OpenViking (OV) `add-resource`

Context and Instructions (TBD)

Add metadata to guide processing: --reason and --instruction will be supported in the future.

Async Processing Control

The time of adding resources could cost long (like minutes), and the semantic processing could be async. Use --wait to wait for the processing to complete.

# Wait until semantic processing finishes
ov add-resource ./docs --wait

# Wait with timeout (in seconds)
ov add-resource https://example.com/docs --wait --timeout 60

# Fire and forget (default, without --wait)
ov add-resource ./docs

If you fire and forget, the command will return after the resource is completely downloaded/uploaded on server, and then the CLI will return the root URI of the imported resource. To check the status of the resource, you can use ov ls or ov tree to list the resources under root URI or viking://resources/.

Specify the target path

By default, resources are imported under viking://resources/. Use --to or --parent to specify a target uri.

# The data will be imported as viking://resources/2026/2026-01-01/, which should not exist before
ov add-resource /User/volcengine/Photo/Travels/2026/2026-01-01/ --to "viking://resources/2026/2026-01-01/"

# The data will be imported under viking://resources/2026, which should exist and be a directory
ov add-resource /User/volcengine/Photo/Travels/2026/2026-01-02/ --parent "viking://resources/2026/"

CLI Output

Returns the root URI of the imported resource, like:

root_uri  viking://resources/2026/2026-01-01

CLI Prerequisites

• CLI configured in: ~/.openviking/ovcli.conf
• Network access for the importing URL from server
• Local read access for the importing local files/directories from CLI.

OpenViking (OV) add-memory

The ov add-memory command adds long persistant memory — turning text and structured conversations into searchable, retrievable memories in the OpenViking context database. Use ov add-memory --help for latest usage.

When to Use

• After learning something worth remembering across sessions
• To persist conversation insights, decisions, or findings
• To build up a knowledge base from interactions
• When an agent wants to store context for future retrieval

Input Modes

choose wisely between plain text and multi-turn mode. Multi-turn mode can contain more complex insights, let openviking handle the memory extraction.

Mode 1: Plain Text for compressed memory

A simple string is stored as a user message:

ov add-memory "User's name is Bob, he participate in Global Hackathon in 2025-01-08, and won Champion."

Mode 2: Multi-turn Conversation for Richer Context

A JSON array of {role, content} objects to store a full exchange:

ov add-memory '[
  {"role": "user", "content": "I love traveling. Give me some options of Transport from Beijing to Shanghai."},
  {"role": "assistant", "content": "You can use train, bus, or plane. Train is the fastest, but you need to book in advance. Bus is cheaper, but you need to wait. Plane is the most expensive, but you can get there any time of day."},
  {"role": "user", "content": "I prefer train. I like sightseeing on the train. Can you give me the train schedule?"},
  < ... more possible conversation about schedule and tickest need to be memorized ... >
]'

Output

Returns count of memory extracted:

memories_extracted   1

Agent Best Practices

How to Write Good Memories

1. Be specific — Include concrete details, not vague summaries
2. Include context — Why this matters, when it applies
3. Use structured format — Separate the what from the why

Batch Related Facts

Group related memories in one call rather than many small ones:

ov add-memory '[
  {"role": "user", "content": "Key facts about the ov_cli Rust crate"},
  {"role": "assistant", "content": "1. runs faster than python cli\n2. uses HttpClient to connect openviking server\n3. Output formatting supports table and JSON modes\n4. Config lives at ~/.openviking/ovcli.conf"}
]'

Prerequisites

• CLI configured: ~/.openviking/ovcli.conf

OpenViking (OV) add-skill

The ov add-skill command adds agent capabilities to OpenViking — supporting SKILL.md files, MCP tool definitions, and raw skill content. Skills are automatically processed and organized under the viking://agent/skills/ namespace, making them discoverable and usable by agents.

When to Use

• Adding custom agent capabilities and workflows
• Importing MCP (Model Context Protocol) tools
• Persisting skill definitions across agent sessions
• Building a library of reusable agent capabilities
• When an agent needs to extend its toolset with custom logic

Input Formats

Mode 1: SKILL.md File

Import from a single SKILL.md file with YAML frontmatter:

# Add from a single SKILL.md file
ov add-skill ./skills/my-skill/SKILL.md

# Add from a directory containing SKILL.md (includes auxiliary files)
ov add-skill ./skills/my-skill/

CLI Options

Async Processing Control

Semantic processing happens asynchronously. Use --wait to block until complete:

# Wait until semantic processing finishes
ov add-skill ./skills/my-skill/ --wait

# Wait with timeout (in seconds)
ov add-skill ./skills/my-skill/ --wait --timeout 60

# Fire and forget (default, without --wait)
ov add-skill ./skills/my-skill/

CLI Output

Returns the URI of the added skill, like:

uri  viking://agent/skills/my-skill/

SKILL.md Format

Skills use Markdown with YAML frontmatter:

---