OpenAI Agents SDK (Python)
OpenAI’s MIT-licensed Python kit for multi-agent workflows, handoffs, guardrails, and tracing with the Responses API.
Why it is included
Prominent on TAAFT’s #llm repository index as OpenAI’s official open multi-agent framework.
Best for
Teams standardizing on OpenAI models who want structured agent graphs in Python.
Strengths
- First-party patterns
- Tracing hooks
- Composable agents
Limitations
- Vendor API assumptions; not a local-model-first stack
Good alternatives
LangChain · LlamaIndex agents · DeerFlow
Related tools
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LangChain
Framework for building LLM applications with chains, tools, and agents.
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DeerFlow
ByteDance open agent harness for long-horizon research, coding, and creation with tools, memory, and subagents.
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OpenAI gpt-oss (Hub)
OpenAI’s open-weight GPT-OSS checkpoints (e.g. 20B, 120B) hosted on Hugging Face for local inference and fine-tuning.
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LlamaIndex
Data framework for LLM applications: ingestion, indexing, retrieval, and agents over documents and APIs.
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MNN
Alibaba’s lightweight inference engine for mobile and edge—used for on-device LLMs and classic CV models with aggressive optimization.
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rtp-llm
Alibaba’s high-performance LLM inference engine (CUDA-focused) for production serving of diverse decoder architectures.
