120+ agent tools: how to choose without falling for the hype

The agent ecosystem has exploded: hundreds of tools in frameworks, orchestration, observability. If you try to test everything, you build nothing.

The market map

Main categories: models, orchestration, observability, context store, development tools. Pick one per category and avoid switching for the next shiny thing.

Selection criteria

Does it fit your current stack? Does it have logs and trace? Does it allow control of context and sensitive data? Predictable costs? Avoids lock-in?

A minimum viable stack

1 model + 1 orchestration layer + 1 observability tool + 1 context store (when needed). Start simple. Evolve only when it hurts.

In short, applying these practices day to day reduces risk and improves what you ship. Worth revisiting this article when defining the next step for your project or team. If you work with AI in the development flow, document your decisions and share with the team for consistency and security.

Key takeaways

Less switching, more shipping. Minimum viable stack and clear criteria avoid hype.

Read also

• AI-assisted day to day: use it for mechanics, be skeptical on architecture
• AI security in development: lessons from the open source world

FAQ

What if the tool I chose disappears? Prefer open standards and abstract integrations; then you can switch providers with less pain.

How long to evaluate? 1–2 sprints with a real use case. Avoid months-long POCs across dozens of tools.