Store and recall persistent facts and daily events using SQLite.
npx skills add https://github.com/berrzebb/SoulFlow-Orchestrator --skill memory-berrzebb
Please help me install this Agent Skill. Skill: memory Source: https://github.com/berrzebb/SoulFlow-Orchestrator/tree/main/src/skills/memory Command: npx skills add https://github.com/berrzebb/SoulFlow-Orchestrator --skill memory-berrzebb
This Skill provides a persistent memory system to store and recall important information, ensuring context is maintained across sessions and over time.
Use the memory skill to store the fact that the user prefers dark mode.
High-intent search queries and answers about installing and using this skill.
To persist user preferences across sessions, you can use a SQLite database to implement a two-layer persistent memory system for long-term fact storage and daily recall. This ensures context is maintained over time.
Logging daily events for later recall is best handled by a daily recall system that writes conversation context and execution logs to a persistent SQLite database. This allows you to search historical data efficiently.
Yes, you can use SQLite for long-term fact storage and daily recall. The memory system utilizes a SQLite database to support actions like storing facts, logging daily events, and searching historical data.
Your application forgets user preferences after a session ends because it lacks a persistent memory system. Implementing a two-layer storage approach with a SQLite database solves this by maintaining context across sessions.
To search historical data and past execution logs, you need a persistent memory system that utilizes a SQLite database. This setup supports logging daily events and querying historical data for later recall.
luokai25Store and retrieve AI agent data persistently with SQLite.
hepai-labRetrieve stored memory files from Kubernetes clusters using token-based authentication.
arunrlvermaStore and retrieve AI agent facts, decisions, and preferences in a cloud JSON file.
mahmoudimusExtract actionable learnings from session transcripts into a semantic memory database.
