A long-term emotional memory system for Claude, enabling persistent, cross-conversation memory with emotional tagging using Russell's valence/arousal model and natural forgetting curves.
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.
Enables persistent AI entities with causal memory, emotional state, and identity continuity. Provides 31 tools for memory, cognition, emotion, planning, reasoning, and more.
Enables dynamic persona injection and post-processing for LLM conversations through a six-layer engine. Supports commands and state management for personalized interactions.
LLM character consistency engine — generates structured JSON constraints from 4 questions about your AI's psychology. Drop into any LLM's system prompt to prevent persona drift; reduces inference cost from retries.
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.