Any Agent

Any Agent is a developer's answer to the agent framework chaos. Instead of committing to one engine and rebuilding when you switch, this library gives you a single interface and lets you change engines on the fly. In practice, that's a huge win for prototyping and for teams that need to evaluate which framework fits their use case before going deep. Pick any-agent when you're actively comparing Agno, Google ADK, LangChain, LlamaIndex, OpenAI, smolagents, or TinyAgent. The single-parameter switching is a genuine time-saver—we'd reach for this when we need to benchmark the same agent logic across two or three frameworks without rewriting. The unified OpenTelemetry tracing also means you get consistent traces regardless of the engine, which is rare in this space. Pass on it if you're building to production with one framework and need every last optimization. any-agent is not a production optimizer—it's a layer on top, and that introduces some overhead and abstracts away framework-specific features. If you need deep tweaks or fine-grained control, you'll likely end up working around the abstraction. Compared to framework-specific SDKs, any-agent trades deep optimization for flexibility. The built-in evaluation tools—LLM-as-a-judge and agent-as-a-judge—are a nice bonus, letting you score performance without building your own pipeline. And serving via A2A and MCP keeps your agents interoperable with other systems. Where it bites: it's a Python library, so non-programmers won't get a visual builder. And if none of the supported frameworks matter to you, there's little reason to use it. Also, the abstraction means you might miss out on bleeding-edge features that land first in a specific SDK. That said, for multi-framework experiments and evaluation, it's hard to beat.