memory-system-pro-v2完整记忆系统 - 四类记忆分类 + AutoDream自动整合 + MiniMax LLM驱动 + Feedback双向记录
Install via ClawdBot CLI:
clawdbot install minmengxhw-cpu/memory-system-pro-v2Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
http://localhost:11434/api/embeddingsAudited Apr 17, 2026 · audit v1.0
Generated May 10, 2026
A solopreneur uses the memory system to store client preferences, project decisions, and external references. AutoDream automatically integrates new insights daily, ensuring no feedback or project details are lost between sessions.
A customer support agent leverages the memory system to log user preferences and past issues, enabling personalized responses. Feedback memory records both positive confirmations and negative corrections, improving response accuracy over time.
A software development team uses project and feedback memories to track sprint decisions and coding conventions. AutoDream merges duplicate memories and updates the index, keeping the team aligned without manual overhead.
A policy analyst stores references to external documents and meeting notes as user and reference memories. The system's semantic search quickly retrieves relevant past analyses and feedback, streamlining report writing.
A student uses the memory system to track learning progress, preferred study methods, and feedback from tutors. AutoDream consolidates weekly notes into a structured index, aiding revision and long-term retention.
Offer a free tier with basic memory storage (e.g., up to 50 files) and a premium tier with unlimited storage, advanced AutoDream features, and priority integration. Revenue comes from monthly subscriptions.
Sell the memory system as an enterprise add-on for collaboration platforms like Slack or Teams. Customize memory categories and AutoDream triggers for organizational workflows, charging per seat or flat fee.
License the memory system to other AI agent platforms or SaaS products as a white-label plugin. Provide APIs for embedding and memory management, generating revenue through licensing fees and usage-based pricing.
💬 Integration Tip
Integrate via direct Markdown file editing for a single user, or use the provided API endpoints to embed memory operations into existing AI agents. Start with core User and Feedback memories, then enable AutoDream for automatic consolidation once you have over 20 memory files.
Scored Jul 2, 2026
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