João Salavisa 0822d41372 fix(backend): drain orphaned queued messages on agent boot ready (#1096)
* fix(backend): drain orphaned queued messages on agent boot ready

When autoStartStepPrompt hits a transient PromptTask error (e.g. "agent
stream disconnected" mid-prompt), it records the auto-start user message
and then queues the same prompt for retry. The drain only fires from
handleAgentReady (turn-end) — but the failed prompt never reached the
agent, so no agent.ready ever arrives for it. After the user resumes the
session, handleAgentBootReady only flipped state and returned, leaving
the workflow auto-start prompt stuck on the queue forever (the "1 queued"
that wouldn't go away after resume).

handleAgentBootReady now drains via drainQueuedMessageAfterTransition
after the WAITING_FOR_INPUT flip — also on the early-return path where
state was already WAITING (boot signal raced persistResumeState).
Terminal sessions short-circuit before the drain so cancelled/completed
sessions don't revive their queued prompts.

Tests: TestAutoStartTransientError_BootReadyDrainsOrphanedQueue
reproduces the production scenario end-to-end (transient PromptAgent
failure → record + queue → boot_ready → drained). Plus
TestHandleAgentBootReady_DrainsOrphanedQueuedMessage covers both
STARTING→WAITING and the persistResumeState-race path, and
TestHandleAgentBootReady_DoesNotDrainForTerminalSession guards the
terminal-session short-circuit.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* test(backend): wait for drain goroutine and verify prompt dispatch in repro

Greptile flagged that the queue-empty assertion in
TestAutoStartTransientError_BootReadyDrainsOrphanedQueue raced the
drain's executeQueuedMessage goroutine: the goroutine would re-enter
the same isTransientPromptError path and re-queue the message
immediately, but the assertion would usually win on timing.

Clear agentMgr.promptErr before Phase 2 (simulating the agent
recovering), then poll capturedPrompts until the drained prompt
actually reaches PromptAgent. This turns a timing-fragile assertion
into a deterministic end-to-end check: drain → executeQueuedMessage
→ PromptTask → PromptAgent → queue empty.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* test(backend): wire executor in boot-ready drain test to fix nil-deref under -race

Claude and cubic flagged that TestHandleAgentBootReady_DrainsOrphanedQueuedMessage
constructed Service without an executor field. The drainQueuedMessageAfterTransition
goroutine spawned by handleAgentBootReady would nil-deref s.executor via
PromptTask -> ensureSessionRunning -> s.executor.GetExecutionBySession.
Passed today by luck of scheduling but would panic under -race.

Wire a real executor (built from the same mockAgentManager and repo as the
other tests) and seed an executors_running row so the drained PromptTask
lands on a working code path instead of crashing. Verified passes with
`go test -race -count=3`.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* test(backend): replace time.Sleep polling with promptDone channel sync in repro

Claude flagged that the polling loops in
TestAutoStartTransientError_BootReadyDrainsOrphanedQueue used time.Sleep
where mockAgentManager.promptDone (closes on first PromptAgent call) gives
a deterministic sync point per AGENTS.md.

- Phase 1: wait on firstPromptCalled, then a 500ms / 1ms tight poll covers
  the synchronous PromptAgent-returns → queue-row-commits gap.
- Phase 2: swap in a fresh secondPromptCalled channel (the mock's
  `first := len(capturedPrompts) == 0` guard requires resetting captured*
  slices so the close re-fires for the drain's second call), then wait on
  that signal before the queue-empty assertion.

Verified with `go test -race -count=5` — all pass, no goroutine leaks.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: Kandev Agent <agent@kandev.dev>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-27 15:20:17 +01:00
2026-01-16 01:59:19 +00:00
2026-05-25 10:04:40 +01:00
2026-05-25 21:27:20 +00:00
2026-02-17 09:19:42 +00:00
2026-05-01 21:02:41 +01:00

Kandev

Manage and run tasks in parallel. Orchestrate agents. Review changes. Ship value.

Workflows | Run as a Service | Roadmap | Contributing | Architecture | Discord

Kandev Demo

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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

GitHub Jira Linear

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 kandev
  • npx 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

License

AGPL-3.0

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