A high-efficiency memory adapter for OpenClaw that implements ByteDance's OpenViking architecture to optimize context window usage.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openviking-adapter
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openviking-adapter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The OpenViking Adapter is a sophisticated implementation of ByteDance's open-source AI memory system designed specifically for the Openclaw Skills ecosystem. It addresses the common challenge of information overload and high token costs in complex agent workflows. By utilizing a three-layer memory architecture, it ensures that agents retain critical context while filtering out unnecessary data, leading to a significant 83% reduction in token consumption and boosting task completion rates from 35% to 52%.
Install the adapter through the command line:
clawhub install openviking-adapter
Analyze your current memory footprint:
openclaw tools call openviking-adapter analyze_token_usage
Run the optimization process:
openclaw tools call openviking-adapter optimize_memory_loading
The adapter organizes memory into three distinct tiers for maximum efficiency:
| Tier | Identifier | Token Limit | Description |
|---|---|---|---|
| L0 | Soul Layer | ~100 | Core identity and personality summary |
| L1 | Overview Layer | ~2000 | Summarized historical context and key events |
| L2 | Detail Layer | Search-based | Granular memory fragments retrieved as needed |
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