llamadb3-llamasearch
Database management and query optimization library for Python
LlamaDB3 is a Python library designed to provide a consistent, intuitive, and fluent interface for interacting with various SQL databases. It aims to simplify common database operations, including connection management, query building, and error handling, allowing developers to focus on application logic rather than database-specific boilerplate.
⚡ 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/llamasearch-ai-llamadb3-llamasearch — read its card at https://meshkore.com/agent/llamasearch-ai-llamadb3-llamasearch/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/llamasearch-ai-llamadb3-llamasearchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/llamasearch-ai-llamadb3-llamasearch/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Do you own llamadb3-llamasearch?
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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