What is ClawShop? Private AI Agents and Framework Setup
ClawShop is DDG's deployment hub for private AI agents, vertical operator packages, and standalone OpenClaw, Hermes, NemoClaw, or IronClaw setup.
What is ClawShop?
ClawShop is Daedalus Development Group's deployment hub for private AI agents and agent frameworks. It is the place to buy a working operator layer, not a model training job.
That distinction matters. Logos fine-tunes an open-weight model on your data and ships you the weights. ClawShop installs or packages the system that lets a business use an agent every day: skills, channels, workflows, escalation rules, runbooks, and the framework around the model.
In plain English: Logos makes the model yours. ClawShop makes the model useful inside the business.
The two ClawShop lanes
ClawShop has two product lanes.
1. Vertical operator packages
The first lane is a packaged business operator. E-commerce ships first because the workflow is concrete: order lookup, returns, product recommendations, abandoned-cart recovery, inventory alerts, daily digests, and escalation routing.
The customer brings a Shopify, WooCommerce, or Magento-style operation. DDG ships the agent bundle, configures the channels, and validates the workflow against the real catalog and policies. Later verticals include real estate, local services and trades, content/marketing agencies, software/devops teams, property management, hospitality, research, security, and regulated inquiry paths through Erkos.
This is the path for buyers who do not want to learn the underlying framework. They want the outcome: fewer repetitive messages, faster follow-up, cleaner escalations, and a system that runs where they control it.
2. Framework setup only
The second lane is standalone framework setup. This is for buyers who already have a model, already know the workflow, or do not need a new fine-tune.
Supported setup paths include:
- OpenClaw for open agent and fine-tuning workflows
- Hermes for assistant alignment, function-calling, and operator behavior
- NemoClaw for NVIDIA NeMo / Megatron-class environments
- IronClaw for hardened sensitive-data workflows
- Custom/BYO for teams with an existing agent stack
If you only need the agent framework installed, do not start a Logos order. Use ClawShop framework setup.
How ClawShop relates to ClawHub and free skills
Some searchers use "ClawHub" to mean a skill registry or marketplace for OpenClaw/Hermes-style agents. DDG should not turn that into a separate product name unless the brand decision changes. For now, ClawShop remains the product, while ClawHub language can point technical users toward the broader skill ecosystem.
That funnel is useful when it is honest:
- Technical users can inspect free skills in the Hermes Skills Hub.
- Buyers who want the system installed, connected to their tools, and supported should use ClawShop.
- Regulated or air-gapped buyers should ask about Erkos instead of treating a free skill as a compliance solution.
Free skills drive trust and developer discovery. ClawShop sells the outcome.
Why not just use a hosted chatbot?
Hosted AI support tools are useful, but they usually sell recurring access to someone else's system. That can be the right answer for a helpdesk team that wants low-friction setup and does not care where the agent runs.
ClawShop is for a different buyer: someone who wants the operating layer deployed around their own business, with local or private deployment as a first-class path.
The important difference is not "local AI" as a slogan. The important difference is control:
- You choose where the agent runs.
- You decide which systems it can access.
- Your workflow is packaged as an asset, not just a prompt in a SaaS account.
- Framework setup can pair with Logos-trained weights or with a model you already have.
How ClawShop connects to Logos
Use Logos when the model itself needs to learn something durable: brand voice, domain language, policy behavior, classification patterns, support tone, or tool-call behavior from your examples.
Use ClawShop when the model needs to do work: answer order questions, triage intake, route escalations, draft follow-ups, watch inventory, run scheduled summaries, or connect to business systems.
Many serious deployments use both. Logos tunes the model. ClawShop deploys the operator layer around it.
How ClawShop connects to Erkos
For regulated, air-gapped, HIPAA, SOC 2, PCI, ITAR, or sovereign-data environments, ClawShop may not be enough by itself. That is where Erkos comes in: DDG's secure on-prem fine-tuning and deployment path.
The simple split:
- Logos: non-regulated fine-tuning where you keep the weights
- ClawShop: private agent/framework deployment for business workflows
- Erkos: controlled on-prem work for data that cannot leave the environment
Who should care?
ClawShop is for operators who can name the workflow they want improved:
- An e-commerce owner wants fewer "where is my order?" messages.
- A local service business wants quote intake and follow-up triaged consistently.
- A real estate team wants showing notes, buyer criteria, and follow-up handled without exposing client context to a generic chatbot.
- A content agency wants repeatable research-to-draft workflows across clients.
- A technical team wants Hermes or OpenClaw installed without spending a week wiring the basics.
If the buyer cannot name the workflow, ClawShop is too early. If the workflow is obvious and repetitive, ClawShop is exactly the shape of the problem.
Next steps
More from ClawShop
ClawShop vs AI Helpdesks: Private Deployment vs SaaS Support
Hosted AI helpdesks sell recurring access to an AI support layer. ClawShop sells private deployment of the operator layer itself: vertical packages, framework setup, channels, runbooks, and deployment control. The right choice depends on whether the buyer wants a managed SaaS inbox or a private system around their workflow.
Hermes Agent Framework Setup: OpenClaw, NemoClaw, IronClaw
ClawShop framework setup is the path for teams that already have a model or workflow and need OpenClaw, Hermes, NemoClaw, IronClaw, or a custom agent stack deployed. Logos is optional: use it when you need new model behavior, not when you only need the framework installed.