OpenViking

https://www.openviking.ai/docs

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OpenViking is an open-source context database designed for AI Agents that unifies management of...

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### OpenViking Hierarchical Context Layers

Source: https://www.openviking.ai/docs

Shows the structure of context within a directory, including the L0 abstract, L1 overview, and L2 detail layers, with examples of file naming conventions.

```tree
viking://resources/my_project/
├── .abstract.md               # L0 layer: abstract
├── .overview.md               # L1 layer: overview
├── docs/
│   ├── .abstract.md          # Each directory has L0/L1 layers
│   ├── .overview.md
│   └── api.md                # L2 layer: full content
└── src/
```

--------------------------------

### OpenViking Client API Commands

Source: https://www.openviking.ai/docs

Demonstrates common client operations for interacting with OpenViking, including semantic search, listing directories, reading content, and retrieving abstract or overview layers.

```python
client.find("user authentication")       # Semantic search
```

```python
client.ls("viking://resources/")         # List directory
```

```python
client.read("viking://resources/doc")    # Read content
```

```python
client.abstract("viking://...")          # Get L0 abstract
```

```python
client.overview("viking://...")          # Get L1 overview
```

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### OpenViking File System Structure

Source: https://www.openviking.ai/docs

Illustrates the hierarchical organization of context types (resources, user, agent) within the OpenViking virtual file system, each with its own subdirectories.

```tree
viking://
├── resources/              # Resources: project docs, code repos, web pages
│   └── my_project/
├── user/                   # User: preferences, habits
│   └── memories/
└── agent/                  # Agent: skills, instructions, task memories
    ├── skills/
    └── memories/
```

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