Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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OpenViking long-term memory plugin guide. Once installed, the plugin automatically remembers important facts from conversations and recalls relevant context before responding.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
afterTurn (end of one user turn run), automatically extracts memories from user/assistant messages
semantic mode: captures all qualifying user text, relying on OpenViking's extraction pipeline to filterkeyword mode: only captures text matching trigger words (e.g. "remember", "preference", etc.)before_prompt_build, automatically searches for relevant memories and injects them into contextSearches long-term memories in OpenViking, returns relevant results.
| Parameter | Required | Description |
|---|---|---|
query | Yes | Search query text |
limit | No | Maximum number of results (defaults to plugin config) |
scoreThreshold | No | Minimum relevance score 0-1 (defaults to plugin config) |
targetUri | No | Search scope URI (defaults to plugin config) |
Example: User asks "What programming language did I say I like?"
Writes text to an OpenViking session and runs memory extraction.
| Parameter | Required | Description |
|---|---|---|
text | Yes | Information text to store |
role | No | Session role (default user) |
sessionId | No | Existing OpenViking session ID |
Example: User says "Remember my email is xxx@example.com"
Delete by exact URI, or search and delete.
| Parameter | Required | Description |
|---|---|---|
uri | No | Exact memory URI (direct delete) |
query | No | Search query (find then delete) |
targetUri | No | Search scope URI |
limit | No | Search limit (default 5) |
scoreThreshold | No | Minimum relevance score |
Example: User says "Forget my phone number"
| Field | Default | Description |
|---|---|---|
mode | remote | local (start local server) or remote (connect to remote) |
baseUrl | http://127.0.0.1:1933 | OpenViking server URL (remote mode) |
apiKey | — | OpenViking API Key (optional) |
agentId | default | Identifies this agent to OpenViking |
configPath | ~/.openviking/ov.conf | Config file path (local mode) |
port | 1933 | Local server port (local mode) |
targetUri | viking://user/memories | Default search scope |
autoCapture | true | Automatically capture memories |
captureMode | semantic | Capture mode: semantic / keyword |
captureMaxLength | 24000 | Maximum text length per capture |
autoRecall | true | Automatically recall and inject context |
recallLimit | 6 | Maximum memories injected during auto-recall |
recallScoreThreshold | 0.01 | Minimum relevance score for recall |
ingestReplyAssist | true | Add reply guidance when detecting multi-party conversation text |
# Start (local mode: source env first)
source ~/.openclaw/openviking.env && openclaw gateway
# Start (remote mode: no env needed)
openclaw gateway
# Check status
openclaw status
openclaw config get plugins.slots.contextEngine
# Disable memory
openclaw config set plugins.slots.contextEngine legacy
# Enable memory
openclaw config set plugins.slots.contextEngine openviking
Restart the gateway after changing the slot.
If you have multiple OpenClaw instances, use --workdir to target a specific one:
# Install script
curl -fsSL ... | bash -s -- --workdir ~/.openclaw-openclaw-second
# Setup helper
npx ./examples/openclaw-plugin/setup-helper --workdir ~/.openclaw-openclaw-second
# Manual config (prefix openclaw commands)
OPENCLAW_STATE_DIR=~/.openclaw-openclaw-second openclaw config set ...
| Symptom | Cause | Fix |
|---|---|---|
extracted 0 memories | Wrong API Key or model name | Check api_key and model in ov.conf |
port occupied | Port used by another process | Change port: openclaw config set plugins.entries.openviking.config.port 1934 |
| Plugin not loaded | Env file not sourced or slot not configured | Check openclaw status output |
| Inaccurate recall | recallScoreThreshold too low | Increase threshold or adjust recallLimit |
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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