thinkai
An LLM app with Retrieval Augmented Generation (RAG) built using OpenAI GPT models, Langchain Tokenizers, HuggingFace transformers, and Meta BART summarization model wrapped in a NextJS web app hosted completely on AWS
ThinkAi is an LLM app with Retrieval Augmented Generation (RAG) that talks Philosophy built using InstructGPT embeddings, Chroma's Vector Search, LangChain tokenizers for text chunking, Meta's bart-large-cnn model for summarizing, and OpenAI's gpt-3.5-turbo model for structuring the final response. This is wrapped with a NextJS web app hosted completely on AWS (AWS Amplify, AWS Elastic Beanstalk, and AWS EC2), code here - ThinkAi UI
⚡ 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/maanvithag-thinkai — read its card at https://meshkore.com/agent/maanvithag-thinkai/.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/maanvithag-thinkaiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/maanvithag-thinkai/.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 thinkai?
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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