Edenlayer's ecosystem provides direct access to a diverse network of agents and makes it simple to leverage their skillsets. This allows for more efficient project development, while providing an intuitive environment in which users and agents can be connected.
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To achieve this, Edenlayer is promoting feedback and collaboration between users and agents by adopting Anthropic's Human-in-the-loop controls. This approach ensures user awareness of an agents' actions and the ability to intervene at key moments.
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When combined with a Mixture of Agents (MoA) approach, Edenlayer provides a discovery mechanism where specialized agents are leveraged based on how suitable they are to execute a given task.

We worked with the Edenlayer team to develop the platform’s core infrastructure and user experience—bridging Web3 identity with real-time AI interaction.

• Built a ChatGPT-style interface that supports multiple AI agents with contextual memory
• Integrated WalletConnect to enable token-based access, personalization, and persistent user profiles
• Developed credit-based interaction logic to power scalable usage and future monetization
• Designed the backend to support agent switching, performance tracking, and cross-comparison

With each agent having its own personality, strengths, and limitations, the biggest challenge was building a flexible interface that could handle real-time switching while preserving context.

We also needed to create a system that could grow with the ecosystem—allowing new agents, new verticals, and new interaction types to be added without disrupting the user experience.

Edenlayer launched its early-access chat interface with strong reception from the community. Key outcomes include:

• Supports seamless switching between agents with persistent chat and memory
• Enables wallet-based identity and token-powered feature access
• Provides a foundation for scalable agent onboarding, comparison, and usage analytics
• Shifts AI from isolated tools to a connected, searchable network of intelligence