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memory-setup

Configure persistent memory search for Moltbot/Clawdbot agents using Voyage AI embeddings.

Updated Feb 2, 2026
Search Tags:#context#configuration#memory#persistence#clawdbot#moltbot
One-click install
npx skills add https://github.com/drbobber/superdiscount-deals --skill memory-setup-drbobber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-setup
Source: https://github.com/drbobber/superdiscount-deals/tree/main/skills/memory-setup
Command: npx skills add https://github.com/drbobber/superdiscount-deals --skill memory-setup-drbobber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the "goldfish brain" problem of AI agents by enabling and configuring persistent memory search, allowing them to recall past conversations, user preferences, and project details across sessions.

Core Features & Use Cases

  • Persistent Context: Configure memorySearch in clawdbot.json or moltbot.json to enable long-term memory.
  • Structured Memory: Set up a directory structure (MEMORY.md, memory/logs/, memory/projects/, etc.) for organizing different types of memory.
  • Agent Integration: Instruct agents on how to use memory recall before answering questions.
  • Use Case: Help a user set up their agent's memory so it remembers their project details and preferences from previous conversations, leading to more personalized and efficient interactions.

Quick Start

Enable memory search by adding the provided JSON configuration to your clawdbot.json file and creating the specified workspace directory structure.

Frequently Asked Questions about memory-setup

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

FAQPage Schema
How do I configure persistent memory for my Moltbot or Clawdbot agent?▼

To configure persistent memory for a Moltbot or Clawdbot agent, add the memorySearch configuration to your clawdbot.json or moltbot.json file and create the specified workspace directory structure. This enables long-term recall using Voyage AI embeddings.

What is the best way to stop my AI agent from forgetting past conversations?▼

The best way to stop an AI agent from forgetting past conversations is to enable persistent context retention. Configuring memory search allows your agent to recall user preferences, project details, and past interactions across multiple sessions.

How do I set up a structured memory directory for AI context retention?▼

Set up structured memory by creating a directory structure with MEMORY.md, memory/logs/, and memory/projects/. This organizes different types of persistent context for agent recall and improves continuity.

Does persistent memory search work with Voyage AI embeddings for agent recall?▼

Yes, persistent memory search works with Voyage AI embeddings to enable vector search for Moltbot and Clawdbot agents. This configuration facilitates improved context retention and recall across sessions.

Why does my agent need a MEMORY.md file for context persistence?▼

Your agent needs a MEMORY.md file to store structured persistent context. Combined with daily logs and vector search, it allows the agent to recall past conversations and project details before answering new questions.

Can I configure indexing modes and memory providers for my agent?▼

Yes, you can configure memory providers, sources, and indexing modes for your agent. This setup enhances context retention and allows customized persistent memory search tailored to your workflow.

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