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AgentEngineeringProduct

AutoGen

microsoft/autogen

Microsoft’s multi-agent programming framework for conversational and tool-using agents. GitHub: microsoft/autogen (~60k stars).

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GitHub repository

https://github.com/microsoft/autogen
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Overview

AutoGen (microsoft/autogen) is listed in LimeDock Directories as an AI agent resource. Microsoft’s multi-agent programming framework for conversational and tool-using agents. Group: multi-agent. Community size: ~60k GitHub stars. Repo (copy/paste): https://github.com/microsoft/autogen This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.

SaaSOther

Work with LimeDock

Using this skill? LimeDock can wire it into a durable automation you own.

Agents are a starting point. LimeDock turns the workflow into production automation your SaaS team owns — not another prompt library.

We sell owned automations for SaaS teams — live workflows that plug into Slack, CRM, and your internal platform — not just a skill list.

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Link

https://github.com/microsoft/autogen
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Installation guide

Open the GitHub repository, then follow the README for your stack.

Official GitHub repository: https://github.com/microsoft/autogen GitHub path: microsoft/autogen

How to open it: 1. Copy: https://github.com/microsoft/autogen 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.

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How to use it

**Simple example** You need to code multi-agent conversations with solid abstractions.

1. Install AutoGen. 2. Run a two-agent example. 3. Adapt to one internal workflow with logging.

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Example prompts

  • Build a two-agent AutoGen planner+executor demo.
  • AutoGen vs LangGraph for our services?
  • Observability tips for AutoGen apps.
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Use cases and examples

  • Evaluate microsoft/autogen as an AI agent building block
  • Pilot AutoGen on one staging workflow
  • Compare against agents you already pay for
  • Document a team playbook after the pilot
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Prerequisites

  • Python
  • API keys
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Tips

  • Log every agent message in staging.
  • Put budgets on loops.