openai-agents-python and HelloAgents
The OpenAI framework provides a production-ready multi-agent orchestration system, while HelloAgents is a minimal educational implementation based on tutorial patterns—making them educational reference vs. industrial-strength alternatives rather than complementary tools.
About openai-agents-python
openai/openai-agents-python
A lightweight, powerful framework for multi-agent workflows
Built on provider-agnostic architecture supporting 100+ LLMs, it enables agents to delegate tasks via handoffs, execute actions through functions/MCP/hosted tools, and enforce safety with configurable guardrails. Features include automatic session management for conversation history, integrated tracing for debugging workflows, human-in-the-loop mechanisms, and real-time voice agent support via gpt-realtime-1.5.
About HelloAgents
jjyaoao/HelloAgents
A agent framework based on the tutorial hello-agents
Implements 16 production-grade capabilities including ToolResponse protocol, context engineering (HistoryManager/TokenCounter), session persistence, sub-agent mechanisms via TaskTool, circuit breakers, and observability through TraceLogger. Built on OpenAI-compatible APIs with multi-provider support (OpenAI, Anthropic, Gemini, DeepSeek, local vLLM/Ollama) through three adapter patterns, offering Function Calling architecture across multiple agent types (SimpleAgent, ReActAgent, ReflectionAgent, PlanAndSolveAgent). Provides complete engineering infrastructure for complex multi-agent applications including streaming output (SSE), async lifecycles, optimistic locking for file operations, and decision logging.
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