openviking-memory

Captures and recalls user information for conversational AI sessions via semantic/keyword modes.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mikmaneggahommie/Telebirr-Clone --skill openviking-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openviking-memory
Source: https://github.com/mikmaneggahommie/Telebirr-Clone/tree/main/openviking_source/examples/openclaw-memory-plugin/skills/install-openviking-memory
Command: npx skills add https://github.com/mikmaneggahommie/Telebirr-Clone --skill openviking-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enhances conversational AI by enabling it to automatically remember key information from past interactions and recall relevant context before responding, leading to more coherent and personalized conversations.

Core Features & Use Cases

  • Auto-Capture: Automatically saves important details from user messages into long-term memory.
  • Auto-Recall: Proactively injects relevant past information into the current conversation context.
  • Manual Store/Forget: Allows explicit saving or deletion of specific memories.
  • Use Case: A user tells the AI their preferred programming language. Later, when asked for a code example, the AI recalls the preferred language and provides a relevant example without being re-prompted.

Quick Start

Use the memory_store tool to remember that my favorite color is blue.

Frequently Asked Questions about openviking-memory

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

FAQPage Schema
How do I add long-term memory to a conversational agent?

To add conversational memory, you use a Skill that automatically captures and recalls information from user interactions. This enables the agent to store context and retrieve it later for personalized responses.

Can I manually store and delete specific memories during a session?

Yes, you can manually store and delete memories during a session. The Skill provides explicit tools for saving specific information or forgetting details that are no longer needed within your current conversation.

Does this memory plugin support both semantic and keyword search?

Yes, the memory plugin supports both semantic and keyword-based capture modes. This allows you to search and retrieve stored conversation context using either method depending on your needs.

How does auto-recall inject past context into a conversation?

Auto-recall works by proactively injecting relevant past information into the current conversation context. Before responding, the system searches stored memories to find and include pertinent details automatically.

What is the best way to remember a user's preferences across different chats?

The best way to remember user preferences across chats is by using a persistent knowledge management integration. This captures key details from past interactions and recalls them later without requiring the user to repeat themselves.

Are there limitations to using OpenViking for persistent knowledge management?

While OpenViking integrates for persistent knowledge management, its limitations depend on your session configuration. Memory capture and recall are managed within the session, so complex retrieval may require explicit manual searches.