Multi Agents Utils Using Langgraph,Autogen and CrewAI,LLAMAIndex, Pydantic-AI,SWARM
- Langgraph
- CrewAI
- AutoGen
- LlamaIndex
- SmolAgents
- Pydantic AI
- Phidata
- OpenAI Swarm
- Langchain Agents
- DIY
- AWS Bedrock
- Azure Azure AI Agent Service, powered by Semantic Kernel,
- https://langchain-ai.github.io/langgraph/tutorials/introduction/#part-1-build-a-basic-chatbot
- https://langchain-ai.github.io/langgraph/tutorials/
- https://docs.crewai.com/installation
- https://github.com/IntelegixLabs/Multi_Agent_Collaboration_for_Financial_Analysis
- https://storage.googleapis.com/lablab-static-eu/presentations/submissions/cm13b8gp0000z357eaunuygdy/cm13b8gp0000z357eaunuygdy-1726399796546_llg46c0iwl.pdf
- https://www.llamaindex.ai/blog/introducing-llama-agents-a-powerful-framework-for-building-production-multi-agent-ai-systems
- https://docs.llamaindex.ai/en/stable/use_cases/agents/
- pip install git+https://github.com/openai/swarm.git
- google & google-adk
- https://medium.com/@sokratis.kartakis/from-zero-to-multi-agents-a-beginners-guide-to-google-agent-development-kit-adk-b56e9b5f7861
- https://github.com/sokart/adk-walkthrough/blob/main/chapter2_main_single_agent.py
- https://aws.amazon.com/blogs/machine-learning/design-multi-agent-orchestration-with-reasoning-using-amazon-bedrock-and-open-source-frameworks/
- https://github.com/aws-samples/agentic-orchestration/tree/main
- https://catalog.us-east-1.prod.workshops.aws/workshops/d2131e02-4fff-4090-bff9-0c85ecfcf143/en-US
- https://github.com/awslabs/amazon-bedrock-agent-samples/tree/main?tab=readme-ov-file
- AWS Bedrock : https://github.com/aws-samples/amazon-bedrock-workshop
- https://catalog.us-east-1.prod.workshops.aws/amazon-bedrock/en-US
- https://catalog.workshops.aws/agents-for-amazon-bedrock/en-US
- https://github.com/aws-samples/amazon-bedrock-samples/tree/main/rag/knowledge-bases/use-case-examples
- https://github.com/aws-samples/financial-analysis-multi-agent-collaboration/tree/main
- https://github.com/aws-samples/bedrock-multi-agents-collaboration-workshop/blob/main/1-energy-forecast/1_forecasting_agent.ipynb
- Clone the repository:
$ git clone https://github.com/anjijava16/Multi_agents_utils.git
$ cd Multi_agents_utils- Install dependencies with
uv:
To install the required dependencies for this project, use the following command with uv:
-
First, ensure you have
uvinstalled. If not, install it globally:pip install uv
-
Then, install the dependencies using uv
uv install
-
Run the application using uv
uv run
-
Build the Python package using uv
uv build
- https://medium.com/vedcraft/building-intelligent-apps-with-agentic-ai-top-frameworks-to-watch-for-in-2025-7d461627adf2
- https://vedcraft.com/tech-trends/building-intelligent-apps-with-agentic-ai-top-frameworks-to-watch-for-in-2025/