memory

Manage persistent memories across sessions via the gobby-memory MCP server.

19|3|Updated Dec 15, 2025

Search Tags:#recall #MCP #search #memory #persistence #tags

Ready to run

npx skills add https://github.com/GobbyAI/gobby --skill memory-gobbyai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/GobbyAI/gobby/tree/main/src/gobby/install/shared/skills/memory
Command: npx skills add https://github.com/GobbyAI/gobby --skill memory-gobbyai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides persistent memory management across sessions by interacting with the gobby-memory MCP server to store, search, update, and delete memories, ensuring continuity in user workflows.

Core Features & Use Cases

Memory creation & storage: Store memories with content, type, importance, and tags for future recall.
Memory retrieval & search: Query memories with textual or tag-based filters to surface relevant context.
Memory lifecycle: Update, delete, and export memory graphs to maintain an organized memory store across projects.

Quick Start

Use the memory remember command to store a memory, then recall it with memory recall to verify persistence.

Frequently Asked Questions about memory

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

FAQPage Schema

How do I persist memory across sessions for an interactive workflow?▼

You can persist memory across sessions by interfacing with the gobby-memory MCP server to store, search, and manage memories. This ensures continuity by allowing cross-session recall, tagging, and lifecycle management across projects.

How do I search stored memories using tags and text filters?▼

Search stored memories by applying textual or tag-based filters to surface relevant context. The memory search function queries the persistent store to retrieve memories matching your specified tags and content criteria.

Can I scope persistent memories to specific projects and assign importance levels?▼

Yes, persistent memories can be scoped to specific projects and assigned importance levels. When creating a memory, you define its content, type, importance, and tags, enabling organized memory lifecycle management across multiple projects.

What is the best way to manage the memory lifecycle across multiple projects?▼

The best way to manage the memory lifecycle is by using functions to create, update, delete, and list memories. You can also export the memory graph to maintain an organized and persistent memory store across different projects.

How do I retrieve related memories and view memory statistics?▼

Retrieve related memories and view statistics by using the get_related_memories and memory_stats functions. These tools query the gobby-memory MCP server to surface connected context and provide insights into your persistent memory store.