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memory-recall

Retrieves relevant long-term memories from OpenViking Session using Python search.

28.1k|2.2k|Updated Jan 5, 2026
Search Tags:#context#recall#agent#retrieval#memory#history
One-click install
npx skills add https://github.com/volcengine/OpenViking --skill memory-recall-volcengine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-recall
Source: https://github.com/volcengine/OpenViking/tree/main/examples/claude-memory-plugin/skills/memory-recall
Command: npx skills add https://github.com/volcengine/OpenViking --skill memory-recall-volcengine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps retrieve relevant long-term memories that were previously extracted and stored by the OpenViking Session memory, addressing the challenge of remembering past decisions, fixes, or historical context across different sessions.

Core Features & Use Cases

  • Memory Retrieval: Access and recall specific memories based on user queries.
  • Contextual Search: Find information related to past decisions, fixes, historical context, or previous sessions.
  • Use Case: If a user asks, "What did we decide about the user authentication flow last week?", this skill can recall the relevant decision from past interactions.

Quick Start

Use the memory-recall skill to find memories related to fixing the login bug.

Frequently Asked Questions about memory-recall

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

FAQPage Schema
How do I recall past decisions and historical context across agent sessions?▼

To recall past decisions and historical context across agent sessions, you can retrieve relevant long-term memories from OpenViking Session memory by querying past interactions based on user search terms.

How does memory retrieval work for finding previous fixes and historical context?▼

Memory retrieval works by searching and filtering extracted long-term memories stored in OpenViking Session memory, matching user queries to past fixes and historical context based on specified relevance and top-k parameters.

Can I use Python scripts to search and filter long-term memories based on relevance?▼

Yes, you can use a Python script to search and filter long-term memories, adjusting the relevance matching and top-k parameters to retrieve specific past decisions or fixes from the OpenViking Session memory.

What is the best way to retrieve specific memories from previous sessions?▼

The best way to retrieve specific memories from previous sessions is to query the OpenViking Session memory with contextual search terms, allowing the Python script to filter and return the most relevant historical context.

Do I need OpenViking Session memory to access past interactions and historical context?▼

Yes, you need OpenViking Session memory because it stores the extracted long-term memories required to access past interactions, fixes, and historical context across different agent sessions.

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