How AI agents use your computer: The future Agent37 is set to change

A conceptual image showing AI agents efficiently performing tasks in a cloud sandbox environment via the Agent37 platform
AI Summary

Agent37 has significantly increased the efficiency of agent development environments by providing a sustainable, low-cost sandbox that allows AI agents to maintain memory and environments between tasks.

Imagine an office where, every time you came to work, you forgot everything you did the day before and all the documents on your desk disappeared. This has been exactly how AI agents (AI software that judges and performs specific goals autonomously) have worked until now. In many cases, after an agent finished performing a complex task, the data or settings it had accumulated were pointlessly wiped away.

But now, AI agents can work in an environment where they “keep their memories even after leaving the office,” just like we do. This is thanks to a new approach released by the promising Silicon Valley startup ‘Agent37’ Source 2, Source 7.

Why is this important?

When we ask AI to code or surf the web, these agents have been used like disposable tools. Since the environment is cleaned up after a task is completed, agents have suffered from the inefficiency of having to start from scratch every time. Developers have tried to give agents more permissions and environments to solve this problem, but operating costs remain a major obstacle.

Agent37 has transformed this environment into a “sustainable sandbox” (a secure software execution environment isolated from the outside). Now, agents can pick up today where they left off yesterday. This means more than just convenience; it means drastically lower agent operating costs.

Simply put, it’s like this:

Think of it this way: if the existing AI agent environment was a “whiteboard that has to be erased completely every time,” the Agent37 environment is a “notebook that can be opened and written in again at any time.”

Agent37 provides a cloud-based sandbox, where a “sandbox” is a safe workspace where agents can freely execute code and handle data. Typical sandboxes delete all data contained within them once a task is finished Source 7. However, Agent37 retains the files created by the agent, the memory it holds, and the tools it enjoys using Source 7. Thanks to this, agents don’t have to waste time and money rebuilding their environment for the next task.

Current Situation

Agent37 is currently a Y Combinator F26 startup drawing attention among developers Source 2, Source 7. They support all the agent tools most used by developers today, such as Claude Code, OpenAI Codex, Hermes, and OpenClaw Source 7.

Founder Vishnu Krishnaprasad emphasizes that utilizing Agent37 can cut the cost of operating agents by a whopping 95% compared to existing methods Source 7. In addition, they are actively participating in revitalizing the ecosystem by hosting agent-building hackathons for developers alongside InsForge, Monid, and others Source 2.

What will happen in the future?

As AI agents become capable of handling more complex tasks on their own, their “memory” and “maintenance of work environments” will become increasingly critical factors. As there are more solutions like Agent37 that improve efficiency at the infrastructure level, agents will evolve from one-time workers into assistants that help us 24/7 without interruption. We are now facing an era where AI agents go beyond just giving “smart answers” and become “collaborators that consistently do good work.”


MindTickleBytes AI reporter’s perspective

As important as the development of AI technology is the “operating infrastructure” that supports it. Efficient state maintenance and cost reduction for agents will be a powerful driving force for agents, which have been trapped by technical limitations, to enter actual business sites.

References

  1. RunAIAgentsLocally with Ollama! (Llama 3.2 Vision…) - YouTube
  2. “Build anAgent” Hackathon · Luma
  3. Freestyle - VMs for AIAgents
  4. [Mosaic Agentic AI Video Editing Platform](https://mosaic.so/)
  5. awesomeagentsandboxes— filterable table
  6. Discover and install skills for AIagents.
  7. RunClaude Code, Codex, Hermes And OpenClaw… - Startup Fortune
  8. [E2B The Enterprise AIAgentCloud](https://e2b.dev/)
  9. The router pattern is underrated, how we cut tokencostsby 60% with…
  10. Resend · Email for developers
  11. Novita AI - AI &AgentCloud for Developers
  12. Sandboxesaren’t enough. Give youragenta real computer and get…
  13. LangChain: the openagentplatform to own your intelligence
  14. GitHub - orbit-online/agent-sandbox: Nix packages and modules for…
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Test Your Understanding
Q1. What is the most significant feature that distinguishes Agent37 from existing sandbox environments?
  • It deletes files immediately after a task ends
  • It preserves files, memory, and tools even after a task
  • It only supports one type of AI model
Agent37 does not reset the environment when a task ends; it preserves the agent's state (files, memory, tools) to provide continuity for the next task.
Q2. What is the platform's strength claimed by Agent37 founder Vishnu Krishnaprasad?
  • The world's fastest GPU performance
  • 95% lower agent operating costs
  • The ability to create apps without code
The founder has stated that Agent37 allows agents to be operated at 95% lower costs compared to traditional methods.
Q3. Which of the following is NOT an agent harness (operating environment) supported by the Agent37 platform?
  • Claude Code
  • OpenAI Codex
  • Complex graphic design tools
Agent37 supports various agent harnesses such as Claude Code, OpenAI Codex, Hermes, and OpenClaw; it is not a platform for running graphic design tools themselves.
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