Initial commit: Kandev with SQLite persistence and agent integration

Features:
- Unified Go binary running Task Service, Agent Manager, and Orchestrator
- SQLite persistence for boards, columns, and tasks
- Docker-based agent execution with ACP message streaming
- Augment Agent integration with session resumption support
- RESTful API for all operations (port 8080)
- In-memory event bus for service communication

Architecture:
- cmd/kandev: Single entry point for all services
- internal/task: Task, board, and column management
- internal/agent: Docker container lifecycle and ACP streaming
- internal/orchestrator: Agent coordination and monitoring
- internal/events: In-memory pub/sub event bus

Documentation:
- README.md: Project overview and quick start
- docs/ARCHITECTURE.md: System architecture (current + planned)
- docs/GETTING_STARTED.md: Development setup guide
- docs/IMPLEMENTATION_PLAN.md: Original microservices plan
- backend/NEXT_STEPS.md: Development roadmap
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# 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
- **HTTP API**: RESTful endpoints 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](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
```bash
cd 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
```
### API Usage
```bash
# Create a board
curl -X POST http://localhost:8080/api/v1/boards \
-H "Content-Type: application/json" \
-d '{"name": "My Project", "description": "Project tasks"}'
# Create a column
curl -X POST http://localhost:8080/api/v1/boards/{board_id}/columns \
-H "Content-Type: application/json" \
-d '{"name": "To Do"}'
# Create a task
curl -X POST http://localhost:8080/api/v1/boards/{board_id}/columns/{column_id}/tasks \
-H "Content-Type: application/json" \
-d '{"title": "Fix login bug", "description": "Users cannot login"}'
# Launch an agent for a task
curl -X POST http://localhost:8080/api/v1/agents/launch \
-H "Content-Type: application/json" \
-d '{
"task_id": "{task_id}",
"agent_type": "augment-agent",
"workspace_path": "/path/to/project",
"env": {
"AUGMENT_SESSION_AUTH": "...",
"TASK_DESCRIPTION": "What is 2+2?"
}
}'
# Check agent status
curl http://localhost:8080/api/v1/agents/{agent_id}/status
```
See [backend/NEXT_STEPS.md](backend/NEXT_STEPS.md) for detailed API reference and next steps.
## Project Structure
```
kandev/
├── backend/
│ ├── 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)
│ ├── dockerfiles/ # Agent container Dockerfiles
│ ├── Makefile
│ └── NEXT_STEPS.md # Development roadmap
├── docs/ # Architecture and planning docs
├── migrations/ # Database migrations (future)
├── deployments/ # Deployment configs
└── scripts/ # Utility scripts
```
## Configuration
| Environment Variable | Default | Description |
|---------------------|---------|-------------|
| `KANDEV_DB_PATH` | `./kandev.db` | SQLite database file path |
| `PORT` | `8080` | HTTP server port |
## Development
```bash
cd backend
# Build
make build
# Run tests
make test
# Format code
go fmt ./...
# Lint
go vet ./...
```
## Project Status
✅ **Core Features Working**
- [x] SQLite persistence for boards, columns, and tasks
- [x] Agent lifecycle management with Docker
- [x] ACP message streaming from containers
- [x] Session resumption for multi-turn agent conversations
- [x] RESTful API for all operations
🚧 **In Progress**
- [ ] WebSocket support for real-time streaming to frontend
- [ ] Authentication and authorization
- [ ] Frontend UI
See [backend/NEXT_STEPS.md](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.