Creating Custom Cloud Agents
You can only create and edit AI Agents in the Continue Mission Control web interface. This ensures proper validation, versioning, and team collaboration features.
Creating a Cloud Agent
1
🧭 Navigate to Create Agent
Navigate to the New Agent page.
2
🧩 Fill Out the Agent Form
Configure your Cloud Agent with the following fields:
| Field | What to Enter | Example |
|---|---|---|
| Name | Display name shown in Mission Control | GitHub PR Agent |
| Prompt | First instruction the agent receives | Open a GitHub PR to fix the specified issue. |
| Tools (MCPs) | Select built-in or custom MCPs | GitHub, PostHog, Supabase, etc. |
| Rules | Add any organizational rules | continuedev/gh-pr-commit-workflow |
| Model | Choose a default LLM | Claude Sonnet 4.5 |
| Trigger | Determines when the cloud agent will be invoked | GitHub, cron, webhook |
Tip: Start with a simple prompt and add complexity through rules and tools. The prompt should be a clear, single instruction that defines the AI Agent’s primary goal.
3
💡 Choose Repository & Automation
In the right panel, you can select the repository where the agent will run, and decide if the agent should automatically kick off on creation.
4
✅ Create and Test
Click “Create Agent” to save and publish it.Your agent is immediately available to run in:
- Mission Control web interface
- TUI mode:
cn --agent your-org/your-agent-name - Headless mode:
cn --agent -p your-org/your-agent-name "prompt" --auto
Editing a Cloud Agent
You can edit any AI Agent you own or that has Organization-level access. From the Agents page, click your agent’s name. Change any of the fields in the edit form, then click “Save Changes”.Example Agent Configurations
Here are proven agent configurations you can create or use as inspiration:Security Scanner Cloud Agent
Snyk Continuous AI Agent - Comprehensive security scanning with Snyk MCP integration.Automates dependency analysis, vulnerability scanning, and creates remediation PRs with Cloud Agent powered fix suggestions.
Performance Monitoring Cloud Agent
Netlify Continuous AI Agent - Performance optimization with A/B testing and monitoring.Cloud Agent tracks Core Web Vitals, identifies regressions, and provides optimization recommendations.
Error Monitoring Agent
Sentry Continuous AI Agent - Automated error analysis and issue creation.Monitors production errors, provides root cause analysis, and creates actionable GitHub issues.
GitHub Management Cloud Agent
GitHub Manager AI Agent - Comprehensive GitHub workflow automation.Handles issue triage, PR reviews, and release note generation with natural language prompts.
Database Management Cloud Agent
Supabase Continuous AI Agent - Database security and management workflows.Audits Row Level Security, identifies vulnerabilities, and generates fixes automatically.
Troubleshooting
Common issues and solutions:| Problem | Solution |
|---|---|
| Cloud Agent doesn’t complete tasks | Simplify the prompt, add more specific instructions, verify tool permissions |
| Tools aren’t working | Check MCP configuration, verify API keys and permissions in Hub settings |
| Inconsistent behavior | Add rules to enforce consistent patterns, test with various input scenarios |
| Performance issues | Consider model choice, simplify complex multi-step workflows, optimize tool usage |