Agent Memory Mcp

agent-memory-mcp

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

كيف تركّبه؟

  1. ١حمّل ملف ZIP من الزر فوق.
  2. ٢فكّ الضغط وحطّ المجلد داخل .claude/skills/ في مشروعك (أو ~/.claude/skills/ لو تبيه في كل مشاريعك).
  3. ٣شغّل Claude Code من جديد — بيلقط السكِل تلقائياً ويستدعيه وقت ما تحتاجه المهمة.
محتوى SKILL.md

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. Clone the Repository: Clone the agentMemory project into your agent's workspace or a parallel directory:
bash
   git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory
  1. Install Dependencies:
bash
   cd .agent/skills/agent-memory
   npm install
   npm run compile
  1. Start the MCP Server: Use the helper script to activate the memory bank for your current project:
bash
   npm run start-server <project_id> <absolute_path_to_target_workspace>

_Example for current directory:_

bash
   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.

bash
npm run start-dashboard <absolute_path_to_target_workspace>

Access at: http://localhost:3333

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