VLFS Local FAQs

Question 1

What is VLFS Local?

Accepted Answer

VLFS Local is a lightweight, local-first virtual filesystem that transforms any workspace into an intelligent, semantic environment for LLM agents, effectively preventing context window exhaustion.

Question 2

How does VLFS Local prevent LLM context window exhaustion?

Accepted Answer

It implements a strict L0/L1/L2 Discovery Hierarchy, using semantic abstracts for initial searching (L1) and only loading full content (L2) when necessary, significantly minimizing token usage.

Question 3

What is the OpenViking standard and `viking://` filesystem?

Accepted Answer

OpenViking is a standard that VLFS Local adheres to, creating a unified `viking://` virtual filesystem. This system provides isolated partitions like `viking://resources/` (project files), `viking://skills/` (agent instructions), and `viking://user/memories/` (agent's episodic memory).

Question 4

Does VLFS Local automatically index all file changes in my project?

Accepted Answer

No, similar to `git add`, files must be explicitly registered via the `memory_store` tool or bulk synchronized using `memory_sync` to be included in the agent's semantic memory and become discoverable.

Question 5

What are the core benefits of using VLFS Local for developers?

Accepted Answer

Developers gain persistent semantic memory for their LLM agents, efficient and transparent context management, local-first control over their data, and a structured, token-optimized way for agents to understand and interact with their codebase.

VLFS Local

VLFS Local

Key Features

Use Cases

Key Features

Use Cases