mcpbeat

Agent Memory MCP

lingxling/agent-memory-mcp

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

640 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
1
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/lingxling/awesome-skills-cn --skill agent-memory-mcp

The instruction itself

11 sections, as written by the author

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

  • Clone the Repository:

Clone the agentMemory project into your agent's workspace or a parallel directory:

   git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory
  • Install Dependencies:
   cd .agent/skills/agent-memory
   npm install
   npm run compile
  • 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)

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.

Repackaged in 1 other repositories

same content, different owner
aiskillstore/marketplace open on GitHub →
lingxling/awesome-skills-cn open on GitHub →

How to use it

Copy the folder

Take lingxling/agent-memory-mcp from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm. Without those the skill loads but fails at the first command.