What's New in Aible
Welcome to the age of agentic AI for business users at scale. This release further drives acceleration to value and strengthens guardrails for Enterprise AI and agents, paving the way for business user led innovation.

Introducing AibleClaw

Enterprise-Grade Long-Running Agents with Consistency, Control, and Cost-Containment — Built for Business Users

OpenClaw is extraordinarily powerful, but on its own it's a lab solution: inconsistent results, hard for business users to operate, and difficult for IT to govern. AibleClaw closes that gap. Built on the NVIDIA OpenShell runtime for secure execution, AibleClaw is an enterprise solution for long-running agents with built-in governance and guardrails that brings consistency, control, and cost-containment to the creativity and capability of claws. You get an enterprise-grade OpenClaw, designed from the ground up for business users, through a familiar chat interface where you can see every detail of the agent's work or simply get the final results.

Screenshot 2026-07-09 at 10.43.57 AM

Plan, Secure, Template, and Scale a Long-Running Agent — All From One Interface

With AibleClaw, you can innovate at a humanly impossible scale. Any business user simply describes the job to be done in plain language. For example, "Every 30 minutes, find new restock orders, predict whether each should be expedited, and post a summary of any that need expediting to Slack." From there, AibleClaw uses local language models to plan and execute the complex steps:

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searching, pulling data, running predictions, researching, and posting the results, while you watch each step happen or just wait for the final output. NVIDIA OpenShell secures the claw by default and flags any runtime request outside your whitelist, so nothing runs that you haven't approved. Once a claw works, save the steps as a reusable agent template or set it to run on a schedule; so the same process runs consistently every time and across employees. And before you scale, you can observe each claw's tokenomics through built-in usage stats, so you know exactly what it costs to run. All of it happens in a familiar interface designed for business users, not a command line.

Plan, Secure, Template, and Scale a Long-Running Agent — All From One Interface

Screenshot 2026-07-09 at 10.43.57 AM

With AibleClaw, you can innovate at a humanly impossible scale. Any business user simply describes the job to be done in plain language. For example, "Every 30 minutes, find new restock orders, predict whether each should be expedited, and post a summary of any that need expediting to Slack." From there, AibleClaw uses local language models to plan and execute the complex steps:

Read More
searching, pulling data, running predictions, researching, and posting the results, while you watch each step happen or just wait for the final output. NVIDIA OpenShell secures the claw by default and flags any runtime request outside your whitelist, so nothing runs that you haven't approved. Once a claw works, save the steps as a reusable agent template or set it to run on a schedule; so the same process runs consistently every time and across employees. And before you scale, you can observe each claw's tokenomics through built-in usage stats, so you know exactly what it costs to run. All of it happens in a familiar interface designed for business users, not a command line.

Save Successful Claws as Templates and Stop Paying for Planning and Backtracking

Autonomous agents are powerful, but wasteful. OpenClaw can consume lots of tokens as it executes expensive planning steps and pursues extensive trial and error, going down the wrong path and backtracking before finally achieving success. AibleClaw fixes this by letting you save the actions of a successful OpenClaw run as a template.

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Templates based on successful OpenClaw executions reduce costs because each templated agent does not have to execute the expensive planning steps and failure states. Moreover, AibleClaw caches responses across your templated claws to minimize duplicated effort. Aible comes with 100+ templates, and business users can easily create new templated claws for unique use cases in minutes; so every run is not only cheaper, but also consistent over time and across employees. And because AibleClaw is licensed per server per year, with models that can run locally at no per-token cost, there are no surprise bills. You know your cost up front.

Save Successful Claws as Templates and Stop Paying for Planning and Backtracking

Autonomous agents are powerful, but wasteful. OpenClaw can consume lots of tokens as it executes expensive planning steps and pursues extensive trial and error, going down the wrong path and backtracking before finally achieving success. AibleClaw fixes this by letting you save the actions of a successful OpenClaw run as a template.

Read More
Templates based on successful OpenClaw executions reduce costs because each templated agent does not have to execute the expensive planning steps and failure states. Moreover, AibleClaw caches responses across your templated claws to minimize duplicated effort. Aible comes with 100+ templates, and business users can easily create new templated claws for unique use cases in minutes; so every run is not only cheaper, but also consistent over time and across employees. And because AibleClaw is licensed per server per year, with models that can run locally at no per-token cost, there are no surprise bills. You know your cost up front.

Long-Running Agents Business Users Can Run and Enterprise IT Can Trust

Raw OpenClaw means a command-line interface and manual setup, custom code generated on the fly, and no awareness of enterprise security or strategy — which leaves business users locked out and IT unable to trust it in production. AibleClaw is built for both. Business users get a familiar chat interface that's secure by default with automated setup, can set up and run their own long-running agents, and can shape results through simple feedback — no technical skills required. Every run is consistent across users, since saved templates run the same way every time instead of each run being different, and analysis is fully AI-first and accurate — exploring millions of patterns to detect key insights with a deterministic double-check, rather than depending on the user asking the right question. IT gets what it needs to say yes: governed tools with enterprise auditability, secure-by-default sandboxing, cost efficiency from reused plans and automated caching, and out-of-the-box integration with the enterprise stack — Red Hat OpenShift and Kubernetes, SSO/OAuth, and observability through OTEL, Splunk, and more, fully air-gapped if needed. Where OpenClaw leaves these business-user and enterprise-IT needs unmet, AibleClaw (extending NVIDIA NemoClaw) checks every box across both.

Business User Needs OpenClaw
AibleClaw
extending NemoClaw
Users can chat with and configure long-running agents
Business users can set up and use
Consistent Execution & Results (Enterprise Trust)
Driven by Impact of Claws on Business KPIs & Strategies
Designed for agent-first analysis of structured data
Deterministic Hallucination Double-check
Business-user-led Post-training
Enterprise IT Needs
Long-running agents, create and coordinate sub agents, tools / skills
Can run without Internet connection (completely air-gapped)
Secure environment for Claws
Cost Efficiency from reuse of plans and automated caching
Observability including OTEL, Splunk,…
SSO / OAuth
Kubernetes, RedHat OpenShift…