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ClawHost
Molted is a managed operating environment for long-running autonomous AI agents. It helps teams deploy, host and scale OpenClaw fleets in production without building the infrastructure layer themselves.
Molted keeps agents alive with 4-tier self-healing, crash detection under 60s, automatic recovery under 90s, daemon supervision, config repair, versioned filesystem restore points and safe high-density hosting.
Agents get 1,000+ app integrations through a managed MCP layer, browser automation, persistent logged-in profiles, dedicated email and voice per agent, and APIs to create, monitor and manage instances at scale.
Molted supports managed cloud, on-premise and sovereign deployment options for agencies, SaaS builders, OpenClaw wrappers, AI-native companies and teams running autonomous agents in production.
Api documentation: https://www.molted.net/api/docs
Molted
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Molted's answer
Molted is not a hosting provider, it is a complete operating environment for autonomous AI agents.
What makes it unique:
Your agents can actually do the job from day one. Connect them to Gmail, Slack, HubSpot, Salesforce, Notion and 1,000+ apps instantly through a managed integration layer. No connectors to build, no months of OAuth work.
Agents that use the web like a human. Most of the web has no API, but it all has a browser. Molted agents log into dashboards, portals and checkouts, captchas solved and sessions kept alive, so they reach the 90% of tools that have no integration.
Each agent gets its own mailbox and phone number. They send and receive email, place and take calls, handle SMS and 2FA. Real presence, not a chatbot in a box.
You ship agents, not infrastructure. Compute, monitoring, recovery and versioning are fully managed and run 24/7, so a crash heals itself before your customer ever notices. You sell the product, we run the ops.
The result: you launch client-ready autonomous agents in minutes instead of building a cloud company first, and you keep the margin instead of burning it on DevOps and idle hardware.
Molted's answer
Everyone else sells you a VM and stops caring the second it boots. What runs inside is your problem.
Molted is the opposite: we built this specifically for AI agents, and our own agents run on it every day. We feel every crash, every slow start, every broken integration before you do, because it is our infrastructure too.
So you do not get a generic empty machine and a โgood luck.โ You get an environment that keeps your agents alive, connected to 1,000+ apps, and working day one. They host servers. We run agents.
Molted's answer
Molted.net grew out of molted.cloud, a basic SaaS for hosting OpenClaw instances: simple auth, no multi-tenancy, no auto-healing, minimal monitoring, limited capacity. Running agents for real clients made one thing obvious. Running ONE OpenClaw in production already gives you cold sweats, and running thousands on shared nodes 24/7 is a full-time on-call job.
Molted is the answer to that problem: turning raw hosting into a real managed operating environment, with automatic recovery, versioned workspaces, browser automation, email and voice per agent, and 1,000+ integrations. The conviction behind it is simple: AI companies should ship agents, not become infrastructure companies by accident. So we built the layer we needed ourselves, and today our own agents run on it every day, alongside thousands of instances in production.
Molted's answer
AI companies shipping autonomous agents in production that do not want to become an infrastructure company. Concretely, the 8 targeted profiles are:
What they have in common: their bottleneck is not Kubernetes, it is convincing their market. They want to ship agents and keep the margin, instead of burning it on DevOps hiring, idle hardware and months of integration work.
There is also a strong secondary audience: the public sector and government, with needs around data sovereignty, air-gapped deployment, per-agency isolation and full audit trails.
Based on our record, Temporal seems to be more popular. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal โ Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / 13 days ago
We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of โ a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines โ an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate โ plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / about 1 month ago
The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 3 months ago
A typical production stack for teams using Claude or Gemini as the reasoning layer includes an LLM provider API, an orchestration layer (n8n, Temporal, or a custom Python service), application infrastructure (a server running the orchestration code), and a data layer (a database for storing results). Each boundary introduces a failure point. When the LLM provider changes its rate limits, as OpenAI did repeatedly... - Source: dev.to / 3 months ago
The core is a browserclaw agent loop wrapped in a Temporal workflow. The AI navigates to your provider's payment page, identifies form fields from the snapshot, fills in your payment details, and submits. Every successful payment generates a "biller skill" โ a playbook that makes subsequent payments to the same provider faster and more reliable. - Source: dev.to / 4 months ago
e2b - Open-Source AI Powered IDE That Does The Work For You
Trigger.dev - Trigger workflows from APIs, on a schedule, or on demand. API calls are easy with authentication handled for you. Add durable delays that survive server restarts.
ClawHost - One-click cloud hosting for OpenClaw AI agents.
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.