Building a Self-Improving AI Agent with ClickHouse and MCP
Analysis
This article details an exciting project that focuses on transforming collected logs into valuable assets for an AI Agent. The implementation of a self-improving loop offers a promising approach to enhance the Agent's knowledge and capabilities over time. The project's emphasis on data utilization showcases innovative methods in AI development.
Key Takeaways
- •The project focuses on creating a 'self-improving' AI Agent.
- •The system leverages ClickHouse for efficient data management.
- •The core goal is to transform collected logs into usable knowledge.
Reference / Citation
View Original"In the latter half, we will transform the accumulated logs into "usable assets.""
Q
Qiita LLMJan 26, 2026 08:38
* Cited for critical analysis under Article 32.