AI agent orchestration tools — AI data 2026 | Stack Overflow Developer Survey

Developer Survey 2026

Question

Have you used any of the following tools for AI agent orchestration or agent frameworks in the past year? Do you want to use any of the following in the next 6 months?

scale
Optional
v2026.1

Data

	Respondents	Percent
LangChain	1,329	30.2%
OpenAI Agents SDK	1,048	23.8%
Terminal Use	832	18.9%
LangGraph	825	18.8%
Llama Stack	767	17.4%
Google ADK	617	14.0%
Hermes Agent	449	10.2%
Vercel AI SDK	395	9.0%
Pydantic AI	390	8.9%
CrewAI	242	5.5%
Semantic Kernel	218	5.0%
AutoGen	200	4.5%
Strands	178	4.0%
DSPy	159	3.6%
Mastra	132	3.0%
Dify	126	2.9%
Smolagents	116	2.6%
Atomic Agents	115	2.6%
Instructor	106	2.4%
Agno	105	2.4%
21st.dev	100	2.3%
GripTape	91	2.1%

Use this data

Citation

Response data is released under the ODbL 1.0, which asks that you attribute it.

Stack Exchange Inc. (2026). “AI agent orchestration tools”. Stack Overflow Developer Survey 2026. Licensed under ODbL 1.0. https://survey.stackoverflow.co/2026/ai/data/ai-orch

JSON

Structured for code, with the question, the year and the source url alongside the numbers.

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      "response": "LangChain",
      "count": 1329,
      "pct": 0.302
    },
    {
      "response": "OpenAI Agents SDK",
      "count": 1048,
      "pct": 0.238
    },
    {
      "response": "Terminal Use",
      "count": 832,
      "pct": 0.189
    },
    {
      "response": "LangGraph",
      "count": 825,
      "pct": 0.188
    },
    {
      "response": "Llama Stack",
      "count": 767,
      "pct": 0.174
    },
    {
      "response": "Google ADK",
      "count": 617,
      "pct": 0.14
    },
    {
      "response": "Hermes Agent",
      "count": 449,
      "pct": 0.102
    },
    {
      "response": "Vercel AI SDK",
      "count": 395,
      "pct": 0.09
    },
    {
      "response": "Pydantic AI",
      "count": 390,
      "pct": 0.089
    },
    {
      "response": "CrewAI",
      "count": 242,
      "pct": 0.055
    },
    {
      "response": "Semantic Kernel",
      "count": 218,
      "pct": 0.05
    },
    {
      "response": "AutoGen",
      "count": 200,
      "pct": 0.045
    },
    {
      "response": "Strands",
      "count": 178,
      "pct": 0.04
    },
    {
      "response": "DSPy",
      "count": 159,
      "pct": 0.036
    },
    {
      "response": "Mastra",
      "count": 132,
      "pct": 0.03
    },
    {
      "response": "Dify",
      "count": 126,
      "pct": 0.029
    },
    {
      "response": "Smolagents",
      "count": 116,
      "pct": 0.026
    },
    {
      "response": "Atomic Agents",
      "count": 115,
      "pct": 0.026
    },
    {
      "response": "Instructor",
      "count": 106,
      "pct": 0.024
    },
    {
      "response": "Agno",
      "count": 105,
      "pct": 0.024
    },
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      "response": "21st.dev",
      "count": 100,
      "pct": 0.023
    },
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      "count": 91,
      "pct": 0.021
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Markdown

A formatted table, ready to paste into a document, an issue or a prompt.

|  | Respondents | Percent |
| --- | ---: | ---: |
| LangChain | 1,329 | 30.2% |
| OpenAI Agents SDK | 1,048 | 23.8% |
| Terminal Use | 832 | 18.9% |
| LangGraph | 825 | 18.8% |
| Llama Stack | 767 | 17.4% |
| Google ADK | 617 | 14.0% |
| Hermes Agent | 449 | 10.2% |
| Vercel AI SDK | 395 | 9.0% |
| Pydantic AI | 390 | 8.9% |
| CrewAI | 242 | 5.5% |
| Semantic Kernel | 218 | 5.0% |
| AutoGen | 200 | 4.5% |
| Strands | 178 | 4.0% |
| DSPy | 159 | 3.6% |
| Mastra | 132 | 3.0% |
| Dify | 126 | 2.9% |
| Smolagents | 116 | 2.6% |
| Atomic Agents | 115 | 2.6% |
| Instructor | 106 | 2.4% |
| Agno | 105 | 2.4% |
| 21st.dev | 100 | 2.3% |
| GripTape | 91 | 2.1% |

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