📄️ Arc Storage Backend
Memtrace requires an Arc instance as its storage backend. All memories are stored in Arc's time-series format, providing high-performance temporal queries and efficient compression.
📄️ Claude Integration
Complete examples showing how to use Memtrace with the Anthropic Claude API for agent memory.
📄️ OpenAI Integration
Complete guide for using Memtrace with both the OpenAI API and OpenAI Agents SDK for agent memory.
📄️ MCP Server
Memtrace ships an MCP (Model Context Protocol) server that exposes memory tools over stdio. This enables integration with any MCP-compatible client — Claude Code, Claude Desktop, Cursor, Windsurf, Cline, Zed, VS Code Copilot, Gemini CLI, and more.