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kagura-memory

Manage long-term project memory sessions via Kagura Memory Cloud.

8|8|Updated Mar 28, 2026
Search Tags:#project memory#AI agent#session management#knowledge recall#memory cloud
One-click install
npx skills add https://github.com/kagura-ai/memory-cloud --skill kagura-memory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kagura-memory
Source: https://github.com/kagura-ai/memory-cloud/tree/main/plugins/kagura-memory/skills/kagura-memory
Command: npx skills add https://github.com/kagura-ai/memory-cloud --skill kagura-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a solution for AI agents and teams to maintain long-term project memory, ensuring that knowledge, decisions, and past experiences are not forgotten after each conversation.

Core Features & Use Cases

  • Session Management: Start, restore, and save Kagura Memory Cloud sessions.
  • Memory Recall: Recall past decisions, bug fixes, and troubleshootings.
  • Knowledge Saving: Save new knowledge, decisions, and bug fixes into the memory.
  • Context Inspection: Inspect memory contexts and verify MCP connections.
  • Use Case: For a software development team, this Skill can help in recalling past project decisions, fixing bugs, and learning from past experiences.

Quick Start

To start a Kagura Memory session, use the command: /kagura-memory:session-start

Frequently Asked Questions about kagura-memory

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

FAQPage Schema
How do I maintain persistent project memory for AI agents across sessions?▼

Persistent project memory for AI agents is maintained by leveraging a memory cloud to store decisions and experiences, preventing knowledge loss after each conversation ends.

How do I recall past bug fixes and project decisions using an AI agent?▼

Recalling past bug fixes and project decisions is done through a memory recall function that retrieves previously saved knowledge from your active memory cloud session.

Can I manage AI agent session history for software development teams?▼

AI agent session history for software development teams can be managed using session start, restore, and save functionalities to maintain continuous project context.

Do I need a memory cloud connection to use project memory management?▼

A memory cloud connection is required to use project memory management, as it provides the necessary infrastructure for session management and context inspection.

Why does my AI agent forget previous decisions after a conversation ends?▼

AI agents forget previous decisions after a conversation ends because they lack persistent memory, a problem solved by integrating a long-term memory cloud solution.

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