Vessel's answer

• GCP Compute Engine (dedicated VMs per agent)
• Cloudflare Tunnels (encrypted inbound, no public IP)
• OpenClaw (open-source AI agent runtime, MIT license)
• Next.js 14 App Router (dashboard, GCP Cloud Run)
• Express.js (API layer, GCP Cloud Run)
• Supabase Postgres (database and auth)
• GCP Cloud Build (CI/CD)

Emisar.dev's answer:

The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.

Vessel's answer

Vessel is managed hosting for OpenClaw built around privacy and security first. Most OpenClaw hosting providers share containers or expose default ports. Vessel gives every agent its own dedicated GCP VM: its own kernel, its own disk, no shared memory with other tenants. No public IP. No exposed port 18789. All inbound traffic routes through an encrypted Cloudflare Tunnel. 300,000+ self-hosted OpenClaw instances are currently exposed on the public internet. Vessel makes secure, isolated deployment the default.

Emisar.dev's answer:

emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [

Vessel's answer

Most OpenClaw hosting alternatives use shared containers or expose the default port 18789 publicly. When your agent handles client data, credentials, and sensitive correspondence, shared infrastructure introduces risks that are hard to audit and harder to explain to clients. Vessel provides kernel-level isolation per agent, Cloudflare Tunnel inbound (zero port exposure), and full lifecycle management from a web dashboard: no server configuration required.

Emisar.dev's answer:

Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.

Vessel's answer

Founders, marketers, lawyers, accountants, and professionals who run OpenClaw AI agents for serious work: client research, financial data, sensitive correspondence, automated workflows that touch real accounts. They need their agent to be always-on and private, but they are not infrastructure engineers and do not want to become one. Vessel is for people who want to use OpenClaw and need a trustworthy place to run it.

Emisar.dev's answer:

emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.

Vessel's answer

When OpenClaw launched in late 2025, it introduced something genuinely new: a persistent AI agent runtime that connects to the platforms professionals actually use and runs around the clock. What it lacked was production-grade infrastructure. The default setup exposes port 18789 publicly and leaves users to sort out tunnels, secrets, and isolation themselves. 300,000+ instances ended up exposed on the internet as a result.

I built Vessel to fill that gap. If your agent is going to handle real work, it deserves real infrastructure: dedicated VM, encrypted tunnel, locked-down defaults, lifecycle tooling. Without requiring you to be a cloud engineer.

Emisar.dev's answer:

Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.

Emisar.dev's answer:

• Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.