Hermes, co-founded by Karan Malhotra, has developed an AI agent designed to continuously improve its own capabilities while maintaining portable context across different AI models. This advancement allows creators to seamlessly transfer their workflows, preferences, and data between systems without losing personalization or progress. The agent autonomously builds, refines, and cleans up its skills over time, reducing the need for constant manual retraining or reconfiguration.

Malhotra shared that the technology played a practical role in helping him modify a childhood Sonic the Hedgehog game, demonstrating how the agent adapts to niche, creative tasks through iterative learning. By preserving context across model switches, Hermes aims to solve a key pain point for creators who often face fragmentation when using multiple AI tools.

The system’s self-improving nature means it evolves based on usage patterns, feedback, and task outcomes—making it increasingly efficient at handling complex creative workflows. This approach positions Hermes as a tool not just for automation, but for long-term, adaptive assistance tailored to individual creator needs.

For creators investing in AI-driven productivity, Hermes offers a path toward more sustainable, personalized tooling that grows with their projects rather than requiring frequent resets or relearning. The focus on context portability and self-optimization reflects a broader shift in the creator economy toward intelligent, user-centric AI ecosystems.

As AI becomes embedded in daily creative processes, innovations like Hermes highlight the importance of systems that don’t just respond—but learn, adapt, and persist across environments. Malhotra’s work underscores how foundational AI design can directly empower creators to innovate faster and more freely.