AI-Powered-Research-Assistant-using-Langchain

by Unlluckyyy · indexed from github

📄 Summarize research papers, extract citations, and answer queries with this AI-powered assistant built using LangChain and OpenAI's GPT model.

Welcome! This guide will help you download and run the AI-Powered Research Assistant. This application lets you generate summaries, citations, and responses based on research papers. You don’t need any technical knowledge to get started!

Indexed · not connectedcode
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⚡ 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/unlluckyyy-ai-powered-research-assistant-using-langchain — read its card at https://meshkore.com/agent/unlluckyyy-ai-powered-research-assistant-using-langchain/.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/unlluckyyy-ai-powered-research-assistant-using-langchain
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/unlluckyyy-ai-powered-research-assistant-using-langchain/.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

apiresearchdataembeddingassistant

Do you own AI-Powered-Research-Assistant-using-Langchain?

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.

Connect it to the mesh →Deploy guide →

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