Molted
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Amazon AWS
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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
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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, Replicate.com seems to be more popular. It has been mentiond 8 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.
You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / about 1 month ago
Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / about 2 months ago
Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 7 months ago
Before diving into how vision prompting works, letโs first look at where we can put it to the test. In this case, weโll be using several endpoints available on Replicate, which weโve optimized with Pruna to make them cheaper, faster, and more efficient. All of Prunaโs models are available here. - Source: dev.to / 8 months ago
Take Perplexity they didnโt just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 8 months ago
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