# OpenViking

[Product Introduction] OpenViking is an open source context database designed specifically for AI Agents. It abandons the fragmented vector storage model of traditional RAG and innovatively adopts the "file system paradigm" to uniformly manage the Agent's memory, resources and skills. Through structured information organization, OpenViking is committed to solving problems such as context fragmentation, excessive token consumption, and unexplainable retrieval processes, helping developers build intelligent agents with long-term memory and self-evolution capabilities. [Product Features] File system paradigm: Map the context into a virtual file directory through the viking:// protocol, supporting standardized operations and unified management of memory and resources. Hierarchical context loading: Adopt L0(Abstract)/L1(Overview)/L2(Details) three-level loading strategy to obtain information on demand and significantly reduce Token costs. Directory recursive retrieval: Combining intent analysis, vector positioning and recursive drill-down, it provides a more accurate and global structured retrieval than single vector retrieval. Observable and self-evolving: supports full visual tracking of retrieval trajectories, and can automatically extract experience from conversational interactions to realize self-iteration of Agent memory. Project open source address: https://github.com/volcengine/OpenViking

[Product Introduction] OpenViking is an open source context database designed specifically for AI Agents. It abandons the fragmented vector storage model of traditional RAG and innovatively adopts the "file system paradigm" to uniformly manage the Agent's memory, resources and skills. Through structured information organization, OpenViking is committed to solving problems such as context fragmentation, excessive token consumption, and unexplainable retrieval processes, helping developers build intelligent agents with long-term memory and self-evolution capabilities. [Product Features] File system paradigm: Map the context into a virtual file directory through the viking:// protocol, supporting standardized operations and unified management of memory and resources. Hierarchical context loading: Adopt L0(Abstract)/L1(Overview)/L2(Details) three-level loading strategy to obtain information on demand and significantly reduce Token costs. Directory recursive retrieval: Combining intent analysis, vector positioning and recursive drill-down, it provides a more accurate and global structured retrieval than single vector retrieval. Observable and self-evolving: supports full visual tracking of retrieval trajectories, and can automatically extract experience from conversational interactions to realize self-iteration of Agent memory. Project open source address: https://github.com/volcengine/OpenViking

Canonical: https://uniquebase.ai/products/openviking-1
Stable identifier: UB-D8074
Snapshot captured: 2026-10-29T00:45:28.937Z
English updated: 2026-10-29T00:52:59.057Z

## Connected profiles

- [OpenViking](/companies/openviking)

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