Manage persistent memories across sessions via the gobby-memory MCP server.
npx skills add https://github.com/GobbyAI/gobby --skill memory-gobbyai
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
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.
Use the memory remember command to store a memory, then recall it with memory recall to verify persistence.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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