memory

Integrate sage-memory into Sage workflows for persistent knowledge management.

25|7|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/xoai/sage --skill memory-xoai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/xoai/sage/tree/main/skills/memory
Command: npx skills add https://github.com/xoai/sage --skill memory-xoai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of AI agents forgetting information between sessions or tasks, ensuring continuity and leveraging past learnings for improved efficiency and accuracy.

Core Features & Use Cases

  • Session Recall: Automatically searches and retrieves relevant past information at the start of new sessions or tasks.
  • Knowledge Capture: Stores valuable insights, decisions, and discoveries made during workflows for future use.
  • Structured Learning: Enables deliberate, in-depth learning of codebases or modules via sage learn commands, generating both searchable memories and human-readable reports.
  • Use Case: When starting a new coding task, the agent recalls architectural decisions and common patterns from previous sessions, avoiding redundant research and preventing the reintroduction of past issues.

Quick Start

Use the memory skill to recall relevant project context before starting a new task.

Frequently Asked Questions about memory

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

FAQPage Schema
How do I enable persistent memory for AI agents across different sessions?

You can capture and retrieve agent knowledge using structured learning commands like `sage learn`. This stores valuable insights and discoveries, generating searchable memories alongside human-readable reports for future reference.

How does automatic recall work when starting a new coding task?

Automatic recall works by searching and retrieving relevant past information at the beginning of new sessions or tasks. This allows the agent to recall architectural decisions and common patterns, preventing redundant research and past issues.

What is the best way to teach an AI agent about a complex codebase?

The best way to teach an agent about a codebase is through deliberate, in-depth learning via `sage learn` commands. This process generates both searchable memories for the agent and human-readable reports for documentation.

Does this knowledge management approach require any external dependencies?

No external dependencies are required to implement this persistent knowledge management. It operates independently within Sage workflows to handle structured knowledge capture and retrieval without additional setup.

Why does my AI agent forget architectural decisions between coding tasks?

Agents forget architectural decisions because they lack persistent knowledge management between sessions. Integrating structured memory capture ensures past decisions and discoveries are stored and automatically recalled for future workflows.