AI Agent Tasks with Burst
Run long-running AI agent workflows in the background. Perfect for Claude Code, autonomous agents, and tasks that take hours to complete.
The Problem
AI agents are getting more capable, but they often need to run for extended periods:
- Claude Code tasks can take hours for complex codebases
- Autonomous agents need to run multiple steps sequentially
- Research agents may need to browse, read, and synthesize for hours
- Your laptop can't stay open for the entire duration
You need a way to kick off an agent task, walk away, and come back to the results.
How Burst Solves It
Burst lets you run agent tasks in isolated VMs that keep running after you close your terminal. Submit your agent script and check back when it's done.
$
burst run ./agent-task.py
Uploading... done.
Running in vm-4h7j.
You can close this terminal.
Monitor your agent's progress in real-time:
$
burst logs
[10:45:12] Agent: Analyzing codebase structure...
[10:52:33] Agent: Implementing feature in 4 files...
[11:03:17] Agent: Running tests...
Done. 1h 23m
Why Burst for AI Agents
- Long-running support — Agents can run for hours without timeouts
- Isolated environments — Each agent gets its own clean VM
- Fire and forget — Start the agent and walk away
- Real-time monitoring — Stream agent logs as it works
- Full environment access — Install any packages, access the filesystem
Use Cases
- Claude Code — Run complex refactoring or feature implementation tasks
- Research agents — Let agents browse, read, and compile information
- Code review agents — Analyze entire codebases for issues
- Data analysis agents — Process and analyze large datasets
- Testing agents — Run comprehensive test suites autonomously
Comparison
| Feature | Burst | Local | Cloud Functions |
|---|---|---|---|
| Max runtime | Unlimited | While laptop on | 15 min |
| Background execution | Yes | No | Limited |
| Environment isolation | Full VM | Shared system | Container |
| Setup | 1 min | None | 30+ min |
Ready to run AI agents in the background?
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