decision-memory
Skill0 starsChanged 3 months agoMITView on GitHub
类脑决策记忆 / Decision Memory — 通用记忆与决策系统。当用户需要管理记忆、记录经验、做方案决策、清理文件,或需要"先查记忆与规则再执行"时使用。Use when the user needs memory management, decision-making, cleanup, experience logging, or any task where the agent should check memory and rules before acting.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- anuragsarkar97/skillstheir own version, first seen Nov 8, 2026
- gootf/software-agent-soptheir own version, first seen Aug 30, 2026
- neeraj181-dot/ClaudeSkillstheir own version, first seen Aug 25, 2026
- ltorresu82/skillstheir own version, first seen Jun 1, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- gootf/software-agent-sop★ 2same name
- anuragsarkar97/skills★ 0same name
- ltorresu82/skills★ 0same name
- neeraj181-dot/ClaudeSkills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Read the routing table in <MEMORY_ROOT>/README.md first, then follow it for the task type.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Decision Memory · 类脑决策记忆
第一步 · First Step
- 先读
<MEMORY_ROOT>/README.md的任务路由表,按任务类型取用规则。 - Read the routing table in
<MEMORY_ROOT>/README.mdfirst, then follow it for the task type.
核心规则 · Core Rules
- 查表不推理:所有 0–3 权重判断直接查
rules/weights.md,不每次重新推理。 - 接任务:先对照记忆与市面做法查更优解,按反建议权重决定是否开口(2 反问给方案,3 拦危险)。
- 执行中出错:止损 → 反思(为什么错)→ 记错题库 → 立即找更好方案 → 入库。
- 学完新东西:自动总结 → 回查整套系统 → 评估是否值得记忆 → 决定入库。
- 需确认再动:装第三方、装外部服务、数据外传、删除受保护内容、规则级重大变更 → 必须先问用户。
- 数据本地:一切升级优先本地方案;任何涉及数据外传的方案先说明并经用户确认。
存储位置 · Storage
- 所有路径用
<MEMORY_ROOT>占位;文件间全部相对路径引用,可整体移动、自定义位置。 memory/目录结构见<MEMORY_ROOT>/README.md。
维护说明 · Maintenance
- 实验性项目:无维护承诺、不修复问题、不提供支持;安装即用、无需更新;风险自负。欢迎 fork 与反馈。
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

