# AgentSphere vs boat AgentSphere records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. boat records 66,870 monthly visits with +520.8% growth and Free Trial, Paid pricing. | Metric | [AgentSphere](https://openaitools.app/tool/agentsphere) | [boat](https://openaitools.app/tool/boat) | | :--- | :--- | :--- | | Website URL | https://www.agentsphere.run | https://boat.dev | | Categories | AI Agent, AI Developer Tools, AI Workflow, Large Language Models (LLMs) | AI Agent, AI Developer Tools, AI Workflow, AI API | | Pricing Model | Contact for Pricing | Free Trial, Paid | | Monthly Visits | 0 | 66,870 | | MoM Growth Rate | 0% | +520.8% | | Primary Market | Global | United States | | Direct Visits | 0 | 37,777 | | Review Score | 4.3 | 4.6 | | Saved Count | 1 | 0 | | Supported Platforms | Website | Website | ## AgentSphere AgentSphere is an AI-native cloud infrastructure service whose purpose is to run untrusted, machine-generated code safely. Rather than letting an agent touch a production system directly, you hand it an isolated cloud sandbox where it can execute Python or TypeScript, read and write files, and stream results back in real time. The platform advertises sub-second cold starts, in-region deployment, and isolation backed by lightweight virtual machines such as Firecracker, with SOC2 and GDPR compliance positioned as built-in rather than bolted on. What differentiates AgentSphere is its MCP-first design. Rather than requiring a custom SDK for every use case, it exposes cloud sandboxes to MCP-capable clients, so an assistant or agent framework can request execution as just another tool. It also supports stateful workflows: sandboxes can persist storage, snapshot their state and be reactivated by events, which matters for long-running or multi-stage agent tasks. Typical scenarios include agent-driven DevOps and GitOps automation, large-scale model evaluation and fine-tuning experiments, secure data analysis, and rendering AI-generated dashboards or visuals inside an isolated environment. AgentSphere targets developers and platform teams building AI products as well as enterprises that need governance. It is model- and language-agnostic, so it does not lock you to a single LLM provider or runtime, and it offers private deployment in your own AWS, GCP or on-prem environment with network isolation. Because it is developer infrastructure rather than a consumer app, adoption usually starts with a free trial and scales into usage-based or enterprise plans; the vendor does not publish fixed public price points, so commercial terms are typically discussed directly. **Pricing & Plans:** No fixed public tiers. AgentSphere offers a free trial and positions itself around flexible, usage-based and enterprise plans (bursting compute, private deployment, SLAs); pricing is available on request. - **MCP-integrated cloud sandboxes:** Connect MCP-capable clients and agents directly to isolated cloud sandboxes to execute AI-generated code and handle files securely. - **Fast, isolated execution:** Cold-start latency advertised as low as roughly 100ms, with sandboxes deployed in-region and isolation backed by lightweight VMs such as Firecracker. - **Stateful agents and multi-stage tasks:** Support for long-running workflows with storage persistence, snapshot recovery, streaming output and event-triggered reactivation. - **Security and compliance posture:** SOC2 and GDPR compliance, access control, output tracing and full audit logging designed for running untrusted AI code in regulated environments. - **Private deployment options:** Deploy inside your own AWS, GCP or on-prem infrastructure with VPC peering, identity controls and network isolation. **Strengths:** Purpose-built for agentic workloads rather than retrofitted from a generic VM or container service; MCP-first integration lowers the effort to wire execution into existing AI assistants and frameworks; Strong isolation and compliance story (Firecracker-based VMs, SOC2/GDPR claims) suits regulated industries; Model- and language-agnostic, with private deployment in your own cloud and support for stateful, long-running tasks **Limitations:** No transparent public pricing, which makes budgeting harder before a sales conversation; Feature set and claims lean enterprise-heavy, so simpler hobby projects may find it more than they need; Complex setup compared with a local code interpreter for very lightweight experimentation [Profile (Markdown)](https://openaitools.app/tool/agentsphere.md) ## boat boat targets teams running many agents at once, which it calls "agent factories". Instead of containers that reset on every session, boat hands out full Linux virtual machines with a persistent disk, so installed packages, cloned repos, and saved files survive between runs. Pre-configured images ship with Docker, VS Code, Chrome, the GitHub CLI, Rust, Node.js, and Bun, and you can bring any harness such as Claude Code, Codex, or OpenCode. The standout capability is disk-level forking. You can snapshot a configured sandbox and clone it in seconds to run dozens or hundreds of parallel agents from an identical starting state. Sandboxes can be paused and resumed, with disk snapshots taken every minute and again at each stop, so billing only accrues while the VM runs. This makes it practical to fan out test, build, and research workloads without paying for idle time. Billing is metered by the second against a monthly minimum, and the service advertises one of the lowest list prices for comparable VM hours, with sizes ranging from 2 vCPU to 16 vCPU. Sandboxes run in Germany, Finland, and France; there is no US or Asia region and no GPU option, so graphical work runs on the CPU. It is a strong fit for developers who want a real machine rather than a constrained execution sandbox. **Pricing & Plans:** Per-second billing with a $20/month minimum. The default 4 vCPU / 8 GB sandbox lists at $0.036/h, with smaller (2 vCPU / 4 GB) and larger (8 vCPU / 16 GB, 16 vCPU / 32 GB) sizes available. A 7-day free trial with a card provides 25 compute hours, and stopped sandboxes incur no compute charge while the disk is retained for at least 14 days. - **Persistent full Linux VMs:** Each sandbox is a complete Ubuntu machine with systemd, Docker, databases, and cron, so anything that runs on Linux runs here. - **Fast snapshot forking:** Clone a configured sandbox from a disk snapshot in seconds to launch large fleets of identical parallel agents. - **SSH, SCP, and virtual desktop:** Connect over SSH and SCP or open a 60fps virtual desktop and browser to inspect web apps, IDEs, and 3D scenes. - **API, CLI, and SDKs:** Drive everything programmatically through the boat CLI (with --json output), an HTTP API, or Python and TypeScript SDKs. - **Per-second metered billing:** Pay only while sandboxes run, with no compute charge when stopped and disks kept for at least 14 days. **Strengths:** Full Ubuntu VMs rather than restricted containers, with Docker and systemd included; Very fast disk-level forking makes large parallel agent runs affordable; Transparent per-second pricing with no compute charge while stopped **Limitations:** No GPU option and no US or Asia data regions; A $20 monthly minimum applies, which is wasteful for light or occasional use [Profile (Markdown)](https://openaitools.app/tool/boat.md) ## Frequently Asked Questions ### How do AgentSphere and boat compare in monthly traffic? AgentSphere has 0 monthly visits, while boat has 66,870. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? AgentSphere has a month-over-month growth rate of 0%; boat has +520.8%. ### How does pricing compare? AgentSphere: Contact for Pricing. No fixed public tiers. AgentSphere offers a free trial and positions itself around flexible, usage-based and enterprise plans (bursting compute, private deployment, SLAs); pricing is available on request. boat: Free Trial, Paid. Per-second billing with a $20/month minimum. The default 4 vCPU / 8 GB sandbox lists at $0.036/h, with smaller (2 vCPU / 4 GB) and larger (8 vCPU / 16 GB, 16 vCPU / 32 GB) sizes available. A 7-day free trial with a card provides 25 compute hours, and stopped sandboxes incur no compute charge while the disk is retained for at least 14 days. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) | | 2 | [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | +41.1% | Freemium, Paid, Contact for Pricing | Browser agents and stealth cloud browsers for real web tasks | [.md](https://openaitools.app/tool/browser-use.md) | | 3 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) | | 4 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) | | 5 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) | | 6 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) | | 7 | [Coder](https://openaitools.app/tool/coder) | 149,417 | -12.8% | Free Trial, Contact for Pricing, Free | Self-hosted cloud development environments and AI coding agents for enterprise teams | [.md](https://openaitools.app/tool/coder.md) | | 8 | [InsForge](https://openaitools.app/tool/insforge) | 60,257 | -11.3% | Freemium, Contact for Pricing, Free | Agent-native cloud infrastructure that lets coding agents run the whole backend stack | [.md](https://openaitools.app/tool/insforge.md) | | 9 | [exe.dev](https://openaitools.app/tool/exe-dev) | 60,103 | -26.4% | Freemium, Paid | Cloud Linux VMs built for developers and their AI agents | [.md](https://openaitools.app/tool/exe-dev.md) | | 10 | [OpenShip](https://openaitools.app/tool/openship) | 23,815 | +26.8% | Freemium, Paid, Contact for Pricing | Deploy anything, own everything | [.md](https://openaitools.app/tool/openship.md) | --- Source: https://openaitools.app/compare/agentsphere-vs-boat More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)