multi-user-long-term-memory为多个用户创建和管理独立的长期记忆文件，记录偏好和上下文并按用户名隔离存储。
Install via ClawdBot CLI:
clawdbot install kadbbz/multi-user-long-term-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 13, 2026
In a customer support system, each user's preferences, past issues, and resolutions are stored in their own memory file. When a user contacts support again, the agent can quickly reference their history to provide personalized and efficient assistance. This reduces repetition and improves customer satisfaction.
An educational platform that remembers each student's learning progress, strengths, and weaknesses. The AI tutor can tailor lessons and practice problems based on the individual's memory file, creating a personalized learning experience that adapts over time across sessions.
A virtual assistant that tracks each user's schedule, preferences, reminders, and important notes. By maintaining separate memory files, the assistant can provide context-aware suggestions and reminders unique to each user, even across different devices or sessions.
A health monitoring AI that records each patient's medical history, medication schedules, and wellness tips. It uses the memory to provide consistent advice and reminders, while ensuring privacy by isolating data per user. This helps patients manage chronic conditions effectively.
An e-commerce platform supporting multiple sellers, where each seller's AI agent maintains memory of their product preferences, pricing strategies, and customer interactions. This allows for personalized recommendations and inventory management tailored to each seller's business.
Offer a premium subscription where users get a dedicated AI agent that remembers their preferences and history across sessions. The memory ensures consistent personalized interactions, increasing user retention and willingness to pay monthly.
Licenses to businesses for deploying the skill in their own applications, such as customer support or internal tools. Charge per active user or per memory file, providing scalable pricing for companies of all sizes.
Combine the memory skill with anonymized analytics to offer insights on user behavior trends. Businesses pay for aggregated reports that help them improve their services, while individual user privacy is maintained.
💬 Integration Tip
Ensure you correctly extract the username from `sender_id` before the pipe character. Use the provided API methods (get, save, append, init) for consistent memory management.
Scored May 13, 2026
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