# Agent37: Low-Cost Sandboxes for Running AI Agents

> Published 2026-10-12 · https://www.promptzone.com/lukas_nakamura/agent37-low-cost-sandboxes-for-running-ai-agents-cfe

**Agent37** launched on Hacker News with a post titled "Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents." The thread reached 34 points and drew 21 comments.

> **Product:** Agent37 | **Focus:** Low-cost agent sandboxes | **YC Batch:** F26 | **HN Score:** 34 points, 21 comments

## What It Is
Agent37 provides isolated execution environments built specifically for AI agents. The service targets developers who need to run agents without managing full virtual machines or paying high cloud rates.

Sandboxes isolate code execution, tool calls, and state changes. This setup prevents one agent from affecting others or the host system.

## How It Works
Users spin up a sandbox through an API or dashboard. Each sandbox runs the agent code in a contained container with defined resource limits.

The platform handles provisioning, teardown, and billing per second of runtime. No persistent infrastructure setup is required on the user side.

## Benchmarks and Community Numbers
The Hacker News thread shows 34 points from 21 comments. Early discussion focused on pricing transparency and isolation guarantees.

No public benchmark numbers for latency or throughput appeared in the launch post. Commenters asked for comparisons against existing tools on cost per hour.

## How to Try It
Sign up at the Agent37 site after the launch. Create an API key, then call the sandbox endpoint with your agent script.

Basic flow:
- POST request to start a sandbox
- Run agent code inside the returned environment
- Retrieve logs and results on completion

The HN post links to documentation for exact endpoints.

## Pros and Cons
- Low per-second pricing reduces cost for short agent runs
- Purpose-built isolation for agent workflows
- YC backing provides initial credibility

- Limited public performance data at launch
- New platform means fewer community integrations than mature tools
- Requires code changes to fit sandbox API

## Alternatives and Comparisons

| Feature          | Agent37     | E2B         | Modal       |
|------------------|-------------|-------------|-------------|
| Target use       | AI agents   | Code execution | General serverless |
| Pricing model    | Per-second  | Per-second  | Per-second  |
| HN discussion    | 34 points   | Multiple threads | Frequent mentions |
| Isolation focus  | Agent-specific | General     | Container-based |

E2B provides similar sandboxes but with broader code-execution focus. Modal offers more general compute but requires additional setup for agent patterns.

## Who Should Use This
Teams running frequent short-lived agents benefit most from the low-cost model. Researchers testing agent behaviors in isolation gain quick environments without DevOps overhead.

Skip Agent37 if you need long-running stateful services or already maintain custom Docker fleets with lower marginal cost.

> **Bottom line:** Agent37 fills a pricing gap for developers who run many brief agent sessions and want isolation without managing infrastructure.

The launch signals growing demand for specialized runtime layers as agent usage scales beyond prototypes.