Memryzed

What is Memryzed?

Memryzed is a local-first MCP server that gives any MCP-aware coding agent (Claude Code, Kiro, Codex, Cursor, Copilot CLI, Continue, and others) durable memory across sessions and resumable working state per repository. All data lives on your machine in a single SQLite database — no accounts, no telemetry by default, no network calls.

How to use Memryzed?

Install with one command for macOS/Linux/WSL (curl -fsSL https://memryzed.com/install.sh | bash) or Windows (PowerShell: irm https://memryzed.com/install.ps1 | iex). After install run memryzed init for one-time setup, memryzed install to auto-wire into detected MCP clients, and memryzed doctor to verify everything works.

Key features of Memryzed

• Global memory — user-wide preferences across every project and machine.
• Project memory — repository-scoped facts that persist across sessions.
• Session state — per-task working state to resume exactly where you left off.
• All data stored locally in a single SQLite database.
• Nine MCP tools for recalling, storing, and managing facts and sessions.
• Background extraction engine with CLI review queue to approve or reject proposals.

Use cases of Memryzed

• An agent remembers your preferred test framework across new conversations.
• Resume an interrupted coding task with open files, recent conversation, and last commands intact.
• Store repository-specific conventions (build commands, coding style, ownership) that persist across sessions.
• Approve or reject proposed facts from agent conversations via a simple CLI queue.

FAQ from Memryzed

What data does Memryzed store and where does it live?

All data is stored in a local SQLite database on your machine. No accounts, no telemetry by default, and no network calls are made.

Which coding agents work with Memryzed?

Any MCP-aware agent works, including Claude Code, Kiro, Codex, Cursor, Copilot CLI, Continue, and others.

How does Memryzed extract facts from conversations?

A background engine captures agent conversations and proposes facts using a rule-based extractor, with an optional local-LLM extractor. You approve, edit, or reject proposals through a CLI review queue.

What is the current status of Memryzed?

Pre-1.0. It is feature-complete against the v1 specification but the API and on-disk format may change before stable release.

Does Memryzed require any external services or accounts?

No. It runs as a local MCP server over stdio and does not require accounts, telemetry, or external network calls by default.