dispencer
Joined 5 years ago
Karma
36
Submissions
24
Member since
Apr 6
Recent submissions
Comment · 5 months ago
The smarter the model the better querybear gets. I'm happy with that.
Comment · 6 months ago
I've been building QueryBear (https://querybear.com) to fix the database part of this: instead of giving an agent your raw connection string, you give it a read-only MCP URL that only exposes the tables you approve and logs every query. The agent can still query your DB, answer business questions, help debug — it just can't delete anything.
Comment · 6 months ago
Companies need to rely on sandboxing tools built for agents like querybear (https://querybear.com). This kind of thing should never happen.
Comment · 6 months ago
This wild, one of the pieces I was lacking for a very openclaw-esque future. Now I think I have all the mcp tools I need (github, linear, slack, gmail, querybear), all the skills I need, and now can run these on a loop.
Am I needed anymore?
Comment · 6 months ago
This is massive. Arguably will be the start of the move to openclaw-style AI.
I bet anthropic wants to be there already but doesn't have the compute to support it yet.
Comment · 6 months ago
I've been building this at https://querybear.com.
Engineers are adopting AI agents faster than any other group. They connect these coding agents to github, slack, linear, jira, datadog, sentry, everything. I saw the limiting factor being the database so sought to build a solution.
But obviously there's a lot that can go wrong giving a raw access point into the database. Querybear is the security layer to protect from anything bad happening.
Been using it for months and we have multiple startups using it and loving it. Have had no issues yet!
Comment · 10 months ago
https://www.querybear.com - basically retool but make creating tools SUPPPPER easy