recall-project-memory

Retrieve past project decisions, patterns, and constraints from Mem0.

2|1|Updated Dec 14, 2025
One-click install
npx skills add https://github.com/evgenygurin/claude-mem0-project-memory --skill recall-project-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recall-project-memory
Source: https://github.com/evgenygurin/claude-mem0-project-memory/tree/main/skills/recall-project-memory
Command: npx skills add https://github.com/evgenygurin/claude-mem0-project-memory --skill recall-project-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automatically searches Mem0 for relevant project memory to inform decisions, enabling faster, more consistent work and reducing the risk of repeating past mistakes.

Core Features & Use Cases

  • Automatic recall: The agent automatically searches Mem0 for memories related to the current task.
  • Contextual application: Applies past decisions, patterns, and constraints to the current work.
  • Time savings: Speeds up feature implementation, debugging, and architectural reviews by reusing historical context.
  • Use Case: Starting a new feature, debugging, or performing an architectural review; memory recall guides decisions and keeps history aligned.

Quick Start

Trigger recall at the start of a task: "Recall project memory for the current feature to align with past decisions."

Frequently Asked Questions about recall-project-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I surface relevant project memory to inform my current work?

Recall project memory by querying Mem0 for past decisions, patterns, and constraints related to your current task. The Skill automatically searches and surfaces historical context with sourcing references to guide feature implementation, debugging, and architectural decisions while maintaining consistency with project history.

When should I use semantic search to retrieve project context?

Use semantic search during feature initialization, architectural reviews, and debugging sessions. Searching by domain, component, and technology filters memories by relevance, helping you avoid repeating past mistakes and aligning new work with established patterns without manual history review.

Can I automatically query memories by component and technology?

Yes. The Skill queries Mem0 by domain, component, and technology, then filters results by relevance and presents concise abstracts with sourcing references. This automation eliminates manual searching and surfaces only the project context applicable to your current work.

How does recalling project memory speed up feature development?

Automatic recall retrieves relevant decisions and constraints at task start, reducing time spent researching past work. Applying historical context immediately informs decisions and keeps implementations aligned with project patterns, accelerating feature initialization and architectural review cycles.

What's the difference between manual context lookup and automatic memory recall?

Manual lookup requires searching project history yourself; automatic recall queries Mem0 proactively, filters by relevance to your current domain and component, and presents abstracts with sourcing. This eliminates context-switching overhead and ensures you capture applicable constraints before decisions are made.

Does memory recall work with existing architectural decisions?

Yes. The Skill applies past architectural decisions, component patterns, and technology constraints to your current work. It surfaces decisions made during previous architectural reviews and refactoring cycles, ensuring new work respects established design patterns and avoids contradicting prior choices.