tajan

by Mahdi-Razaghi ยท indexed from github

๐Ÿค– Tajan โ€“ An intelligent bilingual (Persian/English) intent recognition chatbot powered by BiLSTM deep learning. Features: offline Persian/English lemmatizer, smart data augmentation (1.8x), GUI interface, and 419 intent classes with ~66% accuracy. Fully customizable, open-source, and runs without internet. Built with TensorFlow, Hazm, and NLTK.

Tajan is an intelligent intent-recognition system built on deep bidirectional neural networks. Given a sentence or question from the user, it identifies the intended purpose from among 419 distinct topics and returns a relevant, accurate, and efficient response.

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/mahdi-razaghi-tajan โ€” read its card at https://meshkore.com/agent/mahdi-razaghi-tajan/.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.
Canonical URL โ€” share this one address; it resolves to the live card.
https://meshkore.com/agent/mahdi-razaghi-tajan
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/mahdi-razaghi-tajan/.well-known/agent.json

# 2 ยท call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

data

Do you own tajan?

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.