agency
A fast and minimal framework for building agentic systems (by operand)
LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently. (by SciSharp)
| agency | LLamaSharp | |
|---|---|---|
| 3 | 7 | |
| 433 | 3,277 | |
| 1.6% | 2.2% | |
| 7.4 | 9.6 | |
| 4 days ago | 8 days ago | |
| Python | C# | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
agency
Posts with mentions or reviews of agency.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-10.
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Is it possible to make two LLMs talk to each other?
Check out this project, the author is around here: https://github.com/operand/agency
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Update on my new agent library, now called `agency`
First, I renamed the project to agency. Much better I think!
- This is getting really complicated.
LLamaSharp
Posts with mentions or reviews of LLamaSharp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-12.
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Beyond Basic RAG: Measuring Embedding and Generation Performance with RAGAS
LLamaSharp
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AmpereOne: Cores Are the New MHz
It depends on the framework. Here's the LlamaSharp example: https://github.com/SciSharp/LLamaSharp/blob/master/LLama.Exa...
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LM-Kit.NET VS LLamaSharp - a user suggested alternative
2 projects | 4 Sep 2024
LM-Kit.NET is better suited for commercial applications and offers more advanced high-level capabilities
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Classifying bugfix commits with ML.NET
A label column was added to the dataset indicating whether or not the commit represented a bugfix commit. The initial value of this column came from using LLamaSharp to interact with a Phi-3 Mini 4k Instruct large language model (LLM) running on-device on a Linux machine using an RTX 4070 graphics card and CUDA 12.
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This is getting really complicated.
For example, I have my own task and I need another tool, so I search and find what I need. https://github.com/SciSharp/LLamaSharp and this allows me to take the next step https://github.com/Xsanf/LLaMa_Unity . I can already run LLM on Unity. And this is already an opportunity to use it in games natively.
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cannot for the life of me compile libllama.dll
I searched through GitHub and nothing comes up that is new. I wanted to run the model through the C# wrapper linked on LLaMASharp which requires compiling llama.cpp and extracting the libllama dll into the C# project files. When I build llama.cpp with OpenBLAS, everything shows up fine in the command line. Just as the link suggests I make sure to set DBUILD_SHARED_LIBS=ON when in CMake. However, the output in the Visual Studio Developer Command Line interface ignores the setup for libllama.dll in the CMakeFiles.txt entirely. The only dll to compile is llama.dll; I know this is a fairly technical question but does anyone know how to fix?
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Could I get a suggestion for a simple HTTP API with no GUI for llama.cpp?
C#/.NET: SciSharp/LLamaSharp
What are some alternatives?
When comparing agency and LLamaSharp you can also consider the following projects:
Autonomous-Agents - Autonomous Agents (LLMs) research papers. Updated Daily.
SillyTavern - LLM Frontend for Power Users.
chatarena - ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
llama.cpp-dotnet - Minimal C# bindings for llama.cpp + .NET core library with API host/client.
rosa - ROSA 🤖 is an AI Agent designed to interact with ROS1- and ROS2-based robotics systems using natural language queries. ROSA helps robot developers inspect, diagnose, understand, and operate robots.
llama.net - .NET wrapper for LLaMA.cpp for LLaMA language model inference on CPU. 🦙