Autogen Agents Swarm - Building the Perfect Swarm

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In this video, I'm sharing my learnings and observations about how we can structure different teams of agents.
It doesn't matter if we're using Autogen, CrewAI, or any other framework, we still need to tinker and decide what is the best 'organizational' format for our project and agents.

Chapters:
00:00:00 - Building the Ideal Formation
00:04:42 - Structural Models and Agent Swarm Specialization
00:08:55 - Different Organizational Structures
00:13:07 - Organizational Structures for a Supplement Brand
00:16:52 - Optimizing performance in a robot-based environment
00:20:58 - The Symbolism of Desk Wheels
00:25:14 - Adjusting the Agent Builder
00:29:38 - Selecting agents and building a team
00:34:01 - Different Organizational Structures for Automation
00:38:37 - Like, Comment, Subscribe!

Autogen Repo:

Autogen notebook explaining the agents library:

Valve Handbook (Flat Company):

Other Videos You Might Like:

Autogen AutoBuilder Overiew:

Open Interpreter Demo:

CrewAi Overview:

What is Taskweaver:

Links:

#autogen #aiagents #autonomousagents #crewai

[strahinjanikolic]

🎯 Key Takeaways for quick navigation:

00:00 🤔 *Reflecting on the ideal organizational structure for maximizing efficiency and adaptability in agent technology.*
02:25 📚 *Researching organizational structures reveals insights applicable to optimizing agent swarms, focusing on specialization and coordination.*
06:53 🔄 *Coordination and control are crucial for the effectiveness of agent swarms, potentially challenging the notion of a completely flat organizational hierarchy.*
08:42 🎯 *Emphasizing the importance of considering multiple criteria and context in designing organizational structures for optimal performance.*
11:52 📊 *Exploring various organizational structures (functional, product-based, process-based, divisional, matrix, flat, and team-based) for different goals and tasks.*
16:33 🤖 *In a robot-centric environment, specialization and efficient task allocation are key, suggesting functional role-based or product-based structures.*
17:59 📈 *Delegating tasks and highly specialized robots enhance efficiency and productivity, rated at maximum specialization (10/10).*
18:28 🔄 *Managing specialized robots lacking contextual understanding involves structured input formats, clear instructions, and focused interactions.*
20:16 🏢 *Examining Valve's flat organizational structure as a successful example, highlighting autonomy, collaboration, and project self-selection.*
24:02 💡 *Transitioning from theory to practical application, focusing on adjusting the agent builder based on organizational structure insights.*
24:53 🤖 *Relevant agents adapt their abilities based on tasks and select only relevant agents for the task.*
25:22 🛠️ *The agent Builder prompts for task programming needs and optimal position settings for efficiency.*
27:14 📝 *System message modification prompt tailors agent messages to specific tasks, enhancing relevance.*
28:38 🗣️ *Agent descriptions aid group chat managers in selecting the most relevant agent for tasks.*
29:31 💡 *Prompt requirements dictate necessary skills and attributes for agent positions.*
31:34 🏗️ *Different prompts facilitate building teams with varied organizational structures like hierarchical, flat, matrix, and team-based.*
34:34 🔄 *Testing different organizational structures with varied prompts helps optimize automation effectiveness and efficiency.*
37:30 📈 *Planning and structuring automation processes correctly can lead to better outcomes, emphasizing the importance of testing different formations.*

Made with HARPA AI

[johnrmilton]

Thanks for taking on the more rigorous effort to define optimal agent organizations. Dry for many but necessary for real-world AI product development. Looking forward to your future videos in this area.

[plamenmarkov]

Thank you for the nice content, I have been working on this almost a year and will announce the outcome in the next few weeks. Keep up the great work!

[rollandmelet]

Big thank you for your work
It was a bit long and it tooks me 4 time to watch this completely
However what you could do is to provide your documents to be ables to following you

[mgranin]

It’s the best confirm that you have ever created, but consider spending in just a few minutes summarising all the text that you’re going to read and compiling you doing to some kind of screwed because definitely this video could be a fraction of the time and to also help you a lot in your own research to have something very dense, something that you can refer to you later

[RichardHollway]

Really good stuff! When's the next one coming? Can't wait ...

[RalfMecki]

Great Content! I am also Interested in agents with the ability to call custom functions from local llms. Custom function calling from local llms for autogen or crew ai would solve many problems, for example through RAG via Graph DB.

[GiovanneAfonso]

Thank you for the video! Do you think about creating a "Code tester" ? So you could have it to test the python programmer's output

[JTutorials]

So that "Agent Builder" for Autogen kind of described how Autogen works under the hood. I can't seem to find anything similar in the CrewAI source code. So I might have to give Autogen a try instead of CrewAI. It might be less stressful when attempting to use the non-GPT4 LLMs.

[alpineai]

Could you add voice conversational output integrating the ElevenLabs API to this?

[build.aiagents]

Phenomenal 🦾… a swarm that creates a bespoke swarm according to your needs as a model 🤔 that book is amazing thank you