Shinon — AI-powered conversational memory engine
Project description
Shinon
Shinon gives AI agents a persistent personality that evolves over time. No chatbots that forget — just continuous, self-curating memory and mood.
Shinon is a lightweight, local-first architecture that transitions AI from stateless chatbots into continuous, embodied entities. Backed by a dynamic semantic memory stream and an internal two-dimensional affective engine (Valence & Arousal), Shinon computes expectancy deltas at every interaction turn to drive an organic, evolving personality trajectory.
Status
v0.0.2 — Planning
This is a placeholder release to claim the package name on PyPI. Full API docs and features coming soon.
Quick Start
pip install shinon
Features
- Fixed-section context model (SOUL, MEMORY, EXPECTANCY, CONVERSATION, WORKING_SPACE)
- LLM-driven mood management with expectancy calculus
- Personality system with configurable baselines
- Token-budget-aware context curation
Repository
https://github.com/markedcognitive/shinon
License
AGPL-3.0 — All modifications must be shared back, even when used as a service.
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