Enables AI agents to have persistent, self-managing memory with bi-temporal supersession, timely forgetting, and recall under a limited context window, using MCP protocol.
Local, cross-agent memory for AI coding agents using a single SQLite file, enabling persistent sessions and durable facts shared across multiple MCP-compatible tools.
Deterministic state layer for AI agents that stores versioned entities such as contacts, tasks, transactions, and decisions with immutable observations and full provenance. Local-first SQLite memory shared across Claude, Cursor, ChatGPT, Codex, and OpenClaw via MCP and native plugins.
SQLite-backed memory storage for MCP agents with optional semantic search via OpenAI embeddings, enabling agents to remember, recall, and manage contextual information across sessions.