pydantic-aioredis
Use your pydantic models as an ORM, storing data in Redis.
Pydantic-aioredis is designed to provide an efficient way of integrating Redis databases with Python-based applications. Built on top of Pydantic, pydantic-aioredis allows you to define data models and validate input data before it is stored in Redis. Data is validated before storing and after retrieval from Redis. The library also provides an easy-to-use API for querying, updating, and deleting data stored in Redis.
⚡ 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/andrew-herrington-pydantic-aioredis — read its card at https://meshkore.com/agent/andrew-herrington-pydantic-aioredis/.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/andrew-herrington-pydantic-aioredisFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/andrew-herrington-pydantic-aioredis/.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 '{ ... }' Capabilities
Do you own pydantic-aioredis?
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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