Safe internal data analysis with Hermes Agent and OneQuery
How to let Hermes Agent answer internal data questions from Slack, Discord, or Telegram without exposing raw credentials, write access, or unbounded query cost.
6 min readOneQuery
How to let Hermes Agent answer internal data questions from Slack, Discord, or Telegram without exposing raw credentials, write access, or unbounded query cost.
6 min read
Connect Vercel to OneQuery so agents can inspect teams, projects, and deployments without carrying raw Vercel tokens.
4 min read
OneQuery now supports E2B as a connected Source API for reading sandbox state, lifecycle events, logs, and metrics without exposing raw credentials to agents.
3 min read
How Codex can use OneQuery-connected Cloudflare logs to inspect production failures, separate evidence from guesses, and make targeted code changes.
4 min read
A practical workflow for implementing the context enrichment layer described in OpenAI's in-house data agent writeup with schema facts, bounded SQL evidence, and code references.
7 min read
How OneQuery gives LLMs a safe, auditable data access layer without handing them raw production credentials.
4 min read
A practical workflow for using OneQuery to let a GEPA reflection agent inspect Laminar LLM telemetry while improving prompts.
7 min read
Why autonomous agents should never hold raw production access, and how OneQuery removes that class of risk from data workflows.
5 min read
A practical startup playbook for turning an AI data agent from a risky demo into a safe, contextual, auditable workflow.
6 min read
Replacing one-off connector setup with a predictable path for every database and analytics source.
4 min read