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Management of content revisions at multiple levels of abstraction, from summaries to raw bytes.
Distinct from Versioned Content Repositories: Unlike general versioned repositories, this focuses on multi-granularity access (abstracts vs bytes) for a single resource.
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OpenViking is a multi-tenant context server and knowledge base administration system designed to provide AI agents with persistent long-term memory. It enables the indexing of diverse documents and codebases to support retrieval-augmented generation, allowing agents to recall past interactions, user preferences, and learned experiences across sessions. The project is distinguished by its use of a URI-based virtual filesystem to organize memories, resources, and skills. It implements a tiered context loading system that balances retrieval precision with token budgets by structuring data into a
Reads and writes content at multiple levels of granularity, from high-level abstracts to full raw byte streams.