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Agents

Working with Agents

Build custom AI agents in Nebula for code, web, and app tasks. Choose from built-in agents or create your own to automate complex workflows.

Agents are AI assistants that handle different tasks. When you ask Nebula to do something, it acts as a super-agent — an intelligent coordinator that figures out which specialized agents are needed and delegates work to them. Nebula comes with built-in agents and automatically creates new ones when you connect apps, so you can start getting things done right away.

Not sure how to configure your agent? Ask Nebula to do it for you — it has tools to create and modify agents directly.

Built-in agents

Writes and runs Python, Bash, or TypeScript on your Device. Common data science libraries like pandas, numpy, and matplotlib are pre-installed.

Searches the web, reads pages, extracts structured data, and gathers information from any public website.

Generates images from text descriptions, transcribes audio recordings, converts text to speech, and processes media files.

Sends and reads emails from your Nebula inbox at username@nebula.me.

Auto-created agents

When you connect an app like Slack or GitHub, Nebula automatically creates a dedicated agent for it. Your Slack Agent can read channels, post messages, and manage your workspace. Your GitHub Agent can triage issues, manage pull requests, and more.

You don't need to configure these agents; they're ready to use as soon as you connect the app.

How agents get work done

Reads any relevant context — files, previous messages, connected app data.
Uses its tools to take actions — querying APIs, running searches, processing files.
Reports results back to Nebula, which summarizes them for you.

For longer tasks, you can watch an agent's progress in real time in the task timeline view on the web app.

Creating custom agents

The easiest way is to just ask:

You

Create a new agent called Research Assistant. It should search the web for AI news and summarize the top stories clearly and concisely.

Create Agent

Creating Research Assistant agent with web search capability.

Nebula
Nebula

Done! Your Research Assistant agent is ready with web search enabled and instructions to find and summarize AI news concisely.

Agent detail page

Click any agent to see its detail page.

Tools — APIs and services the agent can call (e.g., Sentry API, Web Search).
Connected Apps — third-party apps linked to the agent, with connection status.
Variables — secrets and config values the agent needs (e.g., API tokens). You can add, edit, and configure these.
Model — the AI model powering the agent. Click the model badge to change it. See Choosing a Model.
About — the agent's description and purpose.
System Prompts — the full system prompt that shapes the agent's behavior. Read-only on the detail page.
Linked Triggers — any automations connected to this agent.
Activity — execution history showing past tasks the agent has run.
Click any task to see the full timeline of steps, API calls, and results.

What's next?

Tools & Connected Apps

Understand what your agents can work with

System Prompts

How instructions shape agent behavior

Browse Recipes

See real-world tasks you can accomplish

Messaging Platform Integrations

Connect Nebula to Slack, Discord, and Telegram so you can chat with your AI agent directly inside your favorite messaging apps.

Built-in vs Custom Agents

Understand the difference between Nebula's built-in agents and custom agents you create, and learn how to enable, disable, and inspect them.

On this page

Built-in agentsAuto-created agentsHow agents get work doneCreating custom agentsAgent detail pageWhat's next?