17
+340
// summary
OpenViking is an open-source context database designed for AI Agents, aiming to solve the problems of context fragmentation and management difficulties in traditional RAG solutions. The project innovatively adopts a "file system paradigm" to unify the management of Agent memory, resources, and skills, thereby achieving more precise context retrieval. Through hierarchical loading and automatic session management, OpenViking can significantly reduce Token consumption and improve the task processing capabilities of Agents.
// use cases
01
Unified context management based on a file system paradigm, supporting the location and manipulation of memory and resources through standard commands.
02
Implementation of on-demand loading via a three-layer L0/L1/L2 architecture, significantly reducing Token costs while ensuring retrieval effectiveness.
03
Provision of visual retrieval traces to help developers observe the retrieval process and optimize the logic and performance of the Agent.