LLM Wiki

LLM Wiki Memory

Agentic memory for AI apps — facts, events, and semantic recall

Platform-agnostic TypeScript engine for hybrid LLM memory. Episodic fact extraction, vector search, ontology graphs, and multi-agent architectures over SQLite. Bring your own adapter.

npm Packages

@equationalapplications/core-llm-wiki

Any runtime with SQLite

@equationalapplications/expo-llm-wiki

React Native / Expo

@equationalapplications/react-llm-wiki

React web

@equationalapplications/core-llm-tools

Agent tool definitions & permissions

Platform-agnostic

SQLiteAdapter interface, zero runtime deps — bring your own adapter.

Semantic search

Embeddings + cosine similarity; MiniSearch keyword fallback.

Immutable vs mutable facts

Document-sourced vs inferred vs user-stated memory types.

Maintenance jobs

Librarian, heal, reembed, and prune background jobs.

Per-entity seeded ontology

Strict, Emergent, or Off modes for structured knowledge.

OKF v0.1 import/export

Open Knowledge Format interoperability for memory portability.

Production-proven in Clanker

Powers persistent memory in the Clanker AI companion app.

Under the Hood

Tiered AI memory architecture

Inspired by Andrej Karpathy's LLM Wiki memory spec.

Powers persistent memory in Clanker— our personal AI companion with real-time voice.