Hermes Agent has achieved a remarkable milestone, crossing 140,000 GitHub stars in under 90 days. This impressive growth has left many in the industry stunned, as it signifies a substantial shift in the agentic AI market.

OpenClaw, an open framework that enables models to be wired into real work, had previously held the top spot. It became the fastest-growing open-source project in GitHub history, reaching over 250,000 stars in its first 60 days. However, Hermes Agent's rapid ascent has now overtaken OpenClaw, with its core idea of continuity driving this change. It's clear that Hermes Agent's approach has resonated with developers.

The concept of continuity is central to Hermes Agent's design. It holds context across sessions, learns from prior work, and converts repeated actions into reusable capabilities. This approach has resonated with developers, leading to its swift adoption. In contrast, OpenClaw focused on execution, acting as the connective tissue between systems, tools, and workflows. They're two different approaches, and it's clear which one is gaining traction.

The demand for automated workflows has been increasing, with Salesforce reporting tens of thousands of enterprise deals tied to such workflows. This growing demand has contributed to the rise of agentic AI, with Hermes Agent at the forefront. Its ability to build continuity and accumulate knowledge has made it an attractive choice for enterprises seeking to improve their workflow efficiency. They won't find a better option, as Hermes Agent's capabilities are unmatched.

As the agentic AI market continues to evolve, it's essential to understand the implications of this shift. The fact that Hermes Agent has achieved dominance in under 90 days indicates that the industry is moving at a rapid pace. This change has significant consequences for enterprise planning cycles, which typically assume a 12 to 24 month window for meaningful change. It's no longer possible to plan that far ahead, as the market is changing too quickly.

In reality, the market has already moved past this timeline, and leaders must adapt to this new pace. The notion that what you evaluate today will be outdated in 90 days is a stark reality. This means that planning with confidence has become increasingly challenging, as the market is now driven by speed. Leaders can't afford to wait, or they'll be left behind.

The idea of speed as a strategy is a relatively new concept in the agentic AI market. However, it has become clear that those who can move quickly will be the ones to reap the benefits. This shift has significant implications for leadership teams, who must now design their strategies around agentic AI. They can't ignore the importance of speed, or they'll fall behind.

The rise of Hermes Agent has also introduced a new category of asset: repeatable execution. This concept refers to the ability to capture patterns and decisions, making them searchable, shareable, and reusable. This new asset class has the potential to revolutionize the way enterprises approach workflow management. It's a game-changer, and companies that don't adapt won't be able to compete.

Every CIO should be aware of the shift in the agentic AI market and its implications for their organization. The fact that Hermes Agent has overtaken OpenClaw is a clear indication that the industry is moving towards continuity and accumulation of knowledge. As such, leaders must prioritize working with agentic architecture to stay ahead of the curve. They can't afford to wait, or they'll be left behind.

The past year has brought significant confusion about what the agentic AI category requires. However, a pattern is finally emerging, with organizations aligning around a three-layer structure. This clarity is starting to compound, and leaders must take notice. They won't want to miss out on this opportunity, as it's a chance to get ahead of the curve.

Hermes Agent is designed to run inside infrastructure that companies already control, using their own models and data. This gives organizations ownership of how work is executed, all the way down. In a market where platforms are competing to capture workflows, control itself is becoming the strategic advantage. Companies that don't have control won't be able to compete, as they'll be at the mercy of their platform providers.

The shift towards agentic AI reaches beyond software, with companies like NVIDIA positioning their systems as the foundation for continuous execution environments. The question facing leaders is no longer just which system to use but where the system should run. This moves the conversation into full stack territory, with all the capital implications that come with it. Leaders must consider the long-term effects, as this decision won't be easy to reverse.

Running systems locally reduces certain risks but introduces new ones. When a system is learning, storing patterns, and acting across tools, visibility over time becomes its own discipline. Oversight is shifting from initial access control toward something more continuous, closer to ongoing accountability than a one-time approval. It's a new way of thinking, and leaders must adapt to this change.

The records produced by these systems become the raw material for refining processes, improving performance, and testing new approaches. Every deployment contributes to future capability, which means the value curve bends upward with time rather than flattening. This is a significant advantage, as companies that don't have this capability won't be able to keep up.

OpenClaw helped define the early market, but Hermes Agent changed the pace. It improved faster, adapted faster, and spread faster, and the market rewarded all of it. Speed itself has become the strategy, and that reframes how leadership teams should be thinking about adoption windows. They can't afford to wait, or they'll be left behind.

If what you evaluate today will look outdated in 90 days, how do you plan with confidence? The answer lies in designing around agentic AI, rather than just monitoring it. Leaders have to take a proactive approach to stay ahead of the curve. They can't just react to changes, as they'll be too slow to keep up.

The rapid growth of Hermes Agent is a clear indication that the agentic AI market is moving at an unprecedented pace. As such, it's essential for leaders to prioritize working with agentic architecture and to design their strategies around speed. The future of workflow management depends on it, and companies that don't adapt won't be able to compete.

Hermes Agent's success is a testament to the power of agentic AI, and it's clear that this technology is here to stay. Leaders must take notice and adapt to this new reality, or they'll be left behind. The market is moving quickly, and it's essential to keep up.

  • Hermes Agent crossed 140,000 GitHub stars in under 90 days
  • OpenClaw reached over 250,000 stars in its first 60 days
  • Salesforce reports tens of thousands of enterprise deals tied to automated workflows
  • Hermes Agent is designed to run inside infrastructure that companies already control
  • The shift towards agentic AI reaches beyond software, with companies like NVIDIA positioning their systems as the foundation for continuous execution environments