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Add periods to end of descriptions in README.md by jainav-exe · Pull Request #81 · flypythoncom/python · GitHub
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Add periods to end of descriptions in README.md #81

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Add periods to end of descriptions in README.md #81

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### 🚀 Leading LLM Agent Frameworks

#### **OpenAI Agents SDK**
- [OpenAI Agents Python Documentation](https://openai.github.io/openai-agents-python/) - Official OpenAI Agents SDK for building Python agents
- [OpenAI Agents SDK Quickstart](https://openai.github.io/openai-agents-python/quickstart/) - Official quickstart guide
- [OpenAI Python Library](https://github.com/openai/openai-python) - Official OpenAI Python client
- [OpenAI Developer Resources](https://developers.openai.com/resources) - Official OpenAI development resource hub
- [OpenAI Agents Python Documentation](https://openai.github.io/openai-agents-python/) - Official OpenAI Agents SDK for building Python agents.
- [OpenAI Agents SDK Quickstart](https://openai.github.io/openai-agents-python/quickstart/) - Official quickstart guide.
- [OpenAI Python Library](https://github.com/openai/openai-python) - Official OpenAI Python client.
- [OpenAI Developer Resources](https://developers.openai.com/resources) - Official OpenAI development resource hub.

#### **CrewAI - Multi-Agent Systems**
- [CrewAI Framework](https://github.com/joaomdmoura/crewAI) - Framework for orchestrating role-playing, autonomous AI agents
- [CrewAI Documentation](https://docs.crewai.com/) - Official CrewAI documentation
- [CrewAI Examples](https://github.com/crewAIInc/crewAI-examples) - Official example projects
- [Learn Agentic AI with CrewAI](https://github.com/panaversity/learn-agentic-ai) - Broad CrewAI learning resources
- [CrewAI Framework](https://github.com/joaomdmoura/crewAI) - Framework for orchestrating role-playing, autonomous AI agents.
- [CrewAI Documentation](https://docs.crewai.com/) - Official CrewAI documentation.
- [CrewAI Examples](https://github.com/crewAIInc/crewAI-examples) - Official example projects.
- [Learn Agentic AI with CrewAI](https://github.com/panaversity/learn-agentic-ai) - Broad CrewAI learning resources.

#### **LangGraph - Advanced Agent Workflows**
- [LangGraph](https://github.com/langchain-ai/langgraph) - Build stateful, multi-actor applications with LLMs
- [LangChain Agent Tutorials](https://python.langchain.com/docs/tutorials/) - Official agent and tool-calling tutorials
- [LangGraph](https://github.com/langchain-ai/langgraph) - Build stateful, multi-actor applications with LLMs.
- [LangChain Agent Tutorials](https://python.langchain.com/docs/tutorials/) - Official agent and tool-calling tutorials.

#### **AutoGen - Conversational AI Agents**
- [Microsoft AutoGen](https://github.com/microsoft/autogen) - Multi-agent conversation framework
- [Microsoft AutoGen](https://github.com/microsoft/autogen) - Multi-agent conversation framework.

#### **Agent Development Infrastructure**
- [Anthropic Tool Use](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview) - Official guide to tool calling and agent workflows
- [Google Agent Development Kit](https://google.github.io/adk-docs/) - Official Google ADK docs
- [Model Context Protocol](https://modelcontextprotocol.io/introduction) - Open protocol for connecting models to tools and external context
- [PydanticAI](https://ai.pydantic.dev/) - Type-safe Python agent framework
- [Mastra Docs](https://mastra.ai/docs) - Agent framework with workflows, evals, and observability
- [Dapr Python SDK](https://github.com/dapr/python-sdk) - Building blocks for distributed and stateful Python services
- [Anthropic Tool Use](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview) - Official guide to tool calling and agent workflows.
- [Google Agent Development Kit](https://google.github.io/adk-docs/) - Official Google ADK docs.
- [Model Context Protocol](https://modelcontextprotocol.io/introduction) - Open protocol for connecting models to tools and external context.
- [PydanticAI](https://ai.pydantic.dev/) - Type-safe Python agent framework.
- [Mastra Docs](https://mastra.ai/docs) - Agent framework with workflows, evals, and observability.
- [Dapr Python SDK](https://github.com/dapr/python-sdk) - Building blocks for distributed and stateful Python services.

### 🛠️ Open Source LLM Agent Projects

#### **Minimal & Educational**
- [min-agent](https://github.com/zhouzaida/min-agent) - Minimal 200-line LLM agent for understanding core principles
- [LangChain ReAct Agent](https://github.com/botextractai/ai-langchain-react-agent) - ReAct agent with Python REPL and search
- [OpenSource LLM Agents ReAct](https://github.com/Praveengovianalytics/llm_agents_open_source) - Open-source ReAct implementation references
- [min-agent](https://github.com/zhouzaida/min-agent) - Minimal 200-line LLM agent for understanding core principles.
- [LangChain ReAct Agent](https://github.com/botextractai/ai-langchain-react-agent) - ReAct agent with Python REPL and search.
- [OpenSource LLM Agents ReAct](https://github.com/Praveengovianalytics/llm_agents_open_source) - Open-source ReAct implementation references.

#### **Production-Ready Frameworks**
- [SuperModels](https://github.com/JohannesVC/SuperModels) - Desktop app for running LLM agents with reflection mechanisms
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