fluid-memory基于艾宾浩斯遗忘曲线和访问频率的衰减模型设计的遗忘和归档机制,完全依赖openclaw原生记忆系统的拟人化流体记忆系统
Install via ClawdBot CLI:
clawdbot install againta/fluid-memoryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/AgaintA/fluid-memoryAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
AI agents use Fluid Memory to remember user preferences and past issues, providing tailored responses and automatically forgetting outdated information to maintain relevance.
Tutoring AI leverages the forgetting mechanism to reinforce frequently accessed knowledge while archiving less relevant content, adapting to student learning patterns over time.
AI assistants track patient symptoms and treatment history, using recall to strengthen important health data and forget minor details to focus on critical updates.
Home AI systems remember user habits and commands, enhancing frequently used settings and forgetting rarely accessed preferences to optimize daily routines.
Offer Fluid Memory as a cloud-based service with tiered plans for different memory capacities and advanced features like analytics, targeting businesses needing scalable AI memory solutions.
Sell custom licenses to large organizations for on-premise deployment, including integration support and premium features like enhanced security and compliance tools.
Provide a free basic version with limited memory capacity and tools, monetizing through paid upgrades for advanced features such as increased storage and priority support.
💬 Integration Tip
Ensure OpenClaw memoryFlush is enabled and configure softThresholdTokens to balance memory frequency with system performance.
Scored Apr 19, 2026
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