Give an AI agent your Qdrant instance as a tool and it can manage its own search index and long-term memory while it works. It can create a collection, upsert points, run a vector query or a recommendation, retrieve or scroll matching records, and set or clear payload metadata on its own, calling each operation as a tool. That turns retrieval from a fixed pipeline into something the agent drives directly, storing what it learns and searching it back when it needs context.
Pick the operations you want and each becomes a tool the agent can call directly while it works.
Find the most similar points to a query vector (similarity search).
Insert or overwrite points in a collection.
Retrieve points by their IDs.
Delete points by ID or by filter.
Scroll through all points in a collection with optional filter and cursor-based pagination.
Count points in a collection, with optional filter.
Find points similar to positive examples and dissimilar from negative examples.
List all collections.
Get detailed info and stats for a single collection.
Create a new collection.
Update collection parameters (optimizers, HNSW, quantization).
Delete a collection and all its points permanently.
Set (merge) payload fields on points selected by IDs or filter.
Delete specific payload keys from points.
Remove all payload from points selected by IDs or filter.
Create a payload field index to speed up filtered searches.
Delete a payload field index.
Upload a document file, chunk + embed it, and upsert the points.
OpenClaw is an open command-line agent. NoClick runs it hosted and lets you connect your apps to it as tools, so it can take real actions across your systems. Wire an integration into the agent and OpenClaw can call that app’s operations directly. It is a good fit when you want an open, no-fuss agent with real tool access and nothing to install.
NoClick runs OpenClaw for you with Qdrant wired in as tools. Connect your account and run.