Save facts, decisions, and preferences into a knowledge graph via supermemory.ai API.
npx skills add https://github.com/zocomputer/skills --skill supermemory
Please help me install this Agent Skill. Skill: supermemory Source: https://github.com/zocomputer/skills/tree/main/Community/supermemory Command: npx skills add https://github.com/zocomputer/skills --skill supermemory
This Skill provides long-term memory for AI, allowing it to recall and build upon past interactions, decisions, and user preferences over time.
Use the supermemory skill to save the fact that the user prefers dark mode.
High-intent search queries and answers about installing and using this skill.
Persistent memory for AI conversations is achieved by saving facts, decisions, and preferences into a knowledge graph. This enables the AI to recall relevant past information during future interactions for contextual recall.
A dynamic user profile builds a living representation of the user that grows and self-corrects over time. It stores user preferences in a knowledge graph, allowing the AI to access relevant past information during conversations.
Yes, an API key is required to facilitate API interactions with supermemory.ai. You also need specific Python scripts for managing memory operations to save and recall context.
The best way to store user preferences for long-term AI recall is using a persistent knowledge graph. This approach structures facts and decisions so an AI assistant can remember details like a preference for dark mode.
Yes, specific Python scripts are used for managing memory operations with supermemory.ai. These scripts handle the API interactions required to save context and retrieve past information for the AI.
You need persistent memory when your AI assistant must recall past project decisions or user preferences across multiple separate conversations. Standard context windows are temporary, whereas a knowledge graph enables true long-term memory persistence.
ostsamGuide users to generate, validate, and store a Vapi API key in .env.
unclehowellOrganize knowledge into PARA-based memory files with three-layer structure.
arunrlvermaStore and retrieve AI agent facts, decisions, and preferences in a cloud JSON file.
handsomelong922Store and retrieve embeddings with metadata using a vector database.
