memory-management

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Original

English

🇨🇳

Translation

Chinese

Memory Management Skill

内存管理Skill

Purpose

用途

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management.

基于HNSW向量搜索的AgentDB内存系统。为学习和知识管理提供150倍至12500倍的快速模式检索、持久化存储以及语义搜索能力。

When to Trigger

触发场景

need to store successful patterns
searching for similar solutions
semantic lookup of past work
learning from previous tasks
sharing knowledge between agents
building knowledge base

需要存储成功模式
搜索相似解决方案
对过往工作进行语义查询
从先前任务中学习
Agent间共享知识
构建知识库

When to Skip

跳过场景

no learning needed
ephemeral one-off tasks
external data sources available
read-only exploration

无需学习
临时一次性任务
可使用外部数据源
只读探索

Commands

命令

Store Pattern

存储模式

Store a pattern or knowledge item in memory

bash

npx @claude-flow/cli memory store --key "[key]" --value "[value]" --namespace patterns

Example:

bash

npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patterns

在内存中存储模式或知识条目

bash

npx @claude-flow/cli memory store --key "[key]" --value "[value]" --namespace patterns

示例:

bash

npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patterns

Semantic Search

语义搜索

Search memory using semantic similarity

bash

npx @claude-flow/cli memory search --query "[search terms]" --limit 10

Example:

bash

npx @claude-flow/cli memory search --query "authentication best practices" --limit 5

使用语义相似度搜索内存

bash

npx @claude-flow/cli memory search --query "[search terms]" --limit 10

示例:

bash

npx @claude-flow/cli memory search --query "authentication best practices" --limit 5

Retrieve Entry

获取条目

Retrieve a specific memory entry by key

bash

npx @claude-flow/cli memory get --key "[key]" --namespace [namespace]

Example:

bash

npx @claude-flow/cli memory get --key "auth-jwt-pattern" --namespace patterns

通过key获取特定内存条目

bash

npx @claude-flow/cli memory get --key "[key]" --namespace [namespace]

示例:

bash

npx @claude-flow/cli memory get --key "auth-jwt-pattern" --namespace patterns

List Entries

列出条目

List all entries in a namespace

bash

npx @claude-flow/cli memory list --namespace [namespace]

Example:

bash

npx @claude-flow/cli memory list --namespace patterns --limit 20

列出命名空间中的所有条目

bash

npx @claude-flow/cli memory list --namespace [namespace]

示例:

bash

npx @claude-flow/cli memory list --namespace patterns --limit 20

Delete Entry

删除条目

Delete a memory entry

bash

npx @claude-flow/cli memory delete --key "[key]" --namespace [namespace]

删除内存条目

bash

npx @claude-flow/cli memory delete --key "[key]" --namespace [namespace]

Initialize HNSW Index

初始化HNSW索引

Initialize HNSW vector search index

bash

npx @claude-flow/cli memory init --enable-hnsw

初始化HNSW向量搜索索引

bash

npx @claude-flow/cli memory init --enable-hnsw

Memory Stats

内存统计

Show memory usage statistics

bash

npx @claude-flow/cli memory stats

显示内存使用统计信息

bash

npx @claude-flow/cli memory stats

Export Memory

导出内存

Export memory to JSON

bash

npx @claude-flow/cli memory export --output memory-backup.json

将内存导出为JSON格式

bash

npx @claude-flow/cli memory export --output memory-backup.json

Scripts

脚本

Script	Path	Description
`memory-backup`	`.agents/scripts/memory-backup.sh`	Backup memory to external storage
`memory-consolidate`	`.agents/scripts/memory-consolidate.sh`	Consolidate and optimize memory

脚本	路径	描述
`memory-backup`	`.agents/scripts/memory-backup.sh`	将内存备份到外部存储
`memory-consolidate`	`.agents/scripts/memory-consolidate.sh`	整合并优化内存

References

参考资料

Document	Path	Description
`HNSW Guide`	`docs/hnsw.md`	HNSW vector search configuration
`Memory Schema`	`docs/memory-schema.md`	Memory namespace and schema reference

文档	路径	描述
`HNSW Guide`	`docs/hnsw.md`	HNSW向量搜索配置
`Memory Schema`	`docs/memory-schema.md`	内存命名空间与架构参考

Best Practices

最佳实践

Check memory for existing patterns before starting
Use hierarchical topology for coordination
Store successful patterns after completion
Document any new learnings

开始前检查内存中是否已有现有模式
使用分层拓扑进行协调
完成后存储成功的模式
记录所有新的学习内容