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memory-setup

Configure persistent memory search and workspace context storage for Moltbot and Clawdbot.

Updated Feb 16, 2026
Search Tags:#memory#workspace#vector search#persistent context#clawdbot#moltbot#agent setup
One-click install
npx skills add https://github.com/wewetv1987-cell/openclaw-backup --skill memory-setup-wewetv1987-cell
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-setup
Source: https://github.com/wewetv1987-cell/openclaw-backup/tree/main/skills/memory-setup
Command: npx skills add https://github.com/wewetv1987-cell/openclaw-backup --skill memory-setup-wewetv1987-cell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill fixes the “goldfish brain” problem by helping an agent retain useful context across sessions, so prior decisions, preferences, and project details are not lost.

Core Features & Use Cases

  • Persistent Memory Setup: Configures memory search so the agent can recall information from past work.
  • Workspace Memory Structure: Defines MEMORY.md and a memory folder layout for logs, projects, groups, and system notes.
  • Recall and Troubleshooting: Supports daily logging, retrieval of past context, and fixes for common memory-search issues.
  • Use Case: Use it when setting up a new workspace for Moltbot or Clawdbot, restoring missing memory behavior, or organizing long-term context for ongoing projects.

Quick Start

Enable memory search in your agent configuration, create a workspace MEMORY.md file with the recommended memory folder structure, and restart the gateway so persistent recall begins working.

Frequently Asked Questions about memory-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up persistent memory for my agent workspace?▼

To set up persistent memory, enable memory search in your agent configuration, create a workspace MEMORY.md file with a dedicated memory folder structure, and restart the gateway to begin retaining context across sessions.

What is the best way to structure long-term context for ongoing projects?▼

The best way to structure long-term context is using a workspace MEMORY.md file alongside a memory folder layout for daily logs, projects, groups, and system notes to organize persistent agent memory.

Can I use OpenAI or Voyage embeddings for agent memory search?▼

Yes, you can use OpenAI, Voyage, or local embeddings for agent memory search. Configuring indexed memory sources with these embedding providers enables the agent to recall prior conversations and decisions.

Why does my agent forget prior decisions and project details?▼

An agent forgets prior details because persistent memory is not configured. Applying memory search configuration and a workspace MEMORY.md file solves this goldfish brain problem by retaining session context.

Does this persistent memory setup work with Moltbot and Clawdbot?▼

Yes, this persistent memory setup works with Moltbot and Clawdbot. It configures memory search and workspace context storage specifically for these agent setups to recall prior conversations and decisions.

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