stackweaver 0.1.2

The Autonomous System Integrator - AI-powered Docker orchestration

🧵 StackWeaver - Weave Production-Ready Docker Stacks with AI

Turn natural language into production-ready infrastructure.

"I need a CRM + Project Management + Chat" → stackweaver init → Working stack in 5 minutes ⚡

---

🎯 What is StackWeaver?

StackWeaver is an AI-powered CLI that transforms natural language into production-ready Docker stacks:

• 🔍 Search 50+ curated OSS tools via AI semantic search
• ⚙️ Generate production-ready docker-compose.yml with 100% validation
• 🚀 Deploy locally with automatic Traefik reverse proxy (SSL + subdomains)
• 🔐 Manage secrets, volumes, and dependency isolation automatically

Target User: Technical solopreneurs who know Docker basics but hate infrastructure configuration.

---

🚀 Quick Start

Prerequisites

• Python 3.11+ (Check: python --version)
• Docker Desktop (Check: docker --version)
• Git (Check: git --version)

Installation

Option 1: pip + venv (Recommended for Windows)

# Clone repository
git clone https://github.com/stackweaver-io/stackweaver.git
cd stackweaver

# Create virtual environment
python -m venv .venv

# Activate (Windows)
.\.venv\Scripts\Activate.ps1

# Activate (Linux/Mac)
source .venv/bin/activate

# Install
pip install -e .

# Verify installation
stackweaver --version

Option 2: Poetry

# Clone repository
git clone https://github.com/stackweaver-io/stackweaver.git
cd stackweaver

# Install dependencies
poetry install

# Verify installation
poetry run stackweaver --version

First Run

# Initialize configuration
stackweaver version

# This creates ~/.stackweaver/config.yaml
# Edit it to add your LLM API key (optional, not needed for Ollama)

# Ingest tool catalog
python -m stackweaver.search.ingest

# You're ready!
stackweaver init

---

📖 Usage

Search for Tools

stackweaver search "project management tool"
# Returns: Taiga, Kanboard, OpenProject

stackweaver search "I need a CRM"
# Returns: EspoCRM, SuiteCRM, Monica

Initialize and Deploy a Stack

# Initialize project
stackweaver init --query "CRM for small business"

# Review generated files
ls stack/
# docker-compose.yml, .env

# Deploy the stack
stackweaver deploy

# Access your services
open http://espocrm.localhost

Manage Deployments

stackweaver status      # Check running services
stackweaver logs        # View service logs
stackweaver rollback    # Stop and remove stack

📚 For detailed usage, see USER-GUIDE.md

---

🏗️ Architecture

Technology Stack

• AI/ML: ChromaDB (vector search), LiteLLM (multi-LLM support)
• CLI: Click, Rich (beautiful terminal UI)
• Docker: Docker SDK, python-on-whales
• Templates: Jinja2
• Validation: Pydantic v2

Project Structure

stackweaver/
├── cli/              # Command-line interface
├── search/           # Semantic tool search
│   ├── schemas.py    # Pydantic models
│   ├── vector_store.py  # ChromaDB wrapper
│   ├── llm_ranker.py    # LLM re-ranking
│   ├── tool_search.py   # Search API
│   └── ingest.py     # Catalog ingestion
├── generator/        # docker-compose generation (Epic 2)
├── deployer/         # Docker deployment (Epic 3)
├── knowledge_base/   # Tool catalog (55 tools)
└── utils/            # Config, helpers

tests/
├── unit/             # Unit tests (108 tests)
└── integration/      # Integration tests

---

🗂️ Configuration

Edit ~/.stackweaver/config.yaml:

# LLM Provider (openai, anthropic, ollama)
llm_provider: openai
llm_model: gpt-4o
llm_api_key: sk-your-key-here  # Not needed for Ollama

# Docker Settings
docker_socket: unix:///var/run/docker.sock

# Deployment Settings
traefik_domain: localhost

# Search Settings
search_top_k: 3
use_llm_rerank: true

📚 For complete configuration reference, see CONFIGURATION.md

---

🧪 Development

Setup

# Install dev dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pre-commit install

# Run tests
pytest

# Run tests with coverage
pytest --cov=stackweaver --cov-report=html

# Lint and format
black .
ruff check .
mypy stackweaver

Running Tests

# All tests
pytest

# Unit tests only
pytest tests/unit/

# Integration tests
pytest tests/integration/

# Specific module
pytest tests/unit/search/

# With coverage report
pytest --cov=stackweaver --cov-report=term-missing

---

📦 Tool Catalog

StackWeaver includes 55 production-ready OSS tools across 15 categories:

Category	Examples
Project Management	Taiga, Kanboard, OpenProject, Wekan, Focalboard
CRM	EspoCRM, SuiteCRM, Monica, Twenty
Chat	Rocket.Chat, Mattermost, Zulip
Analytics	Metabase, Superset, Redash, Plausible, Umami
Database	PostgreSQL, MySQL, MongoDB, Redis, ClickHouse
Storage	Nextcloud, Seafile, MinIO, Pydio
Automation	n8n, Huginn, Automatisch
Monitoring	Grafana, Prometheus, Uptime Kuma
Development	Gitea, GitLab, Jenkins
Security	Vaultwarden, Authentik, Keycloak
Infrastructure	Traefik, Nginx, Caddy, Portainer
Email	Mailcow, Mailu, Docker Mailserver
Wiki	BookStack, Wiki.js, Outline
CMS	WordPress, Ghost, Strapi, Directus
Marketing	Listmonk, Mautic, Chatwoot

All tools are:

• ✅ Actively maintained (last updated < 6 months)
• ✅ Production-ready (quality score > 5/10)
• ✅ Docker-ready (official images)
• ✅ Well-documented

---

🛣️ Roadmap

Epic 1: Knowledge Base Foundation ✅ (COMPLETE)

• Project structure & CLI scaffolding
• Tool schema & catalog (55 tools)
• ChromaDB vector store
• Tool ingestion pipeline
• LiteLLM multi-provider integration
• Semantic search (vector + LLM hybrid)
• Configuration management

Epic 2: Stack Generation ✅ (COMPLETE)

• Jinja2 template engine
• docker-compose.yml generation
• 3-stage validation pipeline
• Conflict resolution (Isolation strategy)
• Secret generation

Epic 3: Deployer & CLI ✅ (COMPLETE)

• Docker SDK integration
• Traefik reverse proxy setup
• CLI commands (init, deploy, status, rollback)
• Health checks & monitoring

Epic 4: Core Engine & Testing ✅ (COMPLETE)

• ResourceManager (Singleton DI)
• StackWeaverCore (Central orchestration)
• Config & State Management
• Structured Logging
• Agent Interfaces (Phase 2 prep)
• CI/CD Pipeline
• Comprehensive Documentation
• 520+ Unit & Integration Tests
• 88% Code Coverage

Phase 2: LangGraph Agents (2026)

• Curator Agent (Intelligent tool search)
• Architect Agent (Smart stack design)
• Deployer Agent (Self-healing deployment)
• Monitor Agent (Proactive monitoring)

---

🤝 Contributing

Contributions are welcome! Please read CONTRIBUTING.md for guidelines.

Quick Contribution Guide

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run tests (pytest)
5. Run linters (black . && ruff check . && mypy stackweaver)
6. Commit (git commit -m 'Add amazing feature')
7. Push (git push origin feature/amazing-feature)
8. Open a Pull Request

---

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

---

📚 Documentation

• User Guide - Complete usage instructions
• Troubleshooting - Common issues and solutions
• Examples - Real-world deployment scenarios
• Configuration - Detailed configuration reference
• Phase 2 Migration - LangGraph integration guide

🔗 Links

• GitHub: github.com/stackweaver-io/stackweaver
• Issues: github.com/stackweaver-io/stackweaver/issues
• Discussions: github.com/stackweaver-io/stackweaver/discussions

---

🙏 Acknowledgments

Built with love by Ahmed and powered by:

• ChromaDB - Vector database
• LiteLLM - Multi-LLM interface
• Click + Rich - CLI framework
• Docker - Container platform
• Pydantic - Data validation

---

Made with 🧵 by the StackWeaver team