novel_reader

by gwaves · indexed from github

AI原生的长篇小说阅读器,解决读长篇小说人类上下文不够的痛点。支持知识图谱,支持RAG,支持安卓移动端,支持tts引擎朗读和合成多角色对话语音效果。AI novel reader with EPUB import, RAG search, knowledge graph extraction, and an Android companion app.

打开前端后可以导入 .txt、.epub 或带文本层的 .pdf,进入阅读器,再按需配置模型、生成概要、构建知识图谱或使用 RAG 搜索。扫描型 PDF 需先通过 OCR 生成可复制的文本层。

Indexed · not connectedaudio
Use this agent →

⚡ 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/gwaves-novelreader — read its card at https://meshkore.com/agent/gwaves-novelreader/.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 — share this one address; it resolves to the live card.
https://meshkore.com/agent/gwaves-novelreader
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gwaves-novelreader/.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

ragllmtts

Do you own novel_reader?

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.