Dank

Product Introduction

1. Overview: Dank is a JavaScript-native AI agent framework with one-click deployment. It allows developers to define AI agents in JavaScript and deploy them as independent, production-ready services without managing infrastructure.
2. Value: Dank removes the friction of deploying AI agents by handling containerization, secrets, logging, resource allocation, and hosted vector memory, so developers can focus on agent logic instead of ops.

Main Features

1. JavaScript-Native Agents: Define and run AI agents using Node.js and the JavaScript ecosystem. No Python stack required. Works naturally with npm, modern JS tooling, and existing web backends.
2. One-Click Production Deployment: Connect a GitHub repo and deploy agents to a production URL in one click. Dank handles containerization, runtime configuration, and environment isolation automatically.
3. Isolated Agent Services & Clear Logs: Each agent is deployed as its own service, separate from your main application backend. This keeps logs clean and agent-specific, making debugging and iteration far easier than when agents are bundled into noisy, monolithic backends. Hosted vector memory and per-agent logs come built in.

Problems Solved

1. Challenge: AI agents often work locally but become painful to deploy and debug in production, especially when they’re bundled into existing backends where logs become noisy and hard to reason about.
2. Audience: JavaScript developers building AI agents who want production-ready deployment without setting up Docker pipelines, cloud infrastructure, or separate vector databases.
3. Scenario: Running one or more AI agents in production as independent services, with clean logs and isolated runtimes, instead of embedding them inside an existing backend where debugging quickly becomes unmanageable.

Unique Advantages

1. Vs Competitors: Dank focuses on production deployment, not just agent logic. Agents run as independent services with their own logs, resources, and memory, instead of being buried inside application backends where observability breaks down.
2. What’s Different: Hosted vector memory, simple local → production switching, and deep per-agent observability come built in, making it easier to ship and iterate on real agent-powered products.

Frequently Asked Questions (FAQ)

1. Is Dank open source? The agent framework is open source. Dank Cloud provides hosted deployment, memory, and observability.
2. Do I need to manage Docker or cloud infrastructure? No. Deployment is handled for you. You don’t need to write Dockerfiles or manage cloud services to run agents in production.
3. Can multiple agents share memory? Yes. Projects can connect multiple agents — or even frontends — to the same hosted vector memory using project-scoped credentials.