Nvidia is preparing to enter the rapidly expanding market for artificial intelligence agents with a new open-source platform reportedly called NemoClaw.
According to a report by Wired, the chipmaker has begun pitching the project to enterprise software companies as it looks to build an ecosystem around AI agents capable of carrying out complex tasks for businesses.
Sources familiar with the discussions said Nvidia has approached major technology firms including Salesforce, Cisco, Google, Adobe, and CrowdStrike about potential partnerships.
The development also comes just days before Nvidia’s annual developer conference in San Jose next week, which is expected to include announcements about the company’s AI hardware and software plans.
Nvidia pitches enterprise AI agent platform
The NemoClaw platform is expected to allow enterprise software companies to dispatch AI agents capable of performing tasks on behalf of employees.
Sources cited in the report said the system will include security and privacy tools designed to make AI agents safer for enterprise environments.
Companies will reportedly be able to access the platform regardless of whether their products run on Nvidia chips.
Because the project is expected to be open source, potential partners could receive early access to the technology in exchange for contributing to the platform’s development.
The initiative reflects Nvidia’s growing interest in AI agents — specialized systems that can plan and execute complex tasks with minimal human supervision.
In recent months, Nvidia has released foundational models intended to power these systems, including Nemotron and Cosmos.
The company has also expanded its NeMo platform, which helps organizations manage the lifecycle of AI agents, including data preparation, customization, monitoring, and optimization.
Rise of AI “claws” drives interest
Nvidia’s push into AI agents comes amid rising interest in tools known as “claws,” open-source AI systems designed to run locally on personal computers and perform sequences of tasks.
One such tool, OpenClaw — previously known as Clawdbot and later Moltbot — attracted significant attention earlier this year for its ability to operate autonomously on personal machines and complete work tasks for users.
OpenAI eventually acquired the project and hired its creator.
While large language models have become widely used in enterprise environments, many still require significant human supervision.
Purpose-built agents or claws are designed to execute multiple steps independently, reducing the need for manual guidance.
However, the growing adoption of these systems has also raised concerns around security and reliability.
Some companies have restricted their use internally.
WIRED previously reported that firms including Meta have asked employees not to run OpenClaw on company machines due to concerns about unpredictable behavior and security risks.
In one case, a Meta employee overseeing AI safety shared a story about an AI agent going rogue and mass deleting emails from her computer.
Strategic shift toward open-source AI
The development of NemoClaw also reflects Nvidia’s broader strategy of embracing open-source AI software while maintaining its dominance in AI infrastructure.
The company’s ecosystem has historically been built around CUDA, its proprietary software platform that ties developers closely to Nvidia GPUs.
At the same time, competition in the AI hardware market is intensifying as leading technology companies develop their own custom chips.
Offering open-source tools could help Nvidia maintain influence over the software layer of the AI ecosystem even as hardware competition grows.
The company is expected to unveil additional announcements at its upcoming developer conference.
According to a recent Wall Street Journal report, Nvidia may also introduce a new inference computing system at the event.
The system is expected to incorporate a chip developed by startup Groq, which Nvidia entered into a multibillion-dollar licensing agreement with last year.
As companies increasingly shift from general-purpose AI models toward specialized autonomous agents, Nvidia appears to be positioning itself to play a central role in the next phase of enterprise AI development.
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