Nebula DeckAI Sandbox for Chat Apps

Nebula Deck offers an always-on, sandboxed AI workspace accessible directly from Telegram, Discord, WhatsApp, Slack, or web browsers. It features persistent memory, project awareness, web search, code execution, and MCP tools. Users bring their own LLM API keys (zero markup) and are billed by the second, stopping when not in use.

paid

Nebula DeckAI workspacesandboxmulti-platformTelegramDiscordpay-per-secondautonomous coding agentOpenHandsdeveloper tools

IndexedJuly 17, 2026

UpdatedJuly 20, 2026

4.1 (0 Number of reviews)

The idea of an AI workspace isn't exactly groundbreaking, but Nebula Deck takes a rather pragmatic approach: it doesn't force you out of your preferred chat applications. Whether you're in Telegram, Discord, WhatsApp, Slack, or a web browser, you can summon a sandboxed AI environment directly. This 'always-on' design is a significant convenience for developers or teams who frequently collaborate with AI, eliminating the constant context switching between different windows and tools.

At its core is the Moltis engine, which handles persistent memory, project awareness, and context management. Sounds abstract, but it clicks once you try it: the AI remembers your previous conversations and project files, so you don't have to re-explain the background every time. Beyond memory, it integrates web search, code execution, and MCP (Model Context Protocol) tools. This means you can ask it to run a script, look up the latest documentation, or even call external services right within your chat. This combination transforms Nebula Deck from a mere chat window into a truly extensible assistant.

From Chat to Code: The OpenHands Agent

Perhaps the most intriguing feature is the OpenHands agent. You can literally 'spawn' an autonomous coding agent directly within your chat. This agent can clone repositories, tackle development tasks, and even open pull requests. For solo developers or small teams, this is akin to delegating junior developer work to an AI – assuming, of course, you trust its code. Nebula Deck's sandboxed environment ensures these operations don't impact your local system, keeping the risks contained.

Seamless multi-platform access via Telegram, Discord, WhatsApp, Slack, and Web.
Persistent memory and project awareness reduce repetitive context setting.
Integrated code execution, web search, and MCP tools for enhanced extensibility.
Bring your own LLM API keys with zero markup on usage.
One-click rollback for quick recovery from issues.

The Appeal of Zero Maintenance and Hidden Costs

The official pitch emphasizes 'zero maintenance': no Docker, no server crashes, and one-click rollbacks. For users who dread infrastructure management, this is a compelling selling point. The pay-per-second, stop-when-done billing model is also incredibly flexible – you only pay for actual usage, and the environment automatically shuts down when idle. However, a word of caution: if you maintain active sessions for extended periods, costs can accumulate. Since it relies on your own LLM API keys, you're still responsible for those API call costs. Nebula Deck itself doesn't take a cut from your LLM usage, but its platform fees are calculated by the second.

This pricing strategy is quite similar to serverless functions: pay for what you use, nothing when idle. For scenarios with occasional heavy use but long periods of inactivity, it might be more cost-effective than a fixed monthly subscription.

Who Should Consider Nebula Deck?

First, developers already deeply embedded in chat tools like Telegram or Discord will find an enhanced AI workbench without disrupting their workflow. Second, small teams or individuals needing an autonomous coding agent can leverage OpenHands to accelerate development. Finally, anyone tired of maintaining AI infrastructure will appreciate the hassle-free sandboxed environment.

However, limitations are also apparent. All operations depend on network connectivity, and while the sandbox is secure, it might not handle tasks requiring extensive local resources. Also, the variety of LLMs supported currently depends on your own API keys, offering flexibility but requiring user configuration.

A practical tip: if a free trial is available, start there. Run a minimal project with the OpenHands agent to get a feel for the billing speed and response latency. For occasional use, pay-per-second is great; for daily, multi-hour usage, calculate the total cost and compare it to traditional subscription services. Always be mindful of your API key security, especially in shared chat environments.

Pros & Cons

Pros

Seamless integration with multiple chat platforms
Persistent memory and project awareness
Built-in code execution and web search
OpenHands autonomous coding agent
Pay-per-second billing with zero LLM API markup

Cons

Pay-per-second billing might be costly for heavy, continuous users
Sandboxed environment cannot directly access local resources
Requires constant network connection, no offline functionality

Frequently Asked Questions

Is Nebula Deck free to use?

Nebula Deck does not offer a permanent free tier and operates on a pay-per-second model. However, they might provide limited free trial credits. It's best to check their official website for the most current policy details.

Does Nebula Deck support multiple languages, including English?

The platform interface and chat interactions support multiple languages, including English. However, the quality of the AI's responses will depend on the specific LLM model you choose to use and its language capabilities.

Can I use my own OpenRouter or Azure keys with Nebula Deck?

Yes, you can. The official claim is 'bring your own LLM API keys, zero markup,' which implies that any endpoint compatible with the OpenAI API format should theoretically be configurable within Nebula Deck.

How does Nebula Deck compare to tools like GitHub Copilot or Cursor?

Nebula Deck's key advantages lie in its multi-platform integration (especially within chat applications) and its autonomous coding agent capabilities, alongside its flexible pay-per-second pricing. Its main drawback is that it's a sandboxed environment, meaning it cannot directly access your local file system.

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