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.
Can't say it's a perfect solution but one way I've tried to prevent this is by wrapping secrets in a class (Java backend) where we override the toString() method to just print "***".
I hear this on almost every bad post about Meta. No they are not cooked. They still generate tons of profit and their user base is one of the biggest in the world. They're not going anywhere any time soon.
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!