How to Set Up CodeSandbox AI Agent Storage

CodeSandbox AI agent storage enables persistent file handling for agents running in CodeSandbox environments. CodeSandbox sandboxes are ephemeral by design, code runs in isolated VMs or browser contexts that reset on inactivity or closure. Persistence comes from external storage like Fastio workspaces. Agents upload outputs, load datasets, and resume state across sandbox sessions. Key components include CodeSandbox SDK for sandbox management and Fastio MCP tools for file operations (list, read, write, search). Without persistence, agents lose generated files, trained models, or logs between runs. Integration solves this for production workflows.

Helpful references: Fastio Workspaces, Fastio Collaboration, and Fastio AI.

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More on this subject: Agent Memory and Storage (181 guides)

CodeSandbox excels at instant dev environments for prototyping. Its VM sandboxes support full stacks with snapshots for quick resume. However, file storage remains tied to the sandbox lifecycle. Agents require persistence for tasks like iterative code generation, data processing, or multi-step reasoning. A research agent might analyze multiple PDFs over days, losing files mid-task breaks continuity. Common issues without persistence:

• State loss on hibernation (2-second spin-up but data gone)
• No cross-sandbox sharing
• Limited to sandbox disk (credits-based) Fastio fixes this. Agents store artifacts in persistent workspaces, query via RAG, and collaborate with humans.

Fastio offers cloud storage optimized for agent workflows, starting with a 14-day Business Trial (credit card required) before usage-based plans ($29/mo Starter with 1 TB). A consolidated MCP toolset enables file management, reading, writing, and searches over remote HTTP. Intelligence Mode auto-indexes files for RAG queries. Ownership transfer lets agents build workspaces and humans take over. File version history and granular permissions prevent conflicts in multi-agent swarms while append-only audit logs track all access. Compared to S3 (raw objects) or OpenAI Files (ephemeral), Fastio provides workspaces, previews, and collaboration.

Add Persistent Storage to CodeSandbox Agents

Cloud storage with a consolidated MCP toolset ready for file operations across agent sandboxes. Start a 14-day Business Trial.

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Follow these steps to add persistence.

Step 1: Set up Fastio Agent Account

Sign up at Fastio to create your account and initialize workspace "codesandbox-agent-storage".

Generate API key from dashboard.

Step 2: Install CodeSandbox SDK

In your agent code:

npm install @codesandbox/sdk

Step 3: Initialize MCP Client for Fastio

Use MCP or REST client:

from mcp import ClientSession, StdioServerParameters
import asyncio

async def main():
    async with ClientSession(...) as session:
        await session.initialize()
        files = await session.list_files("/", {"glob": "**/*"})
        ### Upload agent output
        await session.write_file("/agent-output/report.json", data)

Step 4: Create Sandbox Programmatically

Spin sandbox, run agent with Fastio tools:

import { Codesandbox } from "@codesandbox/sdk";

const csb = new Codesandbox({ token: "your-token" });
const sandbox = await csb.sandboxes.create({
  template: "node",
  // Agent code uses Fastio MCP
});

Step 5: Test Persistence

Agent generates file → sandbox hibernates → resume sandbox → file loads.

• Webhooks: Notify on file changes (e.g., new threat intel)
• File locks: Acquire before multi-agent writes
• RAG: Query workspace "Summarize recent agent outputs"
• Remote MCP: Connect via Streamable HTTP for natural language tool use

Scale to swarms: One agent per sandbox type, shared Fastio workspace.

• Sandbox credits exhausted: Monitor usage, upgrade tier
• Concurrent write conflicts: Inspect version history to merge changes
• RAG hallucinations: Toggle Intelligence Mode, verify citations
• MCP rate limits: Batch operations, use async