A deterministic state layer for AI agents that stores versioned entities with immutable observations and full provenance tracking. Works across Claude, Cursor, ChatGPT with local-first SQLite backend for persistent, schema-driven memory.
Neotoma is a deterministic state layer designed for AI agents that provides a structured way to store and manage versioned entities including contacts, tasks, transactions, and decisions. It maintains immutable observations with complete provenance tracking, enabling AI systems to have reliable, auditable memory across multiple client applications. The tool implements schema-first data extraction and provides cross-client synchronization capabilities.
Neotoma functions as an MCP (Model Context Protocol) server. Installation involves cloning the repository from GitHub and configuring it as a local-first SQLite database. The server can be integrated with Claude, Cursor, ChatGPT, and other compatible clients through MCP configuration. Detailed setup instructions are available in the GitHub repository's documentation.
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