João Salavisa 616bafa848 fix(backend): allow IDLE office sessions to accept follow-up prompts (#1119)
* fix(backend): allow IDLE office sessions to accept follow-up prompts

The IDLE session state (introduced with the office feature) was missing from
checkSessionPromptable's accept bucket, so any prompt to an IDLE office
session fell into the default branch and returned ErrAgentPromptInProgress
with the misleading message "agent is currently processing a prompt, session
is in IDLE state" — even though IDLE means the agent process is in fact gone
(torn down between turns) and the conversation is parked waiting to resume.

Net effect before this fix: once an office session went IDLE it could not be
re-engaged from either the UI composer or MCP message_task_kandev. The five
IDLE sessions sitting in the local DB exhibit this exactly.

Fix:
- Add TaskSessionStateIdle to the accept bucket in checkSessionPromptable.
  ensureSessionRunning already does the right thing for IDLE: it detects the
  missing in-memory execution, finds the preserved executors_running row,
  and routes through ResumeSession (which uses the stored ACP resume token).
- Introduce ErrSessionNotPromptable for STARTING / CREATED / FAILED /
  CANCELLED rejections. The previous code wrapped those in
  ErrAgentPromptInProgress, which is semantically wrong and breaks any
  caller doing errors.Is(err, ErrAgentPromptInProgress) checks (the MCP
  promptWithAutoResume retry path keys on a different sentinel, so this
  doesn't regress, but the categorisation is now honest).

Tests:
- TestPromptTask_IdleSession_IsPromptable — reproduces the bug end-to-end.
- TestCheckSessionPromptable_StateMatrix — pins down every state's
  classification, including the IDLE→accept and the
  STARTING/CREATED/FAILED/CANCELLED → ErrSessionNotPromptable (NOT
  ErrAgentPromptInProgress) split.
- TestEnsureSessionRunning_IdleSessionTriggersResume — confirms IDLE
  sessions reach ResumeSession (the second half of the recovery path).

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

* fix: preserve requeue for STARTING/CREATED + drop time.Sleep in test

Address PR #1119 review feedback from Greptile, cubic, and Claude:

P1: ErrSessionNotPromptable broke the requeue guard in executeQueuedMessage
and the auto-start retry loop. Pre-PR, STARTING/CREATED bucketed into
ErrAgentPromptInProgress and matched isAgentPromptInProgressError, so
queued messages hitting a booting session were retried; post-PR they would
have been silently dropped (no DLQ — see TODO at event_handlers_agent.go).

Introduce isSessionBusyError covering both sentinels and swap it into the
two requeue call sites. Pinned by TestIsSessionBusyError.

P2: Replace the 50ms time.Sleep in TestEnsureSessionRunning_IdleSessionTriggersResume
with a deterministic state-watching poll (waits for STARTING from
persistResumeState before flipping to WAITING_FOR_INPUT). No CI flake
exposure, no timing assumption.

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

* fix: replace test poll loop with ticker+select per AGENTS.md

Address CodeRabbit + Claude review on PR #1119: the 5ms time.Sleep poll
loop in the launchAgentFunc watcher goroutine flunked the backend
convention of "channel-based synchronization over sleep-based waits."
testing/synctest doesn't help here (SQLite repo runs real I/O goroutines
that synctest can't observe as idle), so use a ticker + select instead,
keeping the 5s timeout as the safety bound.

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>
2026-05-28 21:40:15 +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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