Beyond RAG: Using Skill + CLI to Build Persistent Agent Knowledge

Retrieval‑Augmented Generation (RAG) is popular, but it has a fatal flaw: every request starts from scratch and the retrieved information is discarded after use. Consequently, agents that rely on RAG repeat the same mistakes in each session, because RAG only solves the problem of “temporary lookup” and cannot preserve accumulated experience.

To address this limitation, the author suggests rethinking the storage strategy for agents. Instead of following the traditional RAG workflow, each interaction should be persisted, reusable, and capable of evolving. Individual memories would aggregate into collective team knowledge, so the end of a conversation no longer marks the end of valuable experience.

The proposed solution is RDS ContextDB, which introduces a new path: abilities are defined with Skill , and the integration route is specified with a CLI command. With a single command, an agent can be connected to an enterprise knowledge base, allowing the agent to become increasingly knowledgeable about the business rather than constantly re‑learning the same information.

An upcoming event, Agentic DB Day, will be held on August 15 in Hangzhou. RDS ContextDB will be showcased in a full‑length presentation, including live demonstrations, in‑depth explanations, and real‑world scenarios, inviting participants to explore the next stage of agent storage.