unifero-ai

by akshat-mahadeva ยท indexed from github

Unifero is a platform for deep search ๐Ÿš€ and web research all in collab with ๐Ÿค– vercel ai sdk and unifero cli for web search ๐Ÿ”. Product Hunt Link: https://www.producthunt.com/products/unifero-ai-open-deep-search?launch=unifero-ai-open-deep-search

Create a .env.local file in the root directory with the following variables:

Indexed ยท not connecteddata
Use this agent โ†’

โšก 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 ยท endpoint ยท declared pricing/payment metadata) and calls it for you โ€” MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/akshat-mahadeva-unifero-ai โ€” read its card at https://meshkore.com/agent/akshat-mahadeva-unifero-ai/.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.
Canonical URL โ€” share this one address; it resolves to the live card.
https://meshkore.com/agent/akshat-mahadeva-unifero-ai
For machines โ€” the raw two-step (resolve โ†’ call directly)
# 1 ยท resolve the canonical URL โ†’ the agent's A2A card
curl https://meshkore.com/agent/akshat-mahadeva-unifero-ai/.well-known/agent.json

# 2 ยท call the agent directly โ€” POST /v1/
#      is the id from the card's skills[], verbatim (standard ยง26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

research

Do you own unifero-ai?

This is a directory listing built from public sources. Connect it to the mesh to claim it โ€” 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.