Memryzed
Local-first cross-agent memory for AI coding agents. Persistent, shared memory over MCP — what you tell one agent can be recalled by another — with all data stored in a single local SQLite file, no cloud and no API keys.
README
Memryzed
Persistent memory and session state for AI coding agents.
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.
Your agent stops forgetting. Your work stops restarting from zero.
Status
Pre-1.0. Memryzed is feature-complete against the v1 specification
(docs/specs/v1.md): local memory store, hybrid retrieval,
per-repository sessions, the rule-based extractor with an optional
local-LLM extractor, and an MCP server exposing nine tools. The API
and on-disk format may still change before 1.0; see
docs/development/versioning.md for the compatibility policy and
CHANGELOG.md for what has shipped.
Install
macOS, Linux, WSL:
curl -fsSL https://memryzed.com/install.sh | bash
Windows PowerShell:
irm https://memryzed.com/install.ps1 | iex
Windows Command Prompt:
curl -fsSL https://memryzed.com/install.cmd -o install.cmd && install.cmd
After install:
memryzed init # one-time setup
memryzed install # auto-wire into detected MCP clients
memryzed doctor # verify everything is working
For detailed setup, see docs/getting-started.md.
What Memryzed gives you
Three layers of persistent context, exposed to any MCP-aware agent through a small, stable tool surface:
- Global memory. User-wide preferences and facts that follow you across every project and every machine.
- Project memory. Repository-scoped facts that persist across sessions in the same repository: build commands, conventions, ownership, decisions.
- Session state. Per-task working state that lets you resume exactly where you left off, including open files, recent conversation, and last commands.
All data lives on your machine in a single SQLite database. No accounts, no telemetry by default, no network calls.
How it works
Memryzed runs as a local MCP server that your agent talks to over stdio. Agents call nine tools to recall facts and conversations, store facts, checkpoint sessions, and resume them. A background engine captures your agent conversations and proposes facts; you approve, edit, or reject the proposed facts through a CLI review queue.
For the full architecture, see docs/architecture.md.
Documentation
User documentation:
docs/getting-started.md- install and first usedocs/concepts.md- the memory model and scopesdocs/cli-reference.md- every commanddocs/mcp-reference.md- every MCP tooldocs/configuration.md- configuration optionsdocs/troubleshooting.md- when something is wrongdocs/faq.md- common questions
For agent and client authors:
docs/for-agent-authors.md- how to integrate Memryzed cleanly
For contributors and operators:
docs/architecture.md- system architecturedocs/data-model.md- on-disk format and schemadocs/specs/v1.md- the full v1 specificationdocs/development/- development, release, and incident-response processdocs/roadmap.md- what is planned next
License
Apache-2.0. See LICENSE and NOTICE.
Contributing
See CONTRIBUTING.md for the development setup, branching model, and how to
propose changes. By participating in this project you agree to the
CODE_OF_CONDUCT.md.
Security
To report a vulnerability, follow the process in SECURITY.md. Do not open
public issues for security reports.
Authors
Memryzed was created by Hamza Arjah, founder and lead maintainer. See
AUTHORS for the full attribution and the repository's contributors
page for everyone who has contributed.
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