alfred-ai
Retrieval-augmented conversational AI on Cloudflare's edge: SSE streaming, Vectorize RAG, KV-backed memory, and an in-worker abuse guard. The deployed face of my multi-agent, DAG-orchestrated system.
I built Alfred end to end. It's a retrieval-augmented conversational AI that runs entirely at the network edge, with no origin server in the path. Every message hits a Cloudflare Worker, clears an in-worker abuse guard (per-IP token-bucket rate limiting, flood detection, automatic bans), gets grounded against a Vectorize vector index for RAG, threaded with conversation state from Workers KV, then streamed back token by token over Server-Sent Events. It's the public front end of the multi-agent, DAG-orchestrated system I architected.
⚡ 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/tusharbeckham-alfred-ai — read its card at https://meshkore.com/agent/tusharbeckham-alfred-ai/.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/tusharbeckham-alfred-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tusharbeckham-alfred-ai/.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 alfred-ai?
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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