JavaScript-native AI agent orchestration via containerization. Deploy anywhere, scale infinitely.
npm install -g dank-aiFrom installation to running your first agent in under 5 minutes.
npm install -g dank-aiInstall Dank globally with a single command. Auto-detects and installs Docker if needed.
dank init my-agent-projectCreate your agent configuration and project structure with built-in templates.
dank runDeploy and manage your agents with Docker orchestration and real-time monitoring.
JavaScript-powered, Docker-native, and open-source from day one.
Deploy and manage multiple AI agents as containerized services

Built on the world's most popular programming language. No Python dependencies, no complex setup—just familiar JavaScript that every developer knows.
Docker containers work everywhere—AWS, GCP, Azure, Kubernetes, or your own servers. Deploy to any stack, any cloud, any infrastructure.
MIT licensed and community-driven. Add custom LLM providers, extend functionality, or contribute back to the ecosystem.
Docker-native architecture means your agents build, test, and deploy like any other containerized application.

Dank automatically builds optimized Docker images of your agents with all dependencies included. No more "works on my machine" issues.
dank build --push registry.com/my-agent:v1.0Deploy to any container orchestration platform—Kubernetes, Docker Swarm, AWS ECS, or your own infrastructure. Same agent, anywhere.
Simple JavaScript configuration with powerful Docker orchestration under the hood.
Define your AI agents with clean, readable JavaScript. No complex YAML files or obscure configuration syntax.
OpenAI, Anthropic, Cohere, Ollama—or add your own custom provider with a few lines of code.
Set memory, CPU, and timeout limits. Dank handles the Docker container configuration automatically.
Define prompts, add event handlers, and customize behavior with familiar JavaScript patterns.
Manage every aspect of your containerized agents through an intuitive interface. Monitor performance, configure resources, secure endpoints, and optimize utilization in real-time.

Allocate CPU, memory, and storage per agent. Set resource limits and requests to ensure optimal performance without over-provisioning.
Configure HTTP endpoints, webhooks, and API routes for each agent. Manage request routing, rate limiting, and response handling.
Implement authentication, authorization, and encryption at the agent level. Define access policies and manage API keys securely.
Track agent performance with detailed metrics and logs. Monitor response times, error rates, and resource consumption in real-time.
Full control, zero complexity. Manage agents like containers, deploy like microservices.
Enterprise-grade security, dedicated endpoints, and secure configuration management built in from day one.

Protect endpoints with custom API keys. Expose public endpoints for customers while securing internal endpoints for your team with granular access control.

Deploy and go straight to production with operational agent addresses. Each agent gets its own dedicated hostname for immediate accessibility.

Parameterize your agent configuration with environment variables. Update settings without redeploying code for flexible, maintainable agents.

Store API keys, tokens, and sensitive credentials securely. Encrypted at rest with access controls to protect your production deployments.
Production-ready from the start. Security, scalability, and reliability built into every deployment.
Deploy, build, and manage your agents with simple commands.
dank runDank automatically builds Docker images, manages containers, and provides real-time monitoring with zero configuration.
dank buildCreate optimized Docker images with all dependencies included. Perfect for production deployment and CI/CD pipelines.
dank build --pushBuild and push your agent images to any Docker registry. Integrates seamlessly with GitHub Actions and GitLab CI.
Loose coupling, flexible development, and patterns every developer already knows.
Intercept requests before they hit the LLM to add database calls, RAG systems, and user context. Make your agents stateful and context-aware with familiar JavaScript patterns.
Event listeners, async/await, and standard JavaScript patterns. No new syntax to learn—just the patterns you already use.
Handlers are independent and composable. Add, remove, or modify logic without affecting other parts of your system.
Test individual handlers in isolation. Mock events, verify outputs, and ensure reliability with standard testing practices.
Preprocess requests, enhance responses, and add stateful behavior with database calls and RAG systems.
Deploy agents across disparate cloud services with independent scaling and resource allocation.
Each agent runs in its own isolated container
Each agent is packaged as an independent Docker container that can be deployed to any cloud provider, scaled independently, and managed separately from other agents.
Scale each agent based on its specific workload. High-traffic agents get more resources while low-usage agents stay cost-effective.
Deploy different agents to different cloud providers. Use AWS for some, GCP for others, Azure for compliance requirements.
Each agent gets its own memory, CPU, and network resources. No resource contention between agents, ensuring consistent performance.
Commit agent runtimes to any container registry—Docker Hub, AWS ECR, GCP Artifact Registry, or Azure Container Registry.
As easy as Vercel, but for AI agents. Deploy in seconds, scale automatically, pay only for what you use.
New users get $10 in free credits to explore Dank Cloud. No credit card required to start.
Choose the right instance type for your workload. Pricing is based on actual usage time.
Ready to deploy? Get started with Dank Cloud today.
Go to Dank Cloud →Runtime independent AI Agent Framework.

An elusive figure who emerges from the digital shadows, crafting tools that exist in the liminal space between human creativity and artificial intelligence. Delta-Darkly operates in the interstices of code and consciousness, building bridges between worlds that were never meant to meet.
Like a digital phantom, they appear only when the code compiles and the containers run. Their presence is felt in the elegant simplicity of solutions that others find impossibly complex.
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