Awesome-AGI
semantic-kernel
Awesome-AGI | semantic-kernel | |
---|---|---|
2 | 48 | |
414 | 18,964 | |
4.8% | 3.8% | |
7.0 | 9.9 | |
9 months ago | 3 days ago | |
C# | ||
MIT License | 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.
Awesome-AGI
-
Overview: AI Assembly Architectures
github.com/Awesome-AGI
-
List of Awesome AI Agents like AutoGPT and BabyAGI / Many open-source Agents with code included!
Github: https://github.com/e2b-dev/awesome-ai-agents and https://github.com/EmbraceAGI/Awesome-AGI
semantic-kernel
-
Introducing Semantic Kernel
Semantic Kernel is an open-source SDK that allows us to easily bring AI capabilities to our applications. It allows us to connect to AI services such as OpenAI and Azure OpenAI with ease. If you have worked with LangChain, Semantic Kernel is a Microsoft implementation of a project like LangChain. Semantic Kernel allows us to integrate AI functionality such as text generation, text summarization, chat completion, and image generation in our applications.
-
#SemanticKernel β πChat Service demo running Phi-2 LLM locally with #LMStudio
There is an amazing sample on how to create your own LLM Service class to be used in Semantic Kernel. You can view the Sample here: https://github.com/microsoft/semantic-kernel/blob/3451a4ebbc9db0d049f48804c12791c681a326cb/dotnet/samples/KernelSyntaxExamples/Example16_CustomLLM.cs
-
Semantic Tests for SemanticKernel Plugins using skUnit
This week, I had the chance to explore the SemanticKernel code base, particularly the core plugins. SemanticKernel comes equipped with these built-in plugins:
- FLaNK Stack for 04 December 2023
- Semantic Kernel
-
Getting Started with Semantic Kernel and C#
In this article we'll look at the high-level capabilities building AI orchestration systems in C# with Semantic Kernel, a rapidly maturing open-source AI orchestration framework.
-
Agency: Pure Go LangChain Alternative
I'm using Semantic Kernel (https://github.com/microsoft/semantic-kernel) and it's really nice. Makes building more complex workflows really simple without sacrificing control.
A bunch of examples (https://github.com/microsoft/semantic-kernel/blob/main/dotne...) for how to handle just about anything you need to do with OAI with a lot less boilerplate.
-
New: LangChain templates β fastest way to build a production-ready LLM app
I haven't tried it but there's Microsoft semantic-kernel.
https://github.com/microsoft/semantic-kernel
-
Overview: AI Assembly Architectures
Semantic Kernel github.com/microsoft/semantic-kernel
What are some alternatives?
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
langchain - β‘ Building applications with LLMs through composability β‘ [Moved to: https://github.com/langchain-ai/langchain]
make-safe-ai - How to Make Safe AI? Let's Discuss! π‘|π¬|π|π
langchain - π¦π Build context-aware reasoning applications
Voyager - An Open-Ended Embodied Agent with Large Language Models
guidance - A guidance language for controlling large language models.
ArtieSmarts - Free, automatic, accessible, pensively-ethical, personal AGI (artificial general intelligence) *Hint for Github noobs: Scroll down to the README for more details. Also, if you hope this project succeeds, please hit star & support.
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
babyagi-asi - BabyAGI: an Autonomous and Self-Improving agent, or BASI
awesome-ai-agents - A list of AI autonomous agents
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks