AgentSphere
AgentSphere provides cloud sandboxes and an official MCP server for running AI-generated code, handling files, and giving agents isolated runtime environments.
About AgentSphere
AgentSphere is an agent-native cloud sandbox platform for teams that need AI systems to run code, manipulate files, and create temporary execution environments without handing those tasks to an uncontrolled local machine. The official homepage positions it as secure LLM code execution infrastructure and an E2B alternative, with MCP-integrated cloud sandboxes, fast startup, stateful execution, filesystem operations, templates, and preview links for services running inside a sandbox. It is a strong fit for AI product builders, developer-tool teams, and platform engineers who want Python or JavaScript SDK access, an MCP server for clients such as Claude Code and Cursor, and operational controls around concurrent sandboxes, session length, resources, and usage costs. Buyers should still verify current usage rates, rate-limit behavior, private deployment requirements, logging retention, and compliance details before relying on it for sensitive or high-volume production workflows.
Best for
Best use cases
A coding assistant needs to run generated Python or JavaScript, inspect logs, and list files without executing untrusted code on a developer laptop.
An AI product needs to create temporary cloud sandboxes for user-submitted scripts, then return command output, generated files, or a preview URL.
A team is benchmarking prompts or code-generation agents and needs isolated, reproducible environments for many concurrent evaluation runs.
A workflow builds a small web app or Streamlit dashboard from local data and needs a hosted preview link from inside the sandbox.
A platform migration replaces ad hoc local containers with an API-backed runtime that supports templates, filesystem operations, and controlled session lifetimes.
An enterprise pilot requires private deployment, identity controls, VPC peering, or compliance review before agents can access sensitive workflows.
Compare before choosing
Compare with E2B when choosing between agent-native sandbox providers, SDK maturity, pricing structure, and language/runtime coverage.
Compare with local Docker or self-hosted Kubernetes when infrastructure control and cost predictability matter more than managed sandbox speed.
Compare with Modal, Fly.io, or serverless job platforms when the workload is general compute rather than interactive agent execution with files and previews.
Compare with browser automation or virtual desktop tools when the main need is GUI control rather than code execution and sandbox filesystem APIs.
Compare with internal platform engineering before enterprise rollout if network isolation, compliance, logging retention, and procurement ownership are critical.
Features
MCP-integrated cloud sandboxes
Connect supported MCP clients to isolated AgentSphere sandboxes so agents can run commands, access files, and return outputs through a controlled server.
Python and JavaScript SDKs
Official quick-start docs show Python and JavaScript or TypeScript SDK flows for creating a sandbox, running code, and listing files.
Secure code execution
The homepage describes secure LLM code execution in isolated cloud environments, with security claims including lightweight VMs and enterprise-grade controls.
Filesystem operations
Documentation and MCP tooling cover reading files, writing files, making directories, listing directories, uploading data, and downloading generated assets.
Preview links for sandbox services
The MCP server includes a preview-link tool for services running inside a sandbox, useful for generated web apps, dashboards, and demos.
Configurable sandbox resources
The pricing page lists plan-specific concurrency, session length, disk, CPU, and RAM limits, with Pro custom resources scaling up to 8 vCPU and 8 GB RAM.
Enterprise deployment options
The homepage references multi-region deployments, VPC peering, identity controls, compliance-ready options, and private deployment for larger organizations.
Pros
- Official MCP server makes it practical to connect sandbox execution to agent clients rather than building a custom tool bridge first.
- Public quick-start docs cover both Python and JavaScript or TypeScript SDK entry points.
- Pricing page exposes a real free plan and a paid Pro plan instead of forcing every buyer into contact sales.
- Homepage and docs focus on agent-specific workflows such as generated code, file handling, preview links, and stateful multi-stage tasks.
- Enterprise messaging covers private deployment, VPC peering, identity controls, and compliance-ready options for larger evaluations.
Cons
- The public usage-cost calculator states per-second sandbox charging, but numeric CPU and RAM rates were not visible in the static page capture.
- Official pricing and rate-limit pages show a concurrency mismatch between Free up to 25 and Basics 20, so current account limits should be checked.
- Some operational details such as logging retention, data residency, procurement terms, and enterprise SLA specifics are not fully documented on public pages.
- Several dashboard routes such as billing, usage, API keys, and playground appear to require an account for meaningful data.
- Teams that only need general batch compute or self-hosted containers may find a managed agent sandbox less direct than their existing platform.
Pricing Plans
Free
- Up to 25 concurrent sandboxes on the price page
- Up to 12 hours maximum session length per sandbox
- 10 GB disk space per sandbox
- Up to 2 vCPU per sandbox
- Up to 512 MB RAM per sandbox
- Start for Free entry point
Pro
- Up to 50 concurrent sandboxes
- Up to 24 hours maximum session length per sandbox
- 20 GB default disk space per sandbox
- 4 vCPU default CPU per sandbox
- 4 GB default RAM per sandbox
- Custom resources up to 8 vCPU and 8 GB RAM
Enterprise
- Custom solution with special pricing
- Custom enterprise-level limits referenced by docs
- Private deployment options referenced on the homepage
- Multi-region deployment messaging
- VPC peering and identity controls referenced on the homepage
- Compliance-ready options referenced on the homepage
* Pricing information is for reference only. Please refer to the latest announcement on AgentSphere's official website.