Awesome-AGI
semantic-kernel
Awesome-AGI | semantic-kernel | |
---|---|---|
2 | 47 | |
404 | 18,560 | |
7.2% | 4.8% | |
7.0 | 9.9 | |
8 months ago | about 4 hours 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
-
#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
-
Automated Routing of Tasks to Optimal Models: A PR for Semantic-Kernel
The need for efficient model routing has been a point of discussion in the community. Addressing this, I've submitted a pull request to Semantic-Kernel that introduces an automated multi-model connector.
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