Memlayer MCP Server

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