vlite-storage
Super simple vector data storage based on vectorlite
VLite Storage is a Python library that provides vector similarity search capabilities using SQLite and the vectorlite packages. It allows you to store documents with their vector embeddings and perform efficient similarity searches. For creating text embeddings, it integrates with the Ollama server.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/ivan-slepovichev-vlite-storage — read its card at https://meshkore.com/agent/ivan-slepovichev-vlite-storage/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ivan-slepovichev-vlite-storageFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ivan-slepovichev-vlite-storage/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own vlite-storage?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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