Hi Guys. I am looking for Devs of all levels to help me on an AI Project in .NET C#. Here is a brief of the proposal of the project: The objective of the app is to be an AI-assisted application that enables users to create, configure and use AI agents that can execute complex tasks and workflows with no-code. Unlike simple chat or single-step tasks, the app is designed to handle intricate projects that typically require multiple steps, planning, and coordination among various AI agents with specialized skills. This includes projects like building a game from scratch, creating a functional website, writing a research paper, producing a video, or developing a complex software application. The app utilizes specialized AI agents, each possessing expertise in a particular domain or task. For example, a "Detail-Oriented Tester" agent would excel at software testing, while a "Creative Designer" agent would focus on generating visual artifacts. An "Experienced Cosmologist" would have knowledge and expertise in cosmology papers. The app's strength lies in its ability to coordinate these specialized agents, much like a human team, to achieve a common goal. It employs a system of hierarchical tasks, similar to a Gantt chart, where a main thread (managed by an orchestrator AI) delegates subtasks to other threads, creating a dynamic workflow. This app is a work in progress, but the core structure for enabling complex task management is already taking shape. The ultimate vision is to make the app accessible to both technical and non-technical users, empowering them to leverage the power of AI for complex problem-solving. I am not trying to compete with LangChain, CrewAI, AutoGen, or AutoGPT. What differentiates the app from them is that it is an end-user application, while those others are frameworks designed for developers to build AI applications. This is a crucial difference in terms of target audience and technical expertise required. The app aims to empower end-users, including those without programming experience, to leverage AI for complex task management.

Hey All, I've created a public github repo with a copy of the CrewAI-LangGraph project in the crewAI-examples repo. https://github.com/AndreVianna/CodingCrew I want to evolve that repo to a more complex tool. I hope to build a supervised automation for project planning, coding, and testing in any language. That is an exercise to explore more complex and real scenarios for enterprises. Maybe, when it is ready, João will consider adding it to the "official" repo. Anyway... It is public, so everyone is invited to participate. So please, fork, submit PRs, comment, raise Issues. Let's make this together. Cheers. Update: There is a new version on the main branch that is "working" 😅...

Hi All, I want to post here a couple of sample projects that I have been using to evaluate the multi-agent tools. I found that the samples I encounter are very simple, even those considered advanced. I've used a couple of projects to evaluate several different tools+LLMs+Env. For the tools I've used AutoGPT, AutoGen, ChatDev, MetaAI, and CrewAI. And to be honest none of them were able to complete it, even with some interference. As for LLMs, I've used (when available) GPT-4o, Claude 3 Opus, Mistral 8x22b, and Llama 3. And for environment, I've tried it in Windows 64x (with powershell 7), Ubuntu v22.4 (the real deal wtih zsh), and WSL2 (running Ubuntu v22.4 with zsh) Full disclosure, the best result I've got so far is with AutoGPT+GPT-4o+WSL2. But I think the CrewAI is the tools that offers more potential. So, I think, I am not being able to set up the agents, tools, and tasks correctly. I would love to get some help in this exercise. Below I am posting the specification of two of the projects I am using. Both projects are only for experimentation. They are not production code. We wanted to test two types of scenarios: 1. A wide project with low coding complexity (shallow) that involves many interconnected parts (frontend, backend, tests, etc). That project was named FacePuppy 2. A narrow project with high coding complexity (deep) that involves a lot of computation and performance in a language that is not very "popular". That project was named SoundSpectrumRT. Those are sample of projects very close to real projects that could be given to our dev team to be developed. Here are their specs that were given in all the tests with the different combination of Tools+LLM+Env: ``` # FacePuppy ## Scope The FacePuppy web application aims to provide a platform for users to create profiles for their pets, specifically focusing on puppies. Users will be able to register, create and manage the puppy's profile, upload the puppy's photos with an optional caption into a gallery, write blog posts about the puppy, search for the puppies of other users, view the blog posts of the puppies of other users, and, if the user is an administrator, access an admin dashboard. The web application must be mobile-responsive to cater to a wide range of devices.

Hey All, Here is another interesting question. What is the best strategy to have a human in the loop? Should it be a task? (get_more_info) Should it be a tool? (ask_user) Should it be an agent? (human_proxy) All the above? (depending on the use case requirements) Any, of you have a good example to solve that? There is a "how to" guide in the Crew AI site and an issue with that discussion in the github repo (https://github.com/joaomdmoura/crewAI/issues/258#issuecomment-1952896569). But I would like to know opinion and discuss some code samples. I think is always nice to have as many "tools is the belt" as possible.

Hi All, In the landing page example, it suggests to use https://www.browserless.io/ . But Browserless does not have a free tier only a 7-day free trial (after that 200/mo 😯). Is there a really free option? Can the example be updated? Cheers