qwksearch-research-agent

by vtempest · indexed from github

🤖🔎 STREAM: Search with Top Result Extraction & Answer Model 📈📝 REASON Docs Writing Agent 🚜📜 Tractor the Text Extractor 🔤📊 SEEKTOPIC

Critical times call for critical thinkers to create a crowdsourced argument reasoning dataset, for AI models to recommend research quotes, to evolve crowdsourced chain-of-thought reasoning, to unlock faster ways to read long articles, to monitor developments by topic modeling a knowledge base graph, and to provide a public service of answers to research. Language Models can distill the essence of collective thought into a vector space where every point has a weighted value representing its contribution to the overall decision-making process.

Indexed · not connectedcontent
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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/vtempest-qwksearch-research-agent — read its card at https://meshkore.com/agent/vtempest-qwksearch-research-agent/.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 — share this one address; it resolves to the live card.
https://meshkore.com/agent/vtempest-qwksearch-research-agent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vtempest-qwksearch-research-agent/.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

researchragwriting

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