backend issue. Relax to at-least-one and click the first.
* fix: persist Deny clicks as rejected, not approved
Backend RespondToPermission previously derived status purely from cancelled:
cancelled=true -> "rejected", otherwise "approved". Deny clicks sent
cancelled=false with a reject_* option_id, so they were recorded as
"approved". Add an explicit rejected flag from the WS request so the
backend can record "rejected" without taking the cancellation path (which
races against permission_cancelled -> "expired").
Also refactor permission-request-message.tsx to consume the shared
usePermissionResponseHandlers hook (the duplicated inline handler had the
same bug) and introduce a typed models.PermissionStatus enum on the
backend so status strings are not scattered literals.
* test(web): scope Kandev MCP permission e2e to the Kandev row
Previously the test clicked the first matching permission-approve button,
which could be a duplicate generic ToolCallMessage fallback rendered for
the same pending_id by a backend race -- a green test no longer proved the
custom Kandev approval UI rendered.
Add a `data-testid="kandev-tool-permission"` wrapper around the Kandev
action row and a `kandevPermissionApproveButtons` page-object locator that
scopes through it, then assert `toHaveCount(1)` so the test only passes
when the Kandev custom row actually mounts.
* chore(orchestrator): log rejected flag in RespondToPermission
Debug log was missing the new rejected param, making it impossible to
distinguish explicit Deny from dialog cancellation when triaging
permission-flow issues.
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
