Wrap agents with Qdrant-backed memory context for persistent recall.
npx skills add https://github.com/mindmorass/reflex --skill rag-wrapper
Please help me install this Agent Skill. Skill: rag-wrapper Source: https://github.com/mindmorass/reflex/tree/main/plugins/reflex/skills/rag-wrapper Command: npx skills add https://github.com/mindmorass/reflex --skill rag-wrapper
This skill wraps any agent with Qdrant-backed memory context to enable persistent recall.
Use rag-wrapper to wrap an agent with Qdrant context and then delegate tasks to the wrapped agent.
High-intent search queries and answers about installing and using this skill.
Wrap your agent with rag-wrapper to attach Qdrant-backed memory context. The wrapper prepends retrieved documents to prompts before delegation, enabling the agent to recall stored project knowledge across sessions without modifying the agent's core logic.
Yes. RAG-wrapper injects Qdrant-retrieved context into prompts before task execution, allowing agents to reference and build on prior decisions stored in the vector database across multiple sessions.
You need access to a running Qdrant vector store, a target agent to wrap, and a mechanism to feed retrieved context into prompts. The wrapper handles context retrieval and prepending, so no additional dependencies are required.
The wrapper queries Qdrant for relevant stored documents, prepends matched context to the prompt, and delegates the enriched task to the agent. This enables multi-step projects to retrieve and apply accumulated knowledge automatically across task execution.
Yes. It's designed for memory-enabled assistants and workflows where agents must retain and reference project knowledge across separate sessions, making it ideal for long-running tasks and iterative decision-making scenarios.
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