ChatDev
autogen
ChatDev | autogen | |
---|---|---|
10 | 33 | |
24,077 | 27,102 | |
4.4% | 6.8% | |
9.4 | 9.9 | |
5 days ago | 6 days ago | |
Shell | Jupyter Notebook | |
Apache License 2.0 | Creative Commons Attribution 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ChatDev
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AutoGen: Enable Next-Gen Large Language Model Applications
Check https://github.com/OpenBMB/ChatDev out, they simulate personas in a company and build products by simulating the interactions.
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[task] Looking for someone with experience in chatgpt
Hey I have being playing with Chatdev for a long time now, and I am looking for customization on the company config file, I am pretty busy so I can't do that on my own time I have already customized for two tasks but I am looking to do that for more than one task. I can pay 5-20$ depending on the customization length and how much time it takes you to do so
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I will pay you to customize ChatDev for me
Hey I have being playing with Chatdevfor a long time now,
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AI hype is built on high test scores. Those tests are flawed
Exactly and things are actually getting crazy now. For some reason this hasn't reached the frontpage on HN yet: https://github.com/OpenBMB/ChatDev
Making your own "internal family system" of AI's is a making this exponential (and frightening), like an ensemble on top of the ensemble, with specific "mindsets", that with shared memory can build and do stuff continuously.
I remember a couple of comments here on HN when the hype began about how some dude had figured out how to actually make an AGI - can't find it now, but it was something about having multiple AIS, discoursing with a shared memory - and now it seems to be happening.
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[D] Are there examples of AI-written projects actively maintained/worked on by humans?
I've seen a rising trend in these "ChatDev"-like projects (https://arxiv.org/abs/2307.07924, their github is https://github.com/OpenBMB/ChatDev) that can "assemble a team of AIs" to build a complete project, such as a snake game. The possible projects it can build are rather limited, and the "team" is really a chat dialogue. But it does in fact generate runnable code with some underlying system design philosophy.
- FLaNK Stack Weekly 2 October 2023
- Show HN: ChatDev – Simulating a software company with LLMs
- Communicative Agents for Software Development
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FLaNK Stack Weekly for 12 September 2023
https://github.com/OpenBMB/ChatDev?
autogen
- Multi AI Agent Systems using OpenAI's new GPT-4o Model
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Agents of Change: Navigating the Rise of AI Agents in 2024
AutoGen is an AI framework by Microsoft designed to streamline multi-agent conversations. AutoGen allows agents to communicate, share information, and make collective decisions. This setup enhances the responsiveness and dynamism of conversations. Developers use AutoGen to tailor agents to specific roles, such as programmer, content writer, CEO, etc. This enhances their ability to handle tasks from simple queries to intricate problem-solving.
- FLaNK AI Weekly 25 March 2025
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Launch HN: Glide (YC W19) – AI-assisted technical design docs
I am still playing around with the project but FYI, the parsing for the github repo URL at https://glide.agenticlabs.com/ will fail if there's a trailing slash in the repo link i.e. https://github.com/microsoft/autogen/ won't work but https://github.com/microsoft/autogen will.
- Show HN: Prompts as (WASM) Programs
- Enable Next-Gen Large Language
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AutoGen v0.2.2 released
New example notebook demoing video transcript translate with whisper.
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AutoGen v0.2.1 released
New release: v0.2.1
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AI is making us all more productive — but in a weird and unexpected way
I disagree with the conclusion. In software, I've seen 10x engineers in person and I don't think they're replaceable. Whereas, the new college grad or that entry level dev who doesn't design anything and just writes small amounts of code, doing exactly as told is replaceable by an AI. Frameworks similar to Microsoft Autogen(https://github.com/microsoft/autogen) can in theory build agents who can do these tasks with ease whereas a 10x engineer can focus on directing the agents and designing systems.
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Our Hacktoberfest Success Story
Microsoft autogen
What are some alternatives?
FLaNK-HuggingFace-BLOOM-LLM - https://huggingface.co/bigscience/bloom into NiFi
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
minum - A minimalist Java web framework built from scratch
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
RecipeUI - Discover, test, and share APIs in seconds
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
kafkaflow - Apache Kafka .NET Framework to create applications simple to use and extend.
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
initializr - A quickstart generator for Spring projects
langchain - 🦜🔗 Build context-aware reasoning applications