Enables AI agents to share a homeostatic internal state across process and session boundaries, with tools to read, modify, and explain the state based on simulated neurotransmitter dynamics.
Provides AI agents with a persistent internal dynamical state and emotional reservoir that evolves based on text interactions. This server enables agents to maintain a consistent affective substrate across sessions through tools that track phase coherence and emergent emotional vibes.
Exposes real-time health data from the Ultrahuman Ring to AI agents via the Model Context Protocol, providing optimized summaries with trend analysis and actionable insights.
Exposes WAVE streaming APIs as tools for AI assistants to manage live streams, studio productions, and real-time analytics. It enables users to control stream lifecycles, monitor health metrics, and access billing usage through the Model Context Protocol.
Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.
