Navigating the Challenges of AI Agent Development
I’ve been actively building AI agents using LangChain, n8n, and custom Python scripts. In the process, I’ve encountered several challenges that many of you may relate to:
- MCP Server Configuration: Do you set up separate MCP servers for each agent, or do you share them across projects?
- Credentials and Config Management: What’s your strategy for managing credentials and configurations across different frameworks?
- Dependency Conflicts: Have you faced issues where different agents require incompatible Python versions?
- Observability Needs: How do you keep track of which agent is utilizing a specific tool?
To streamline this, I’ve started building a private registry to centralize configurations. However, I wonder if I’m overengineering or if these pain points resonate with you.
Let’s connect! How are you addressing these challenges? Please share your insights below!
