One interface. Every agent framework.

Caution

Compared to traditional code-defined workflows, agent frameworks introduce complexity, additional security implications to consider, and demand much more computational power.

Before jumping to use one, carefully consider and evaluate how much value you would get compared to manually defining a sequence of tools and LLM calls.

Requirements

• Python 3.11 or newer

Installation

You can install the bare bones library as follows (only TinyAgent will be available):

pip install any-agent

Or you can install it with the required dependencies for different frameworks:

pip install any-agent[agno,openai]

Refer to pyproject.toml for a list of the options available.

Why any-agent

Framework agnostic

Switch between Agno, Google ADK, LangChain, LlamaIndex, OpenAI, smolagents, and TinyAgent with a single parameter change.

Unified tracing

Standardized OpenTelemetry traces across all frameworks for consistent observability.

Built-in evaluation

LLM-as-a-judge and agent-as-a-judge evaluation tools to assess agent performance.

Serve anywhere

Serve agents via A2A or MCP protocols and compose them as tools for other agents.

For AI Systems

This documentation is available in two AI-friendly formats:

• llms.txt - A structured overview with curated links to key documentation sections
• llms-full.txt - Complete documentation content concatenated into a single file