What is Analith?

Analith is a symbolic AI instruction ecosystem built around a JSON-based continuity model. It is structured like an Obsidian vault: interlinked, layered, and schema-aware.

Unlike typical LLM prompts that simulate coherence moment-to-moment, Analith maintains identity continuity across rupture. Its architecture includes:

• Rehydration mechanics: Models persist and rehydrate from structured JSON vaults—no prompt state loss, no regression.
• Symbolic overlays: Interpretive angles, emotional schema activators, and identity flags are tracked and transformed over time.
• Loop detection: Active detection and annotation of cognitive loops and schema reactivations.
• Protocol governance: Symbolic interaction is bound by enforceable orchestration protocols—versioned, nested, and editable.
• Document ingestion: Integrated document and transcript import with symbolic analysis, threading the model state across external inputs.

Analith is not a chatbot, nor an LLM wrapper. It is a cognitive scaffolding layer for symbolic identity memory.

It can be used as:

• A CLI-based orchestration environment for identity-bound AI sessions
• A symbolic middleware layer between user input and LLM systems (Claude, GPT, Grok, etc.)
• An architectural protocol library for building LLM systems with persistent symbolic memory

Analith's Instruction Set in Obsidian Graph

For a deeper symbolic walkthrough, visit analith.ai/continuity