autogen
JARVIS
autogen | JARVIS | |
---|---|---|
32 | 52 | |
25,506 | 23,076 | |
7.7% | 0.8% | |
9.9 | 7.2 | |
3 days ago | 17 days ago | |
Jupyter Notebook | Python | |
Creative Commons Attribution 4.0 | MIT License |
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.
autogen
-
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
-
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
-
AutoGen v0.2.2 released
New example notebook demoing video transcript translate with whisper.
-
AutoGen v0.2.1 released
New release: v0.2.1
-
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.
-
Our Hacktoberfest Success Story
Microsoft autogen
-
AutoGen v0.2.0b4 released
CompressibleAgent (experimental) can be used to handle long conversations. Notebook: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_compression.ipynb
JARVIS
- FLaNK Stack 26 February 2024
-
Overview: AI Assembly Architectures
Jarvis: github.com/microsoft/JARVIS
-
When will we get JARVIS?
You can build it yourself now. https://github.com/microsoft/JARVIS
- How to build the Geth (networked intelligence, decentralized AGI)
-
Off-topic: What NVIDIA GPU do I need to run privateGPT or Alpaca-Lora for code translations, debugging, unit tests, etc?
https://github.com/microsoft/JARVIS (when ready says >=24GB VRAM)
-
Apple announces Apple Silicon Mac Pro powered by M2 Ultra
Can be. There are projects that run fully locally like Microsoft’s Jarvis. https://github.com/microsoft/JARVIS
-
April 2023
JARVIS, a system to connect LLMs with ML community (https://github.com/microsoft/JARVIS)
- Nvidia's GH200 AI supercomputers could build 'giant' AI models more powerful than GPT-4
-
A Lightweight HuggingGPT Implementation w/ Langchain + Thoughts on Why JARVIS Fails to Deliver
HuggingGPT is a clever idea to boost the capabilities of LLM Agents, and enable them to solve “complicated AI tasks with different domains and modalities”. In short, it uses ChatGPT to plan tasks, select models from Hugging Face (HF), format inputs, execute each subtask via the HF Inference API, and summarise the results. JARVIS tries to generalise this idea, and create a framework to “connect LLMs with the ML community”, which Microsoft Research claims “paves a new way towards advanced artificial intelligence”.
- Edit videos through intuitive ChatGPT conversations
What are some alternatives?
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
babyagi
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.
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
visual-chatgpt - Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models [Moved to: https://github.com/microsoft/TaskMatrix]
langchain - 🦜🔗 Build context-aware reasoning applications
dalai - The simplest way to run LLaMA on your local machine