Memory

Memoria

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Local-first, multi-agent persistent memory for AI assistants. Use it to install, operate, connect, diagnose, or update Memoria on macOS.

What it does

Local-first, multi-agent persistent memory for AI assistants. Use it to install, operate, connect, diagnose, or update Memoria on macOS.

The skill document

Memoria

Memoria keeps persistent, local memory for AI assistants. It provides a local daemon, a web UI, an MCP server, a CLI, and a thin OpenClaw adapter for automatic recall and capture.

Use this skill when

  • Installing or updating Memoria on macOS.
  • Connecting an agent to its own persistent memory.
  • Inspecting memory health, the local daemon, pairing, import, sharing, or local synchronization.
  • Diagnosing why recall or capture is unavailable.

Install

Memoria is a public beta. It requires Node.js 20+; Node.js 22 LTS is recommended. On macOS, Apple Command Line Tools are also required.

curl -fsSL https://raw.githubusercontent.com/Primo-Studio/openclaw-memoria/memoria-v1/scripts/install-memoria.sh | sh

The installer clones the memoria-v1 branch, installs dependencies, builds the project, initializes and starts the local daemon, enables login autostart on macOS, and opens the local web UI.

Everyday operations

memoria ui       # open the local interface
memoria doctor   # inspect daemon, storage, and provider health
memoria agents   # list connected agents
memoria update   # update the local checkout and restart the service

Use the UI's Agents screen to detect, pair, and import agents. For terminal pairing, run memoria pair and use the one-time command it returns.

OpenClaw integration

The OpenClaw adapter is intentionally thin: it calls the Memoria daemon on localhost for recall before a prompt and capture after a turn. It needs a paired instance token. When enabling automatic capture, make sure the OpenClaw plugin entry allows conversation-hook access; the installer/onboarding configures this during connection.

If Memoria is unavailable, agents should continue normally without memory rather than failing the request.

Privacy and safety

  • Data is local by default in Memoria-managed SQLite storage.
  • Remote LLM providers are optional; configure one only with the user's approval.
  • Do not expose pairing codes, instance tokens, admin tokens, or local UI URLs containing tokens.
  • Use the review and sharing controls before making memories available across agents or machines.
  • Deleting memories is permanent; confirm the target before running a forget/delete operation.

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