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Fluid Memory
by
JiagHong Phang
· GitHub ↗
· v1.0.9
8046
Downloads
5
Stars
38
Active Installs
11
Versions
Install in OpenClaw
/install fluid-memory
Description
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
Usage Guidance
Install only if you want OpenClaw to keep a local, unencrypted memory of conversations. Enable the hook deliberately, avoid sending secrets while it is active, protect or periodically clear ~/.openclaw/workspace/database/, and do not run the daemon unless you want scheduled cleanup that can eventually delete archived memories.
Capability Assessment
Purpose & Capability
The artifacts coherently implement local long-term memory, recall reinforcement, summarization, archiving, and forgetting behavior. These capabilities match the stated purpose, though they can retain personal or confidential chat content.
Instruction Scope
Tool triggers are memory-focused, but the optional hook records every sent message for later memory processing and the guidance encourages natural intent-based triggering. This is broad, but the hook behavior is documented in the hook and README.
Install Mechanism
Installation uses normal local skill files, Python dependencies, and an optional manual hook copy/configuration step. No hidden downloader, remote execution installer, or privilege escalation mechanism was found.
Credentials
The skill writes to ~/.openclaw/workspace/database/ and discloses plaintext local storage with no cloud sync. This is proportionate for a memory skill, but users should treat the database and logs as sensitive.
Persistence & Privilege
Conversation logs, ChromaDB memory, and summary buffers persist locally; a daemon can run scheduled maintenance if manually launched. Maintenance may permanently delete old archived memories, but it is limited to the skill's own memory store and no stealth startup was found.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install fluid-memory - After installation, invoke the skill by name or use
/fluid-memory - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.9
feat: 更新描述+添加隐私声明
v1.0.8
fix: 修正HOOK.md描述+移除SKILL.md过时功能
v1.0.7
feat: 精简代码+重写简介，强调依赖原生flush触发
v1.0.6
feat: 5轮触发+Session恢复检查+完善互补说明
v1.0.5
feat: 优化静默模式 + 完善依赖声明
v1.0.4
feat: 动态查找Python路径，兼容不同环境
v1.0.3
feat: maintenance添加120天硬删除逻辑
v1.0.2
docs: 更新SKILL.md添加遗忘机制
v1.0.1
docs: 添加遗忘机制说明
v1.0.0
首发版本
v0.1.0
fluid-memory v0.1.0
- 初始发布：基于流体认知架构的记忆系统。
- 支持「植入记忆」「唤起记忆」「遗忘」和「状态查询」四大工具接口。
- 记忆会随时间/使用强化或遗忘，实现更自然、拟人化的记忆管理。
- 工具调用示例与最佳实践说明，便于理解与集成。
Metadata
Frequently Asked Questions
What is 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. It is an AI Agent Skill for Claude Code / OpenClaw, with 8046 downloads so far.
How do I install Fluid Memory?
Run "/install fluid-memory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Fluid Memory free?
Yes, Fluid Memory is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Fluid Memory support?
Fluid Memory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Fluid Memory?
It is built and maintained by JiagHong Phang (@againta); the current version is v1.0.9.
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