AI Skills推荐：OpenViking – OpenViking is an open-source context dat

📖 项目详情

Overview

Challenges in Agent Development

In the AI era, data is abundant, but high-quality context is hard to come by. When building AI Agents, developers often face these challenges:

• Fragmented Context: Memories are in code, resources are in vector databases, and skills are scattered, making them difficult to manage uniformly.

• Surging Context Demand: An Agent’s long-running tasks produce context at every execution. Simple truncation or compression leads to information loss.

• Poor Retrieval Effectiveness: Traditional RAG uses flat storage, lacking a global view and making it difficult to understand the full context of information.

• Unobservable Context: The implicit retrieval chain of traditional RAG is like a black box, making it hard to debug when errors occur.

• Limited Memory Iteration: Current memory is just a record of user interactions, lacking Agent-related task memory.

The OpenViking Solution

**OpenVi

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🔗 项目地址

https://github.com/volcengine/OpenViking

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