kore-mind 0.2.0

Persistent memory + emergent identity engine for any LLM

kore-mind

Persistent memory + emergent identity engine for any LLM.

One file = one mind. SQLite-based. Zero config. Runtime-agnostic.

Install

pip install kore-mind

Usage

from kore_mind import Mind

mind = Mind("agent.db")

# Register experiences
mind.experience("User works on complexity theory proofs")
mind.experience("User prefers direct, concise answers")

# Recall relevant memories
memories = mind.recall("proof techniques")

# Reflect: decay old memories, consolidate, update identity
identity = mind.reflect()
print(identity.summary)

# Forget: explicit pruning
mind.forget(threshold=0.1)

Core concepts

• Memory has a lifecycle: salience decays over time. Unused memories fade. Accessed memories strengthen.
• Identity is emergent: not configured, but computed from accumulated memories.
• reflect() is the key operation: decay + consolidation + identity update.

API (5 methods)

Method	Description
experience(text)	Something happened. Record it.
recall(query)	What's relevant now?
reflect(fn)	Consolidate. Decay. Evolve.
identity()	Who am I now?
forget(threshold)	Explicit pruning.

License

MIT