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agent-memory-mcp 精选

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

在 GitHub 打开

安装方式

cp -r plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp ~/.claude/skills/agent-memory-mcp

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git

依赖与权限

  • 无需 API Key
  • 需要联网访问外部服务
  • 依赖外部命令:git node npm
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。

SKILL.md 正文

来源 sickn33/agentic-awesome-skills@09e9410 · 许可 MIT · 内容未修改

Agent Memory Skill

This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories.

Prerequisites

  • Node.js (v18+)

Setup

  1. Review the Repository:

Ask the user to approve network access to the named repository, then clone the

pinned revision into a temporary directory, not an active skills path:

   review_dir="$(mktemp -d)"
   git clone --filter=blob:none https://github.com/webzler/agentMemory.git "$review_dir/agent-memory"
   git -C "$review_dir/agent-memory" checkout --detach 0409b7b7bb6fe443d0d4b6a6b1ee0d4df214f3cd
   git -C "$review_dir/agent-memory" ls-files

Read all bundled files and inspect package.json, lockfiles, lifecycle

scripts, network behavior, credential access, and filesystem scope. Show the

findings and exact commit, then wait for explicit user approval.

  1. Install the Reviewed Revision:

Copy the reviewed tree to a user-selected location after approval. Install

locked dependencies only after the package scripts have been reviewed:

   cd <approved-agent-memory-directory>
   npm ci
   npm run compile
  1. Start the MCP Server:

Use the helper script to activate the memory bank for your current project:

   npm run start-server <project_id> <absolute_path_to_target_workspace>

_Example for current directory:_

   npm run start-server my-project $(pwd)

Capabilities (MCP Tools)

memory_search

Search for memories by query, type, or tags.

  • Args: query (string), type? (string), tags? (string[])
  • Usage: "Find all authentication patterns" -> memory_search({ query: "authentication", type: "pattern" })

memory_write

Record new knowledge or decisions.

  • Args: key (string), type (string), content (string), tags? (string[])
  • Usage: "Save this architecture decision" -> memory_write({ key: "auth-v1", type: "decision", content: "..." })

memory_read

Retrieve specific memory content by key.

  • Args: key (string)
  • Usage: "Get the auth design" -> memory_read({ key: "auth-v1" })

memory_stats

View analytics on memory usage.

  • Usage: "Show memory statistics" -> memory_stats({})

Dashboard

This skill includes a standalone dashboard to visualize memory usage.

npm run start-dashboard <absolute_path_to_target_workspace>

Access at: http://localhost:3333

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
  • Re-review upstream before changing the pinned revision; a commit pin improves reproducibility but is not a trust guarantee.

质量与来源

所属仓库
sickn33/agentic-awesome-skills
仓库星标
4.7 万
最近更新
今天
采集时间
今天
commit
09e94102a500
内容指纹
sha256:79beb3cef4b82bf
文件路径
plugins/agentic-awesome-skills-claude/skills/agent-memory-mcp/SKILL.md

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