João Salavisa 82e8c8905b feat: replace agent_type with agent_profile_id (#14)
* feat: replace agent_type with agent_profile_id

- Replace agent_type field with agent_profile_id across backend and frontend
- Add ProfileResolver interface and StoreProfileResolver implementation
- Update task creation/update to use agent_profile_id
- Change default agent runtime from docker to standalone
- Fix workspace state types to include all required fields
- Fix websocket handlers type mismatches for environments, executors, workspaces
- Update integration tests to use agent_profile_id

* feat: pass model as CLI argument to agents

- Add ModelFlag field to AgentTypeConfig for specifying the CLI flag
- Set ModelFlag to '--model' for all agents (auggie, claude, codex, gemini, opencode, copilot)
- Update launchStandalone to append model flag to agent command
- Update launchDocker/buildContainerConfig to append model flag to container command
- Model is passed when both agent supports ModelFlag and profile has Model configured

* fix: make WebSocket message handling async to prevent blocking

When a long-running handler like orchestrator.prompt was executing,
it blocked the ReadPump loop, preventing other requests (like
workspace.tree.get) from being processed until the handler completed.

Now each message is handled in its own goroutine, allowing concurrent
message handling so file tree requests work while the agent is working.

* feat: show task description as first message in chat

- Add 'Task' label with distinct styling (lighter background, border)
- Pass taskDescription from page to TaskChatPanel component
- Differentiate from regular user messages visually
2026-01-14 12:29:58 +00:00
2026-01-13 00:45:10 +00:00
2026-01-13 00:40:23 +00:00

Kandev - Kanban Board with AI Agent Orchestration

A Kanban board system that integrates AI agent orchestration capabilities with real-time Agent Communication Protocol (ACP) streaming, allowing tasks to be automatically executed by AI agents running in isolated Docker containers.

Overview

Kandev combines traditional Kanban task management with automated AI agent execution and real-time feedback streaming. Users create tasks on a Kanban board, and when configured with an AI agent type, the system automatically launches Docker containers to execute those tasks against specified code repositories. Real-time progress, logs, and results are streamed from agents to the frontend via WebSocket connections.

Key Features

  • Kanban Board Management: Create and manage tasks across multiple boards with columns
  • AI Agent Orchestration: Launch AI agents (Augment Agent) to execute tasks
  • Real-Time ACP Streaming: Live progress updates, logs, and results streamed from agents
  • Session Resumption: Agents can resume previous conversations using session IDs
  • Docker Isolation: Each agent runs in an isolated Docker container with resource limits
  • Repository Integration: Agents can work on code repositories with host credentials
  • Host Credential Mounting: Secure read-only mounting of SSH keys and Git credentials
  • SQLite Persistence: Lightweight file-based database for task and board storage
  • Local Deployment: Designed for client machines with minimal dependencies

Architecture

The system runs as a unified Go binary that includes:

  • Task Service: Manages tasks, boards, and columns with SQLite persistence
  • Agent Manager: Manages Docker container lifecycle and ACP message streaming
  • Orchestrator: Coordinates agent launches and monitors execution
  • WebSocket API: Real-time bidirectional communication for all operations (Port 8080)

Agent Communication Protocol (ACP)

ACP is a JSON-based streaming protocol that enables real-time communication between AI agents and the backend:

Agent Container (stdout) → Agent Manager → Event Bus → API

Message Types: progress, log, result, error, status, heartbeat

See docs/ARCHITECTURE.md for detailed architecture documentation.

Supported Agent Types

  1. Augment Agent (augment-agent)
    • Uses Auggie CLI for code analysis, generation, debugging, refactoring
    • Native ACP support via stdout JSON streaming
    • Session resumption for multi-turn conversations

Technology Stack

  • Backend: Go 1.21+
  • Database: SQLite (with WAL mode)
  • Container Runtime: Docker
  • Web Framework: Gin
  • Logging: Zap (structured logging)
  • Deployment: Single binary for client machines

Quick Start

Prerequisites

  • Go 1.21 or higher
  • Docker
  • Augment CLI credentials (~/.augment/session.json)

Build and Run

cd apps/backend

# Build the binary
make build

# Run the server (creates kandev.db in current directory)
./bin/kandev

# Or specify a custom database path
KANDEV_DB_PATH=/path/to/kandev.db ./bin/kandev

WebSocket API Usage

Connection: ws://localhost:8080/ws

Message Envelope

{
  "id": "correlation-uuid",
  "type": "request|response|notification|error",
  "action": "action.name",
  "payload": {},
  "timestamp": "2026-01-10T10:30:00Z"
}

Key Message Actions

  • board.create - Create board
  • board.list - List boards
  • column.create - Create column
  • task.create - Create task
  • agent.launch - Launch agent
  • agent.status - Get agent status
  • orchestrator.start - Start task execution

Example Usage (JavaScript)

const ws = new WebSocket('ws://localhost:8080/ws');

// Create a board
ws.send(JSON.stringify({
  id: crypto.randomUUID(),
  type: 'request',
  action: 'board.create',
  payload: { name: 'My Project', description: 'Project tasks' }
}));

// Create a task
ws.send(JSON.stringify({
  id: crypto.randomUUID(),
  type: 'request',
  action: 'task.create',
  payload: {
    board_id: '{board_id}',
    column_id: '{column_id}',
    title: 'Fix login bug',
    description: 'Users cannot login'
  }
}));

// Launch an agent
ws.send(JSON.stringify({
  id: crypto.randomUUID(),
  type: 'request',
  action: 'agent.launch',
  payload: {
    task_id: '{task_id}',
    agent_type: 'augment-agent',
    workspace_path: '/path/to/project',
    env: {
      AUGMENT_SESSION_AUTH: '...',
      TASK_DESCRIPTION: 'What is 2+2?'
    }
  }
}));

// Handle responses and notifications
ws.onmessage = (event) => {
  const msg = JSON.parse(event.data);
  if (msg.type === 'response') {
    console.log('Response:', msg.payload);
  } else if (msg.type === 'notification') {
    // Real-time updates: acp.progress, acp.log, task.updated, etc.
    console.log('Notification:', msg.action, msg.payload);
  }
};

See apps/backend/NEXT_STEPS.md for detailed API reference and next steps.

Project Structure

kandev/
├── apps/
│   ├── backend/              # Go backend services
│   │   ├── cmd/kandev/       # Unified binary entry point
│   │   ├── internal/
│   │   │   ├── agent/        # Agent manager (docker, lifecycle, registry, api)
│   │   │   ├── task/         # Task service (models, repository, service, api)
│   │   │   ├── orchestrator/ # Orchestrator service
│   │   │   ├── events/       # In-memory event bus
│   │   │   └── common/       # Shared utilities (logger, config)
│   │   ├── pkg/acp/          # ACP protocol types
│   │   ├── dockerfiles/      # Agent container Dockerfiles
│   │   └── Makefile
│   └── web/                  # Frontend application
├── docs/                     # Architecture and planning docs
├── migrations/               # Database migrations (future)
├── deployments/              # Deployment configs
└── scripts/                  # Utility scripts (including e2e-test.sh)

Configuration

Environment Variable Default Description
KANDEV_DB_PATH ./kandev.db SQLite database file path
PORT 8080 HTTP server port

Development

cd apps/backend

# Build
make build

# Run tests
make test

# Format code
go fmt ./...

# Lint
go vet ./...

Pre-commit Hooks

We use pre-commit to run the backend tests, web tests, and web lint before commits.

Install

# Install pre-commit (https://pre-commit.com/#install)
pipx install pre-commit

# Install git hooks
pre-commit install

Run Manually

# Run all hooks once
pre-commit run --all-files

Hooks Config

The hooks are defined in .pre-commit-config.yaml and run these Makefile targets:

  • make test-backend
  • make test-web
  • make lint-web

Project Status

✅ Core Features Working

  • SQLite persistence for boards, columns, and tasks
  • Agent lifecycle management with Docker
  • ACP message streaming from containers
  • Session resumption for multi-turn agent conversations
  • WebSocket-first API for all operations
  • Real-time bidirectional communication

🚧 In Progress

  • Authentication and authorization
  • Frontend UI

See apps/backend/NEXT_STEPS.md for the complete roadmap.

License

[To be determined]

Acknowledgments

Built with Go and inspired by modern DevOps practices and AI-assisted development workflows.

S
Description
Upstream mirror of https://github.com/kdlbs/kandev (main). Internal development and testing.
Readme 371 MiB
Languages
Go 58.3%
TypeScript 37.6%
HTML 1.9%
JavaScript 0.8%
Python 0.7%
Other 0.5%