# 5 Best AI Agent Sandboxes for Solo Builders (2026) Summary: AI agent sandboxes for a solo builder, compared on price, free credit, and MCP. Five ways to run agent code, from the vendor pages checked Oct 26, 2026. Canonical: https://www.dharmikjagodana.com/blogs/best-ai-agent-sandboxes-for-solo-builders Updated: 2026-11-07 Author: Dharmik Jagodana Tags: [#AI Agents](https://www.dharmikjagodana.com/blogs/tags/ai-agents.md), [#tools](https://www.dharmikjagodana.com/blogs/tags/tools.md), [#solo-builders](https://www.dharmikjagodana.com/blogs/tags/solo-builders.md) ## Key takeaways - AI agent sandboxes run code an agent wrote, away from your own files. - First is E2B. Hobby is $0, with a one-time $100 credit, no card, and an MCP gateway. - Daytona includes $200 of compute. Vercel pauses instead of billing past the Hobby quota. Docker keeps local compute free. - E2B and Daytona need no card. Modal Starter is $0 and includes $30 of compute a month. AI agent sandboxes are the machines that run code an agent wrote, away from your own files. To start with no card, E2B Hobby includes a $100 credit, and Daytona includes $200 of compute. Vercel Sandbox is free on Hobby inside a monthly quota. Going over that quota pauses the sandbox instead of charging you. Docker Sandboxes keeps local compute free, including commercial use. Cloud is pay as you go. Modal's Starter plan is $0 and includes $30 of compute a month. The rates below are from vendor pages checked on October 26, 2026. I have not used these products. - Best for a $100 credit and an MCP gateway: [E2B](https://www.dharmikjagodana.com/blogs/best-ai-agent-sandboxes-for-solo-builders.md#e2b). - Best for a $200 credit and a CLI MCP server: [Daytona](https://www.dharmikjagodana.com/blogs/best-ai-agent-sandboxes-for-solo-builders.md#daytona). - Best for a hard stop on the bill: [Vercel Sandbox](https://www.dharmikjagodana.com/blogs/best-ai-agent-sandboxes-for-solo-builders.md#vercel-sandbox). - Best for a free sandbox on your own machine: [Docker Sandboxes](https://www.dharmikjagodana.com/blogs/best-ai-agent-sandboxes-for-solo-builders.md#docker-sandboxes). - Best for $30 of compute every month: [Modal](https://www.dharmikjagodana.com/blogs/best-ai-agent-sandboxes-for-solo-builders.md#modal). Updated November 7, 2026. - Written for November 7, 2026. Vendor pages checked October 26, 2026. No hands-on testing. - November 2, 2026: opened Docker's October 29 post, NVIDIA's October 30 NemoClaw post, and Anthropic's sandbox-runtime pages. The five rows are unchanged. - November 6, 2026: linked the November 29 list of managed agent runtimes. The five rows are unchanged. ## How this list was chosen An assistant drafted this from the vendors' own pages. I have not used E2B, Daytona, Vercel Sandbox, Docker Sandboxes, Modal, Cloudflare Containers, NemoClaw, or Anthropic's sandbox runtime. There is no hands-on test in this post. Checked on October 26, 2026. Each tool section links the page the sentence comes from. When a page is silent, the line says "not stated". When two sentences on the same page disagree, both are quoted. Docker's October 29 post, NVIDIA's October 30 NemoClaw post, and Anthropic's sandbox-runtime pages were opened on November 2, 2026. They did not change the five. The five were picked on these criteria, in this order: - The page says the product runs agent code or other untrusted code in a sandbox. - A stated free start: a $0 plan, a credit, or included hours. - A price you can read without asking sales for the entry number. - Whether the docs describe MCP. - One person can open an account. A team plan is not required. Affiliate programs did not change who is on the list or the order. No link in this post is an affiliate link. Left off: - [Cloudflare Containers](https://developers.cloudflare.com/containers/platform/pricing/). The pricing page, updated October 5, 2026, puts included container usage on the Workers Paid plan at $5 a month. The free row is N/A for memory and CPU. That is a real price, and it is not a $0 start, so it is not in the five. - Northflank and Fly.io also sell places an agent can run. I did not open a current pricing page for either, so they are not ranked and no price for them is quoted here. - [NVIDIA NemoClaw](https://developer.nvidia.com/blog/build-specialized-agents-on-a-stack-you-control-with-nvidia-nemoclaw/). The October 30, 2026 post says NemoClaw open blueprints combine a tuned setup for OpenClaw, Hermes Agent, or LangChain Deep Agents, Nemotron models, NeMo tools, and the OpenShell secure runtime. OpenShell governs access to files, networks, credentials, and tools. A sandbox price is not stated. It stays off the five because the page describes a blueprint stack, not a sandbox with a published $0 start. - [Anthropic's sandbox runtime](https://github.com/anthropics/sandbox-runtime). The README calls `@anthropic-ai/sandbox-runtime` a research preview that restricts a process's filesystem and network at the OS level, without a container. It uses Seatbelt on macOS and bubblewrap on Linux. The license file is Apache-2.0. The [Claude Code docs](https://code.claude.com/docs/en/sandbox-environments) say that by default the runtime denies network access. It stays off this list because it is a boundary around a process on your machine, not a separate machine for the agent's code. A price is not stated on those pages. ## Comparison The tool name stays in the first column while the other columns scroll. Comparison of AI Agent Sandboxes for Solo Builders, vendor data as of November 7, 2026 | Tool | Best for | Starting price | Free tier | MCP support | AI models | Platforms | Open source/self-host | Standout feature | Main drawback | Isolation | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [E2B](https://e2b.dev/) | A $0 Hobby plan with a $100 credit and an MCP gateway | Free ($0) | $100 one-time credit. No card. Then usage | Official gateway inside the sandbox, 200+ catalog tools | Bring your own model. E2B supplies the machine | Cloud API. Python and JavaScript SDKs | E2B Embed is Apache-2.0. The cloud is hosted | Firecracker microVM, and secrets stay out of the sandbox | Hobby sessions stop at 1 hour unless you pause | Firecracker microVM, own kernel | | [Daytona](https://www.daytona.io/pricing) | $200 of compute and an MCP server in the CLI | Free | $200 compute credit. No card. GPU credits excluded | Official CLI server for Claude, Cursor, and Windsurf | not stated | Cloud. CLI install on Mac, Linux, and Windows | not stated | The MCP server can run code and use git in a sandbox | A stopped sandbox is still billed for disk | Container or VM, from the billing doc | | [Vercel Sandbox](https://vercel.com/docs/sandbox) | Included Hobby hours that stop instead of billing you | Free | 5 active CPU hours and 420 GB-hours of memory a month | not stated | not stated | Cloud. JavaScript SDK, Python SDK, and CLI | not stated | Active CPU billing skips time spent waiting on a model | Hobby sessions max out at 45 minutes | Firecracker microVM | | [Docker Sandboxes](https://docs.docker.com/ai/sandboxes/) | Free local microVMs, with pay-as-you-go cloud | Free | Local compute is free. Cloud is pay as you go | not stated | Model charges are separate from sandbox compute | Local CLI and cloud. Headless Linux is documented | not stated | Each cloud sandbox is a microVM that keeps running | Cloud sandboxes expire after one hour by default | microVM with its own kernel | | [Modal](https://modal.com/pricing) | A $0 plan with $30 of compute a month, including sandboxes | Free ($0) | $30 of compute a month. Tokens are billed from the first request | not stated | not stated. Shared Endpoint tokens are extra | Cloud. The docs describe containerized Python apps | not stated | $30 of compute included every month | Sandboxes are billed at non-preemptible rates, 3x list price | not stated | ## E2B [E2B](https://e2b.dev/) gives each agent session an isolated Linux machine. The homepage says that machine is a Firecracker microVM with its own kernel, not a shared-kernel container. You bring the model. E2B supplies the machine. The SDK is Python or JavaScript. Secrets can be injected at an egress proxy so the value never enters the sandbox. The same page says E2B Cloud is SOC 2 Type II compliant, and that E2B Embed is an Apache-2.0 package for a single Linux x86-64 machine. The [pricing page](https://e2b.dev/pricing) lists Hobby at $0 a month. It includes a one-time $100 usage credit, 20 concurrent sandboxes, 1 hour of continuous runtime, and 10 GiB of storage. No card is required. Pro is $150 a month plus usage, with 24 hour sessions and 100 concurrent sandboxes. Storage is free. A running sandbox is billed per second: $0.000014 per vCPU-second and $0.0000045 per GiB-second. The default sandbox is 2 vCPUs and 4 GiB of RAM. Paused sandboxes are not billed. There are no GPU sandboxes. The [MCP gateway doc](https://docs.e2b.dev/mcp-gateway) says a gateway inside the sandbox exposes 200+ tools from the Docker MCP catalog, or custom MCP servers, through one interface. Use Hobby when you want the credit and you can pause before the hour is up. Skip it when the job has to stay running for a day. That is Pro, at $150 a month before usage. ## Daytona [Daytona](https://www.daytona.io/pricing) sells sandboxes by the second. The pricing page lists compute at $0.0504 per vCPU-hour, memory at $0.0162 per GiB-hour, and storage at $0.000108 per GiB-hour after the first 5 GiB, which are free. It says $200 in free compute is included, and that the free trial does not need a card. Windows is a separate $0.0858 per vCPU-hour. GPU prices are listed on the same page, from $0.57 an hour. The [billing doc](https://www.daytona.io/docs/en/billing/) says a started sandbox is billed for vCPU, RAM, and disk. A stopped or paused sandbox is billed for disk only. Free credits are used before paid credits, and the free credit balance is not available for GPU sandboxes. The [limits doc](https://www.daytona.io/docs/en/limits/), read the same day, has two Tier 1 memory figures. One table says 10 GiB. A later table says 20 GiB. They disagree. Tier 1 access on the first table is a verified email. The [MCP doc](https://www.daytona.io/docs/en/mcp/) says the Daytona CLI can start an MCP server for Claude, Cursor, or Windsurf. The tools cover sandbox management, files, git, process and code execution, computer use, and preview. Use it when you want the larger credit and an MCP server your coding agent can call. Skip the GPU list if you planned to spend the free credit there. The billing doc says that credit does not apply. ## Vercel Sandbox [Vercel Sandbox](https://vercel.com/docs/sandbox) runs untrusted or agent-generated code in a Linux microVM. The docs page says each sandbox is a Firecracker microVM with its own filesystem and network. The default image includes Node.js LTS, Python 3.14, coding agents, and common utilities. You can use the JavaScript SDK, the Python SDK, or the `sandbox` CLI. The page says waiting on model inference is most of the runtime in the benchmarks it cites, and that Active CPU billing does not charge for CPU while the code waits. Memory is still billed for the whole run. Persistence is the default. The [pricing page](https://vercel.com/docs/sandbox/pricing) says Sandbox is free for Hobby inside the quotas. Hobby includes 5 active CPU hours, 420 GB-hours of provisioned memory, 5,000 creations, 20 GB of data transfer, and 15 GB of snapshot storage. Concurrent sandboxes are 10. The max session is 45 minutes. Those CPU and memory rates in the table are for the `iad1` region. Pro usage is charged against a $20 a month credit, then at $0.128 per active CPU hour and $0.0212 per GB-hour of memory. Hobby will not charge you for going over. Two sentences on that page describe the pause differently. One says creation pauses until the next billing cycle. The other says it pauses until 30 days after you first used the feature. The docs page mentions a guide that uses Sandbox with MCP. It does not document an MCP server for creating sandboxes. A license is not stated. Use Hobby when you want a ceiling: the sandbox stops, and the card is not charged. Skip it when a session has to run longer than 45 minutes. That limit is Pro. ## Docker Sandboxes [Docker Sandboxes](https://docs.docker.com/ai/sandboxes/) runs agents in isolated environments on your machine or on Docker-managed cloud. The docs say to sign in. The [FAQ](https://docs.docker.com/ai/sandboxes/faq/) says local sandboxes do not import your complete user-level agent configuration, and that headless Linux stores secrets in a file when no keychain is running. Local and cloud: - Local: the `sbx` CLI and local sandbox compute are free, including commercial use. - Cloud: pay as you go. Model-provider charges are separate. - Organization controls for network, filesystem, and MCP policies are a separate paid subscription. That is a policy feature, not a documented MCP server for the sandbox. An [October 29, 2026 post](https://www.docker.com/blog/coding-agent-horror-stories-the-cve-that-did-not-exist/) says Docker Sandboxes run agents inside isolated microVMs, each with its own kernel, its own filesystem, and a network that denies everything by default. The same post says sandboxes block all outgoing traffic by default, and that this assumes the runner's default policy is deny-all. On a balanced or open default, it says to set the default to deny-all first. The cloud rates below come from [Docker's sandbox pricing page](https://www.docker.com/products/docker-sandboxes/). Sandboxes bill by the second. Micro is 1 vCPU and 2 GB at $0.07 an hour. Small is 2 vCPU and 4 GB at $0.14. Medium is 4 vCPU and 8 GB at $0.28. Large is 8 vCPU and 16 GB at $0.56. XL is 16 vCPU and 32 GB at $1.12. The same page says sandboxes expire after one hour by default, and that you can set your own timeout. Use the local CLI when the code can stay on your machine and you want local sandbox compute at $0. Cloud is the pay-as-you-go path on that pricing page. ## Modal [Modal](https://modal.com/pricing) bills compute by the second. Starter is $0 a month plus compute, with $30 of included compute a month, up to 3 seats, and 100 containers. Team is $250 a month plus compute, with $100 included. The pricing page says sandboxes are billed at non-preemptible rates, 3 times list price. The sandbox CPU rate on that page is $0.00003942 per physical core per second, and a physical core is 2 vCPUs. Sandbox memory is $0.00000667 per GiB per second. The minimum is 0.125 cores. Included compute covers Functions and Sandboxes. It does not cover Shared Endpoints. Those tokens are billed from the first request, which the FAQ says took effect September 1, 2026. The plan table says SOC 2 compliance is included on Starter. Volumes include 1 TiB a month. The pricing page does not describe an MCP server. It does not name the isolation technology. It says applications are containerized with Python. Use Starter when $30 a month of compute is the budget and you have read the 3x sandbox line. Skip it when you thought the cheaper function CPU rate was the sandbox rate. The FAQ says those are different. ## How to choose Pick E2B when the job is an agent session on a Linux microVM, the credit should not need a card, and MCP tools should run inside the sandbox. Pause it. Hobby's continuous run is 1 hour. Pick Daytona when $200 is the credit you want and your agent already speaks MCP. Claude, Cursor, and Windsurf are the three the doc names. Watch disk charges after you stop a sandbox. Pick Vercel Sandbox when the important part is that Hobby cannot bill you past the quota. Five active CPU hours is the included CPU. Forty-five minutes is the session cap. The two pause sentences disagree, so read both before you plan a month of resets. Pick Docker Sandboxes when the code can run in a local microVM for free. Cloud compute is pay as you go. The [pricing page](https://www.docker.com/products/docker-sandboxes/) lists the hourly sizes and says billing is by the second. Pick Modal when you want a monthly $30 credit that refills, and you are fine paying the non-preemptible sandbox rate after that. Read the Shared Endpoints line before you call a model through Modal. Those tokens are not part of the $30. A sandbox is not a substitute for a command allowlist. The commands I still would not hand an agent are in [The Commands I Never Let an AI Agent Run](https://www.dharmikjagodana.com/blogs/ai-agent-commands-never-run-openclaw-sandbox.md). A platform that runs the agent, rather than only the machine, is a different list, dated November 29, 2026. It does not change these five rows. ## Which AI agent sandboxes fit a solo builder? Match the sandbox to the bill you can see before you sign up. A credit with a card is a different offer from a credit with no card. A quota that pauses is a different offer from a rate that keeps charging. ## FAQ ### What can I start without a credit card? E2B Hobby and Daytona's free trial. E2B's pricing page says no card is required for Hobby, and the credit is $100 once. Daytona's pricing page says the free trial does not need a card, and it includes $200 of compute. Vercel Hobby does not charge you for sandbox usage inside the quotas. Local Docker sandbox compute is free. The FAQ does not say a card is required for that. Cloud Docker compute is a pay-as-you-go subscription. ### Which of these document MCP? E2B and Daytona. E2B's gateway doc describes 200+ MCP tools from the Docker catalog, running inside the sandbox. Daytona's CLI doc describes an MCP server for Claude, Cursor, and Windsurf. Vercel Sandbox, Docker Sandboxes, and Modal do not document an MCP server for the sandbox on the pages opened here. Docker's paid organization plan can set MCP policies. That is a policy control. ### Is Docker Sandboxes free? The docs say the `sbx` CLI and local sandbox compute are free, including commercial use. Cloud compute is pay as you go. [Docker's sandbox pricing page](https://www.docker.com/products/docker-sandboxes/) lists Micro at $0.07 an hour, Small at $0.14, Medium at $0.28, Large at $0.56, and XL at $1.12. Model-provider charges are separate. ### Will Vercel charge my card if a Hobby sandbox goes over the quota? The pricing page says no. Hobby is not charged for additional sandbox usage. Creation pauses. The same page gives two clocks for that pause: the next billing cycle, and 30 days after you first used the feature. Pro is the plan that bills, against a $20 a month credit and then at the published rates. ### Do these sandboxes include the model? No. E2B says you bring your own model. Docker says model-provider charges are separate from sandbox compute. Modal's $30 covers compute for Functions and Sandboxes, and the FAQ says Shared Endpoint tokens are billed from the first request. Daytona and Vercel Sandbox do not include a model allowance on the pages opened here. Find me on [X](https://x.com/dharmikjagodana). New posts show up on X. 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