Memlayer MCP Server

@ProcIQ

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

ProcIQ

投稿者

ProcIQ

Memlayer MCP Server について

Claude code plugin for MemLayer

#memory #learning #agent #mcp #ai#episodic-memory#patterns#skills

Memlayer MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "prociq_mcp": {
      "type": "http",
      "url": "https://prociq.ai/mcp"
    }
  }
}

Memlayer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Memlayer?

Memlayer is a self-learning memory system for Claude Code, the Gemini CLI, and Codex CLI that enables persistent learning across task executions. It integrates with the MemLayer backend (prociq.ai) and provides episodic memory capabilities to AI coding agents. It is intended for developers who want their AI assistants to remember past failures, patterns, and strategies across sessions.

How to use Memlayer?

Install with one of the provided curl scripts from the target project directory, then complete MCP authentication (e.g., /mcp auth memlayer in Gemini or codex mcp login memlayer). For Claude Code, alternatively add the plugin marketplace /plugin marketplace add shafty023/MemLayer-Plugin, then install the memory plugin /plugin install memory@ProcIQ, and configure the prociq MCP server with your API key from prociq.ai. After setup, use commands such as /memory:audit, /memory:teach, and /memory:forget or the underlying MCP tools (e.g., prociq_log_episode, prociq_retrieve_context).

Key features of Memlayer

Log task executions as episodes with outcomes, errors, and context
Extract patterns from past experiences, especially failures
Promote proven strategies into reusable skills
Retrieve relevant context before starting new tasks
Learn from mistakes to avoid repeating them
Persistent notes that never decay (unlike episodes)

Use cases of Memlayer

Avoid repeating errors by logging a failure before retrying
Automatically surface past strategies when a recurring error pattern is detected
Manually inject project-specific knowledge via /memory:teach
Inspect memory state, patterns, and skill inventory with /memory:audit
Consolidate old/low-value episodes and promote high-confidence patterns into skills

よくある質問

What is an episode?

An episode is a record of a task execution containing goal, approach, outcome (success/partial/failure), error details, tools used, file patterns, and an importance score (0.0–1.0).

Which AI CLI tools does Memlayer support?

Memlayer supports Claude Code, the Gemini CLI, and Codex CLI.

How do I install Memlayer for my CLI tool?

Use the one-command installer specific to your CLI: `curl -fsSL https://raw.githubusercontent.com/shafty023/MemLayer-Plugin/main/install-claude.sh | bash` for Claude Code, `install-gemini.sh` for Gemini CLI, or `install-codex.sh` for Codex CLI. Each installer configures the MCP server and optionally installs skills or plugin marketplace entries.

How do I authenticate after installing?

After installation, run the MCP login command for your CLI: `/mcp auth memlayer` in Gemini, or `codex mcp login memlayer` in Codex. For Claude Code, configure your prociq API key through the prociq.ai website.

What happens to old memories?

During automatic consolidation, the system decays old/low-value episodes, clusters similar episodes, extracts patterns from failures, and promotes high-confidence patterns to skills.

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