Deploy AI agents
as production services
As easy as Vercel, but for AI agents.
Deploy in one click. Each agent gets its own domain, authentication, logs, and free vector memory. Push to GitHub and auto-deploy in seconds.
Beta currently supports Dank Framework agents. Join waitlist for other frameworks.
Framework Agnostic
Build with any agent framework
Dank Cloud works with any Python, JavaScript, or TypeScript agent framework. Deploy agents the same way no matter how they’re built.
Dank FrameworkBeta
LangChainComing Soon
AutoGenPlanned
PydanticAIPlanned
HaystackPlannedDank FrameworkBetaLangChainComing SoonAutoGenPlannedPydanticAIPlannedHaystackPlannedDank FrameworkBetaLangChainComing SoonAutoGenPlannedPydanticAIPlannedHaystackPlannedDank FrameworkBetaLangChainComing SoonAutoGenPlannedPydanticAIPlannedHaystackPlanned
LlamaIndexPlanned
CrewAIComing Soon
DSPyPlanned
LangGraphComing Soon
MastraPlannedLlamaIndexPlannedCrewAIComing SoonDSPyPlannedLangGraphComing SoonMastraPlannedLlamaIndexPlannedCrewAIComing SoonDSPyPlannedLangGraphComing SoonMastraPlannedLlamaIndexPlannedCrewAIComing SoonDSPyPlannedLangGraphComing SoonMastraPlannedDank Framework
Available Now
Full support for agents built with the open-source Dank Framework. Start deploying today with $10 in free credits.
Join BetaOther Frameworks
Coming Soon
Support for LangChain, CrewAI, LangGraph, and more is on the way. Join the waitlist to be notified when your framework is supported.
Join WaitlistQuick Start
Deploy in 3 steps
From GitHub repo to production endpoint in under 5 minutes
Connect GitHub
Connect your GitHub repo in one click. Dank Cloud detects your agents and their configuration automatically.
Configure
Select which agents to deploy. Set environment variables, secrets, and resource allocation. Everything is configurable from the dashboard.
Deploy
Click deploy. Each agent launches as its own secure, API-addressable service in seconds.
Platform Features
Everything you need to ship agents
We handle the annoying scalable infrastructure—deployment, routing, auth, logs, memory—so you can focus on building great agents.
Agent Management
Full control over every agent
Manage every aspect of your deployed agents through an intuitive dashboard. Monitor performance, configure resources, and optimize utilization in real-time.
Resource allocation
Set CPU, memory, and instance size per agent. Scale resources based on workload requirements.
Real-time monitoring
Track agent status, uptime, and health metrics. Know exactly when something needs attention.
One-click actions
Start, stop, restart, or redeploy agents instantly. Full lifecycle management from the dashboard.
Available Endpoints
GET /healthGET /metricsPOST /promptExample Request
curl -X POST "https://<agent-id>.ai-dank.xyz/prompt" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-d '{"prompt": "Explain how transformers work."}'Dedicated Endpoints
Each agent gets its own domain
Deploy and go straight to production with stable, agent-specific endpoints. Each agent is instantly accessible via its own dedicated HTTPS URL.
Instant production URLs
Every agent gets a unique subdomain. No DNS configuration required.
SSL/TLS by default
All endpoints are secured with HTTPS automatically. No certificate management needed.
Direct HTTP access
Call agents directly via REST API. No routing configuration or gateway setup.
Observability
Per-agent logs and visibility
Clear, isolated logs for each agent. See exactly what each agent is doing, when it fails, and why. No more digging through mixed backend logs.
Isolated log streams
Each agent has its own dedicated log stream. Filter and search per-agent.
Real-time streaming
Watch logs as they happen. Debug issues immediately during development.
Tracing Coming soon
End-to-end request tracing across agent calls in multi-agent workflows.
Integrations
Powerful integrations, zero setup
Connect your tools and services seamlessly. We've built deep integrations so you don't have to.
GitHub Integration
Push to deploy, automatically
Connect your GitHub repository and get full CI/CD out of the box. Every push to your branch triggers an automatic rebuild and redeployment.
Auto-redeployments
Push to your branch, agents redeploy automatically. Zero manual deployment steps.
Fast builds
Optimized Docker builds complete in seconds. Get from code to production faster.
Build logs
Real-time build output and deployment history. Debug build failures instantly.
Vector Memory
Built-in memory for your agents
Every agent comes with a production-ready vector store out of the box. Store and retrieve memory, embeddings, and context without provisioning or operating a database.
Vector storage
Store embeddings for RAG, semantic search, and long-term agent memory.
Fast similarity search
Query vectors with low latency. Weaviate handles indexing automatically.
No setup required
Pre-configured and ready to use. Just connect from your agent code.
Security
Built-in authentication & secrets
Secure your agents with API keys and encrypted secrets. No custom auth or credential plumbing required.
API key management
Generate and manage API keys per agent. Control who can access each endpoint.
Secrets management
Store API keys, tokens, and credentials securely. Secrets are encrypted at rest and injected into agents at runtime.
Environment variables
Set environment variables in the dashboard. Apply changes on deploy, no code changes required.
Architecture
Each agent runs independently
Most platforms run all agents in a shared runtime. Dank deploys each agent as its own service, so failures are isolated, scaling is elastic, and logs are clear.
Shared Fate
All agents share one runtime. One crash kills all. Limited visibility makes debugging harder.
Scaling Requires Restart
When one agent needs more resources, you must shut down everything and redeploy.
No Way to Scale Down
Once upgraded, you're stuck paying for oversized specs even when traffic cools.
Isolated Failures
Each agent runs in its own container. If one crashes, the others keep running. Auto-restart in the background.
Elastic Scaling
Each agent automatically scales independently based on load. Scale up when hot, scale down when idle. Pay only for what you use.
Built-in Routing & Tracing
Requests are automatically routed to available agents to distribute load. Trace every step of multi-agent requests end-to-end.
Pricing
Simple, Usage-Based Pricing
Choose the right instance type for your workload. Pricing is based on actual usage time.
Small
0.25 vCPU, 1 GB RAM
$0.02
per hour
Medium
0.5 vCPU, 2 GB RAM
$0.03
per hour
Large
1 vCPU, 4 GB RAM
$0.06
per hour
XLarge
2 vCPU, 8 GB RAM
$0.13
per hour
Start free with $10 credit
New users get $10 in free credits to test and deploy agents. No credit card required.
Get started freeReady to deploy?
Start building with Dank Cloud today
Join Dank Cloud Beta
Start deploying agents today with full access to all features. Get $10 in free credits to explore the platform.
Get started freeBeta currently supports agents built with the open-source Dank Framework
Using a different framework?
We're adding support for LangChain, CrewAI, and other frameworks. Join the waitlist to get notified.