salil999
Joined 6 years ago
Joined 6 years ago
I created a small app that acts as an AI tool organizer across a few popular providers: Claude Code, Cursor, VS Code and OpenCode. It has support for: - MCP Servers - Skills - Rules - Hooks - Subagents - API Credentials
All of the data used and stored by the app is stored on your $HOME directory under ~/.ai_tools_manager. I'm new to open source so I'm not sure if I "did" it correctly but open to feedback!
Similar idea but you have the power of S3 scale (if you really need it). For context, I do not work at WS. My company switched to it recently and we've seen great improvements over traditional Kafka.
It's been my ls replacement for a while now and it's very customizable!
I think they are pretty open about it?
- https://www.meta.ai/ requires no log in (for now at least)
- PyTorch is open source
- Various open models like LLama, Detectron, ELF, etc
- Various public datasets like FACET, MMCSG, etc
- A lot of research papers describing their findings
> const urlstring = "this is not a URL";
> const not_a_url = URL.canParse(urlstring) && new URL(urlstring);
Why would you need the latter part of the condition? Couldn't it just be this?
> const isValidURL = URL.canParse(urlstring);
https://shashanksaxena.me/