wangtao
/
autogen
Not watched
1
0
Fork 0
Code
Releases 127 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
3176 Commits
199 Branches
282 MB
21 Download
 
 
 
 
 
 
Tree: 44db2cc1fb
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '44db2cc1fb'
${ noResults }
autogen/python/packages/autogen-core
Eric Zhu 403844ef2b
feat: add Semantic Kernel Adapter documentation and usage examples in user guides (#5256) 		1 year ago
..
docs feat: add Semantic Kernel Adapter documentation and usage examples in user guides (#5256) 1 year ago
src/autogen_core FunctionTool partial support (#5183) 1 year ago
tests FunctionTool partial support (#5183) 1 year ago
.gitignore API documentation page flattening (#4556) 1 year ago
LICENSE-CODE Include license file in package (#3703) 1 year ago
README.md Make package readmes slightly less empty (#4961) 1 year ago
pyproject.toml update dependencies to work with protobuf 5 (#5195) 1 year ago

README.md

AutoGen Core

AutoGen core offers an easy way to quickly build event-driven, distributed, scalable, resilient AI agent systems. Agents are developed by using the Actor model. You can build and run your agent system locally and easily move to a distributed system in the cloud when you are ready.

Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Python SVG Jupyter Notebook C# TSX other