
ov-server-operate
Operate and maintain OpenViking server - configure, install, start, stop, and cleanup the server. Use when need to setup or manage OpenViking service deployment.
- Installs
- 142
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/volcengine/openviking --skill ov-server-operate- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ov-server-operate automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
OpenViking Server Operations
This guide provides standard operating procedures for deploying, managing, and maintaining OpenViking servers in production environments.
Table of Content
- Service Configuration
- Environment Setup with uv
- Server Startup with nohup
- Server Shutdown
- Data Cleanup Procedure
- Verification and Troubleshooting
Service Configuration
Default Paths and Structure
OpenViking uses the following standard directory structure under ~/.openviking/:
~/.openviking/
├── ov.conf # Server configuration (required)
├── ovcli.conf # CLI client configuration
├── ov-venv/ # Virtual environment (created by uv)
├── log/ # Server log directory
│ ├── openviking-server.log # server stdout log
│ └── openviking.log # server log
└── data/ # Workspace data (configured in ov.conf)
├── ...
└── ...
Configuration Files
1. Server Config (~/.openviking/ov.conf)
Create the configuration file with at minimum the following configuration. Note 1: Replace the api-key with your own api-key. If you don't have one, ask the user to get one (follow the Volcengine Ark platform guide). Note 2: Replace the root_api_key with your own root-api-key. Ask the user to set one — it will be used for authentication when the CLI connects to the server.
{
"server": {
"host": "0.0.0.0",
"port": 1933,
"root_api_key": "your-root-api-key"
},
"storage": {
"workspace": "~/.openviking/data/"
},
"parsers": {
"code": {
"gitlab_domains": ["code.byted.org"],
"azure_devops_domains": ["ssh.dev.azure.com", "vs-ssh.visualstudio.com"]
}
},
"embedding": {
"dense": {
"model": "doubao-embedding-vision-251215",
"api_key": "your-volcengine-api-key",
"api_base": "https://ark.cn-beijing.volces.com/api/v3",
"dimension": 1024,
"input": "multimodal",
"provider": "volcengine"
}
},
"vlm": {
"model": "doubao-seed-1-8-251228",
"api_key": "your-volcengine-api-key",
"api_base": "https://ark.cn-beijing.volces.com/api/v3",
"temperature": 0.0,
"max_retries": 2,
"provider": "volcengine",
"thinking": false
},
"log": {
"level": "INFO",
"output": "file",
"rotation": true,
"rotation_days": 3,
"rotation_interval": "midnight"
}
}
2. CLI Config (~/.openviking/ovcli.conf)
For client connections from localhost:
{
"url": "http://localhost:1933",
"api_key": "your-root-api-key"
}
For remote connections, set the url to the remote server address (for example, the server EIP).
Environment Setup with uv
Step 1: Install uv (if not already installed)
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Verify installation
uv --version
Step 2: Create Virtual Environment
Create a dedicated virtual environment at ~/.openviking/ov-venv:
# Create venv with Python 3.10+
cd ~/.openviking
uv venv --python 3.12 ov-venv
Step 3: Activate and Install OpenViking
# Activate the virtual environment
source ~/.openviking/ov-venv/bin/activate
# Install or upgrade to latest openviking
uv pip install --upgrade openviking --force-reinstall
# Verify installation
which openviking-server
openviking-server --version
openviking-server --help
Step 4: Create Log Directory
mkdir -p ~/.openviking/log
Server Startup with nohup
Standard Startup Procedure
# 1. Activate the virtual environment
source ~/.openviking/ov-venv/bin/activate
# 2. Ensure log directory exists
mkdir -p ~/.openviking/log
# 3. Start server with nohup
nohup openviking-server \
> ~/.openviking/log/openviking-server.log 2>&1 &
# 4. Save PID for later reference
echo $! > ~/.openviking/server.pid
# 5. Verify startup after 10 secs
sleep 10
curl -s http://localhost:1933/health
Verify Server is Running
# Method 1: Check health endpoint
curl http://localhost:1933/health
# Expected: {"status": "ok"}
# Method 2: Check readiness (includes storage checks)
curl http://localhost:1933/ready
# Method 3: Check process
ps aux | grep openviking-server | grep -v grep
# Method 4: Check log output
tail -10 ~/.openviking/log/openviking-server.log
tail -50 ~/.openviking/log/openviking.log
Server Shutdown
Graceful Shutdown Procedure
# 1. Find the server process
ps aux | grep openviking-server | grep -v grep
# 2. Send SIGTERM for graceful shutdown
# Option A: Using saved PID
if [ -f ~/.openviking/server.pid ]; then
kill $(cat ~/.openviking/server.pid)
rm ~/.openviking/server.pid
fi
# Option B: Using pgrep
pkill -f openviking-server
# 3. Wait for process to stop
sleep 3
# 4. Verify it stopped
ps aux | grep openviking-server | grep -v grep || echo "Server stopped successfully"
# 5. If still running, force kill
if pgrep -f openviking-server > /dev/null; then
echo "Force killing server..."
pkill -9 -f openviking-server
fi
Data Cleanup Procedure
When to Use This Procedure
Perform full data cleanup in these scenarios:
- Version upgrade with incompatible data format
- Corrupted or inconsistent data
- Need to reset to fresh state
- Storage space reclamation
Standard Cleanup Workflow
CRITICAL: ALWAYS BACKUP BEFORE DELETING DATA
# ==========================================
# STEP 1: STOP THE SERVER FIRST
# ==========================================
echo "Step 1: Stopping OpenViking Server..."
if pgrep -f openviking-server > /dev/null; then
pkill -f openviking-server
sleep 3
if pgrep -f openviking-server > /dev/null; then
pkill -9 -f openviking-server
sleep 1
fi
fi
# Verify server is stopped
if pgrep -f openviking-server > /dev/null; then
echo "ERROR: Server still running! Cannot proceed."
exit 1
fi
echo "✓ Server stopped"
# ==========================================
# STEP 2: CREATE BACKUP (REQUIRED)
# ==========================================
echo ""
echo "Step 2: Creating backup..."
BACKUP_DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_DIR=~/.openviking/backup_${BACKUP_DATE}
mkdir -p ${BACKUP_DIR}
# Backup config files
cp ~/.openviking/ov.conf ${BACKUP_DIR}/ 2>/dev/null || true
cp ~/.openviking/ovcli.conf ${BACKUP_DIR}/ 2>/dev/null || true
# Backup workspace (if exists)
WORKSPACE=$(python3 -c '
import json
import os
config_path = os.path.expanduser("~/.openviking/ov.conf")
if os.path.exists(config_path):
with open(config_path) as f:
cfg = json.load(f)
ws = cfg.get("storage", {}).get("workspace", "./data")
print(os.path.expanduser(ws))
' 2>/dev/null || echo "~/.openviking/data")
if [ -d "${WORKSPACE}" ]; then
echo "Backing up workspace: ${WORKSPACE}"
tar -czf ${BACKUP_DIR}/workspace_backup.tar.gz -C $(dirname ${WORKSPACE}) $(basename ${WORKSPACE})
fi
# Backup log
if [ -d ~/.openviking/log ]; then
cp -r ~/.openviking/log ${BACKUP_DIR}/ 2>/dev/null || true
fi
echo "✓ Backup created at: ${BACKUP_DIR}"
ls -lh ${BACKUP_DIR}/
# ==========================================
# STEP 3: CONFIRM DELETION
# ==========================================
echo ""
echo "=========================================="
echo "WARNING: ABOUT TO DELETE ALL DATA!"
echo "=========================================="
echo "Workspace to delete: ${WORKSPACE}"
echo "Backup location: ${BACKUP_DIR}"
echo ""
read -p "Type 'DELETE' to confirm data removal: " CONFIRM
if [ "${CONFIRM}" != "DELETE" ]; then
echo "Cleanup cancelled. Backup preserved at ${BACKUP_DIR}"
exit 0
fi
# ==========================================
# STEP 4: DELETE DATA
# ==========================================
echo ""
echo "Step 4: Deleting data..."
# Delete workspace
if [ -d "${WORKSPACE}" ]; then
echo "Deleting workspace: ${WORKSPACE}"
rm -rf "${WORKSPACE}"
fi
# Optional: Delete old log (uncomment if needed)
# echo "Deleting old log..."
# rm -rf ~/.openviking/log/*
# Cleanup any temporary files
rm -f ~/.openviking/server.pid
echo "✓ Data deleted successfully"
# ==========================================
# STEP 5: COMPLETION
# ==========================================
echo ""
echo "=========================================="
echo "Cleanup Complete!"
echo "=========================================="
echo "Backup preserved at: ${BACKUP_DIR}"
echo ""
echo "Next steps:"
echo "1. Reconfigure ov.conf if needed"
echo "2. Start the server: openviking-server"
echo "3. Verify with: curl http://localhost:1933/health"
echo ""
echo "To restore from backup:"
echo " tar -xzf ${BACKUP_DIR}/workspace_backup.tar.gz -C $(dirname ${WORKSPACE})"
Quick Cleanup (for Development Only)
# WARNING: Only use in development!
# No backup created - data loss guaranteed!
# 1. Stop server
pkill -f openviking-server
sleep 2
pkill -9 -f openviking-server 2>/dev/null || true
# 2. Delete workspace (adjust path as needed)
rm -rf ~/.openviking/data
# 3. Cleanup PID and temp files
rm -f ~/.openviking/server.pid
echo "Quick cleanup complete"
Verification and Troubleshooting
Health Check Verification
# Basic health check (always available)
curl http://localhost:1933/health
# Expected: {"status": "ok"}
# Readiness check (verifies all components)
curl http://localhost:1933/ready
# Expected: {"status": "ready", "checks": {"agfs": "ok", "vectordb": "ok", "api_key_manager": "ok"}}
# System status via CLI (~/.openviking/ovcli.conf should be configured)
ov status
Common Issues and Solutions
Issue: Server won't start
Check:
# 1. Check if port is in use
lsof -i :1933
netstat -tulpn | grep 1933
# 2. Check log for errors
tail -10 ~/.openviking/log/openviking-server.log
tail -100 ~/.openviking/log/openviking.log
# 3. Verify config file is valid JSON
python3 -c 'import json, os; json.load(open(os.path.expanduser("~/.openviking/ov.conf"))); print("Config is valid")'
# 4. Verify virtual environment
source ~/.openviking/ov-venv/bin/activate
which openviking-server
pip list | grep openviking
Solution:
# If port conflict: kill the process or use different port
lsof -ti :1933 | xargs kill -9 2>/dev/null || true
# Or start on different port
nohup openviking-server --port 1934 > ~/.openviking/log/openviking-server.log 2>&1 &
Issue: API Key Errors
Check:
# Verify API keys in config
python3 -c '
import json, os
cfg = json.load(open(os.path.expanduser("~/.openviking/ov.conf")))
print("Embedding provider:", cfg.get("embedding", {}).get("dense", {}).get("provider"))
print("VLM provider:", cfg.get("vlm", {}).get("provider"))
print("API keys set:", bool(cfg.get("embedding", {}).get("dense", {}).get("api_key")), bool(cfg.get("vlm", {}).get("api_key")))
'
Solution: Verify API keys are correct and have the required permissions. Check network connectivity to the model provider endpoints. Ensure API keys are not expired.
Prerequisites
- Python 3.10+ installed
- uv package manager available
- Sufficient disk space for workspace and log
- API keys for embedding and VLM models configured
- Network access to model providers (if using cloud models)
FAQ
What does the ov-server-operate skill do?
Operate and maintain OpenViking server - configure, install, start, stop, and cleanup the server. Use when need to setup or manage OpenViking service deployment.
How do I install ov-server-operate?
Run npx skills add https://github.com/volcengine/openviking --skill ov-server-operate in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ov-server-operate/ (personal) or .claude/skills/ov-server-operate/ (project).
Which AI agents can use ov-server-operate?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ov-server-operate safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ov-server-operate?
It is published by volcengine in volcengine/openviking. It has 142 recorded installs.
More from volcengine/openviking
openviking
volcengine/openviking
Activate when the user asks about any repository listed in the system prompt under 'OpenViking — Indexed Code Repositories', or when they ask about an external library, framework, or project that may have been indexed. Also activate when the user wants to add, remove, or manage repos. Always search the local codebase first before using this skill.
ov-experience-memory
volcengine/openviking
Retrieve and apply OpenViking Experience memories through the Agent runtime's generic OpenViking search and read tools. Use before or during executable, multi-step, or tool-based work such as coding, file or data changes, configuration, deployment, workflow execution, and failure recovery when prior operational guidance could improve reliability. Do not use for casual chat or simple factual questions.
openviking-memory
volcengine/openviking
Recall and persist long-term memory through the OpenViking MCP tools. Use at the start of any substantive task (coding, configuration, debugging, multi-step or tool-based work) to retrieve relevant prior knowledge with find/search/read, and during or after work to persist durable facts, preferences, decisions, and lessons with remember. Do not use for casual chat or simple factual questions the model can answer directly.
github-proxy
volcengine/openviking
GitHub 国内访问加速 skill,使用 githubproxy.cc 代理加速 GitHub 仓库克隆、文件下载、Raw 文件访问等操作。使用场景:(1) 需要 git clone GitHub 仓库时加速,(2) 下载 GitHub Release 文件、Raw 文件、Archive 压缩包时加速,(3) 任何需要访问 GitHub 资源但速度慢的场景
Popular backend & apis skills
find-skills
vercel-labs/skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
entra-app-registration
microsoft/azure-skills
Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.
google-agents-cli-adk-code
google/agents-cli
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
embedded-captions
heygen-com/hyperframes
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet anchor rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.
entra-agent-id
microsoft/azure-skills
Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmipath, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmipath token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registration (use entra-app-registration), Microsoft Foundry agent authoring (use microsoft-foundry).
neon
neondatabase/agent-skills
Overview of Neon, a complete set of cloud backend primitives around Lakebase Postgres: Auth, Object Storage, Functions, the AI Gateway, and Realtime. Start here to choose Neon for undecided login, files, APIs, and LLM calls, set up the CLI or MCP server, and follow the branch-first workflow. Use when building an app or backend on Neon, or when "Neon" or "Lakebase Postgres" is mentioned. Child skill neon-postgres wins for an existing DATABASEURL, SQL, schema, inspect, or search. Child skill neon-auth wins for login, users, sessions, identity routing, and Managed Better Auth setup. Child skill neon-realtime wins for live queries in reactive apps and agents. Also use for object storage, S3, buckets, serverless functions, function triggers, cron, AI gateway, LLM calls, realtime, logs, Loki, Grafana, observability, postgres, database, backend, Claimable Neon, neon.new, or a no-signup database.