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18 changes: 9 additions & 9 deletions python/docs/src/index.md
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Top-level documentation for AutoGen, a framework for developing applications using AI agents
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An web-based UI for prototyping with agents without writing code.
A web-based UI for prototyping with agents without writing code.
Built on AgentChat.

```bash
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An event-driven programming framework for building scalable multi-agent AI systems. Example scenarios:

* Deterministic and dynamic agentic workflows for business processes.
* Research on multi-agent collaboration.
* Distributed agents for multi-language applications.
- Deterministic and dynamic agentic workflows for business processes.
- Research on multi-agent collaboration.
- Distributed agents for multi-language applications.

_Start here if you are getting serious about building multi-agent systems._

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Implementations of Core and AgentChat components that interface with external services or other libraries.
You can find and use community extensions or create your own. Examples of built-in extensions:

* {py:class}`~autogen_ext.tools.mcp.McpWorkbench` for using Model-Context Protocol (MCP) servers.
* {py:class}`~autogen_ext.agents.openai.OpenAIAssistantAgent` for using Assistant API.
* {py:class}`~autogen_ext.code_executors.docker.DockerCommandLineCodeExecutor` for running model-generated code in a Docker container.
* {py:class}`~autogen_ext.runtimes.grpc.GrpcWorkerAgentRuntime` for distributed agents.
- {py:class}`~autogen_ext.tools.mcp.McpWorkbench` for using Model-Context Protocol (MCP) servers.
- {py:class}`~autogen_ext.agents.openai.OpenAIAssistantAgent` for using Assistant API.
- {py:class}`~autogen_ext.code_executors.docker.DockerCommandLineCodeExecutor` for running model-generated code in a Docker container.
- {py:class}`~autogen_ext.runtimes.grpc.GrpcWorkerAgentRuntime` for distributed agents.

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