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Claude Memory Kit

技能 已验证 活跃

Persistent memory for Claude Code agents with an agent-audit-ritual architecture. User only talks; agent captures, audits, proposes promotions, and writes. Four layers — daily logs, hot cache (MEMORY.md), role-based reference skills (Anthropic-native, user-invocable: false), canonical rules. /close-day runs the audit ritual at end of day. Multi-project isolation via projects/<name>/. Zero external dependencies.

目的

To provide Claude Code agents with persistent, long-term memory that captures, organizes, and synthesizes information across sessions, enabling continuity and deeper contextual understanding.

功能

  • Persistent memory across sessions
  • Agent-driven information capture, audit, and promotion
  • Four-layer memory architecture
  • Multi-project isolation
  • End-of-day audit ritual via /close-day

使用场景

  • Maintaining brand voice and project context across multiple conversations
  • Building a searchable knowledge base from agent interactions
  • Ensuring continuity on complex, long-running projects
  • Automating the synthesis and organization of daily work logs

非目标

  • Direct user editing of memory files
  • External dependencies or services
  • Background detection scripts or auto-flushing
  • Ad-hoc experimentation directly in production projects

安装

npx skills add awrshift/claude-starter-kit

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交18 days ago
星标15
许可证MIT
状态
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