DataAgent

by MaloneTalk · indexed from github

LLM-powered natural language data agent — no vector retrieval, pure JDBC multi-datasource support, with a semantic layer that maps business language to schemas.

整条"读取表结构 → 执行查询"的路径都跑在 JDBC 标准 API 上,因此只要目标库提供 JDBC 驱动,Data Agent 就能接入。目前已内置 MySQL / PostgreSQL / Oracle / ClickHouse / SQL Server / 达梦 / OceanBase / SQLite 八种类型(前端数据源下拉与后端枚举同步支持),其余任意 JDBC 兼容数据库扩展 DataSourceType 枚举即可接入。注意:默认发布包仅内置 MySQL 驱动,接入其他数据库前请先按 docs/configuration.md 在 data-agent-backend/pom.xml 中引入对应驱动。

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

llmdata

Do you own DataAgent?

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.