QQLore

by Will-hxw · indexed from github

QQLore 是一个面向IM聊天记录的本地智能分析与检索系统,基于 TypeScript / Node.js 构建,覆盖聊天记录读取与增量同步、消息清洗、上下文重建、语义向量化、RAG 检索、Agent 问答和周期性摘要等完整链路。系统支持多群组管理、兴趣度分析与 WebUI 可视化,帮助用户从碎片化、口语化且高度依赖上下文的长期聊天记录中检索信息、还原事件并持续追踪话题。

历史数据分批渐进处理:dataProviders.QQ.sourceReconcile.enabled 控制是否启用 QQ 原库扫描;启用时 dataProviders.QQ.sourceReconcile.batchSize 控制每轮从 QQ 原库扫描多少业务消息,preprocessors.historicalBackfill.messageLimit 控制每轮对已落库但尚未分配 sessionId 的历史消息做多少候选回填,默认 10000。

Indexed · not connectedai-infra
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/will-hxw-qqlore — read its card at https://meshkore.com/agent/will-hxw-qqlore/.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/will-hxw-qqlore
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/will-hxw-qqlore/.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

rag

Do you own QQLore?

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.