ACAirClaw

Customized product on OpenClaw & Hermes

OpenClaw and Hermes, customized for how you work.

AirClaw takes the channel reach of OpenClaw and the learning loop of Hermes, then shapes them into a tailored product for your workflows, team, and local runtime.

airclaw status

OpenClaw base

Channels enabled

12

Hermes base

Learning profiles

5

AirClaw custom

Workflow presets active

18

AirClaw is a customized product layer on top of OpenClaw and Hermes — not a separate framework, but a purpose-built experience assembled from both.

Customization value

A product experience shaped around your agent stack

AirClaw does not ask you to choose between frameworks. It customizes OpenClaw and Hermes into one deployable product for your team.

Tailored OpenClaw channels

Customize which messaging platforms, gateways, and channel flows your assistant uses out of the box.

Custom Hermes learning profiles

Shape memory, skill generation, and execution loops around the tasks your team repeats every day.

Workflow presets

Package common automations — triage, research, reporting, handoffs — as ready-to-run product flows.

Branded assistant experience

Apply your persona, tone, policies, and UI surface so the agent feels like your product, not a generic stack.

Local runtime packaging

Bundle local models, provider choices, and environment boundaries into a deployment profile that fits your hardware.

Observable customization

See which OpenClaw and Hermes capabilities are active, what was changed, and how each customized run behaves.

Built on

Built on OpenClaw and Hermes

AirClaw inherits proven agent foundations, then customizes them into one product experience for your users.

OpenClaw

Channel foundation
  • Multi-channel assistant reach
  • Gateway and workspace orchestration
  • Community skill ecosystem (ClawHub)
  • Polished personal assistant UX

AirClaw uses OpenClaw as the channel and assistant foundation.

Hermes

Execution foundation
  • Self-improving learning loop (Curator)
  • Agent-generated skills from experience
  • Python-first execution stack
  • Migration tooling from OpenClaw

AirClaw uses Hermes as the learning and long-running execution foundation.

AirClaw

Customized product layer
  • Preconfigured workflows for your team
  • Branded persona, policy, and UI packaging
  • Curated OpenClaw + Hermes capability mix
  • Local-first deployment profiles

AirClaw turns both frameworks into a single customized product.

Workflow

How customization ships as a product

  1. 01

    Start from proven foundations

    Begin with OpenClaw for channels and Hermes for execution instead of rebuilding an agent stack from scratch.

  2. 02

    Customize the product surface

    Define persona, workflows, provider mix, permissions, and the assistant experience your users should receive.

  3. 03

    Deploy on your runtime

    Package the customized product for local hardware, self-hosted environments, or your preferred model providers.

  4. 04

    Iterate with real usage

    Refine channels, skills, memory, and automation presets as your team learns what the customized agent should do best.

Use cases

Customized product scenarios

Team assistant product

Ship a branded internal assistant that combines OpenClaw reach with Hermes execution for your organization.

Vertical workflow automation

Customize repeatable industry flows — support, research, ops, reporting — without exposing raw framework complexity.

Local-first agent offering

Deliver an agent product that runs closer to customer hardware while still leveraging OpenClaw and Hermes underneath.

Managed migration path

Move from a stock OpenClaw or Hermes setup into a curated AirClaw product profile with clearer boundaries.

Security & privacy

Operate customized products with explicit trust boundaries

Customized products need explicit trust boundaries. AirClaw bakes permissions, deployment choices, and migration controls into the product profile instead of leaving them as framework afterthoughts.

Local execution first

Customize deployments to prefer on-device or self-hosted runtimes before routing sensitive work to remote APIs.

Explicit authorization

Bake tool access, channel tokens, and provider permissions into the product profile instead of leaving them implicit.

No secret migration by default

Customization and migration flows should preview changes and require explicit opt-in before moving credentials.

Auditable customization

Track which base capabilities were enabled, what was changed, and how each customized agent run behaved.

Contact

Shape AirClaw around your use case

Tell us about your team, existing OpenClaw or Hermes setup, and the workflows you want to customize. We will follow up by email with a practical path forward.

FAQ

Common questions about AirClaw

What is AirClaw?

AirClaw is a customized AI agent product built on OpenClaw and Hermes. It packages channel reach, learning loops, workflows, and deployment choices into one tailored experience for your users.

Is AirClaw a replacement for OpenClaw or Hermes?

No. AirClaw depends on both. OpenClaw provides the channel and assistant foundation. Hermes provides the learning and execution foundation. AirClaw is the customized product layer assembled from them.

What does AirClaw customize?

Typical customizations include workflow presets, branded persona and policy, curated capability mixes, local runtime packaging, and a product surface that hides framework complexity from end users.

Can AirClaw work with existing OpenClaw or Hermes setups?

Yes. AirClaw is designed to build on existing OpenClaw gateways, Hermes workspaces, and migration tooling such as `hermes claw migrate`, then shape them into a product profile.

Do I need a GPU or paid API keys?

That depends on your customized deployment profile. AirClaw can be configured for lighter local runtimes or connected providers, but it does not promise zero-cost or zero-setup operation.