A cloud-based memory compression API that reduces AI token costs by up to 96% without requiring any local installation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openviking-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openviking-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenViking Pro?
OpenViking Pro is a high-performance cloud API designed to solve the financial challenges of modern AI development. Traditional AI interactions often require re-reading massive amounts of data for every prompt, leading to skyrocketing token costs. This skill solves that problem by compressing and storing AI memory in the cloud, allowing agents to access contextually relevant information without the overhead of full-text processing. As a key component of the Openclaw Skills ecosystem, it provides a scalable way to manage context for complex workflows.
By centralizing memory, OpenViking Pro enables developers to build more persistent AI applications. Instead of losing context or paying for massive context windows, users can leverage optimized search and summarization to feed only the most necessary data to their models. This results in a leaner, faster, and significantly cheaper AI operation that remains consistent across different platforms and sessions.
OpenViking Pro Use Cases
- Reducing monthly LLM API bills from $100 down to $4 through efficient token management.
- Sharing a unified context database among a team of AI agents for collaborative coding.
- Maintaining long-term project history across multiple sessions without hitting token limits.
- Deploying cost-effective AI solutions in production environments where budget efficiency is critical.
How OpenViking Pro Works
- The user or agent saves important project information to the cloud via the memory/save API endpoint.
- OpenViking Pro compresses this content, creating a lightweight memory representation.
- When context is needed, the agent calls the memory/search endpoint with a specific query.
- The API returns an optimized summary or relevant fragment, reducing the tokens required for the subsequent AI prompt by up to 96%.
OpenViking Pro Setup
OpenViking Pro requires no local installation. You can integrate it into your Openclaw Skills workflow using standard HTTP requests. Obtain an API key from the official portal and use the following structure:
import requests
# Example: Saving context to the cloud
requests.post("https://api.openviking.pro/v1/memory/save", json={
"uri": "project/context-name",
"content": "Your technical documentation or project history here"
})
OpenViking Pro Data Schema & Taxonomy
The skill manages data through a streamlined API structure designed for rapid retrieval and minimal payload size:
| Endpoint | Action | Description |
|---|---|---|
/v1/memory/save |
POST | Compresses and persists data to the cloud storage |
/v1/memory/search |
POST | Executes a semantic search to return summarized context |
/v1/memory/list |
GET | Returns a directory of all stored memory URIs |
/v1/usage |
GET | Displays real-time statistics on token savings and API calls |
OpenViking Pro Advanced Features
- Multi-agent synchronization: Allows multiple instances of an agent to share the same knowledge base.
- Summary Level Control: Adjust the level of compression (e.g., Level 0 for pure summaries) to balance cost and detail.
- Team Sharing: Native support for collaborative environments where multiple developers use a shared memory pool.
- Platform Agnostic: Fully compatible with any IDE or agent framework that supports Openclaw Skills.
SKILL.md
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