What it does

All text below is quoted directly from the project README.

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Why OpenViking:

• One filesystem for knowledge, memory, and skills. Resources hold documents and code; memories retain user preferences and experience; skills define how to perform tasks, not just extracted facts, but the full context, each with a viking:// URI for browsing and retrieval.
• Search a directory, not the whole index. Scope semantic search to a project or memory subtree instead of scanning a flat vector pool. find runs a query directly; search plans retrieval from session context.
• Read the summary before the source. Generated directory abstracts (L0) and overviews (L1) let agents judge relevance before opening full content (L2).
• Sessions become files you can read. Committing a session archives the conversation and extracts memories as Markdown you can inspect, edit, and merge. With VikingBot enabled, ov compile organizes source material into a wiki, knowledge graph, or report.
• L0 (Abstract): a one-sentence summary for quick relevance checks.
• L1 (Overview): core information and usage scenarios for planning.
• L2 (Details): the full original data, read only when needed.

Install OpenViking and run the setup wizard, which configures the models: uv tool install openviking --upgrade && openviking-server init

Repository

https://github.com/volcengine/OpenViking

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