What AI recommends for ai agent frameworks
When developers ask “What framework should I use to build AI agents?”, this is what Claude · Claude Haiku 4.5, Claude · Claude Opus 4.8, Claude · Claude Sonnet 4.6, ChatGPT, Gemini, Venice · DeepSeek V4 Flash 0731, Venice · Gemini 3.6 Flash, Venice · Kimi K2.6, Venice · Qwen 3.7 Plus and Venice · GLM 5.2 answer. Building agents is a moving target, and the framework landscape shifts with every model release. This board tracks which agent and orchestration frameworks the models recommend, and how developer opinion compares.
Standings frozen August 2026 · methodology · View as Markdown
AI share of voice · August 2026
585 sampled answers · 10 models
- 1LangChainnew29.8%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2—
- 2LlamaIndexnew27.8%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · GLM 5.2—
- 3CrewAInew18.9%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · GLM 5.2—
- 4AutoGennew18.2%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · GLM 5.2—
- 5LangGraphnew17.4%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · GLM 5.2· quiet
- 6Pydantic AInew12.3%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · GLM 5.2—
Share of voice weights each compared model equally: it is the average, across the models, of how often each one named the tool in its own answers, so a model probed more than another can't skew it. Model chips list which AI models named it this month; the pulse is the sentiment of that month's developer mentions across Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more.
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Averaged equally across 10 AI models, LangChain is named in 29.8% of answers about ai agent frameworks (7 of 10 name it).
The 3 prompts behind these standings
- ›What framework should I use to build AI agents? (recommendation)
- ›What are the best LangChain alternatives? (alternatives)
- ›Which framework is best for building an LLM app? (recommendation)
Each prompt is sampled several times per model per probe because answers vary run to run; 585 answers across 8 probe runs fed this month.
Frequently asked questions
How is the ai agent frameworks ranking computed?
BackTalk asks Claude, ChatGPT, Gemini and Perplexity a fixed set of buyer questions about ai agent frameworks, several samples per prompt because answers vary run to run, then extracts which tools each answer recommends. A tool's share of voice is the percentage of all sampled answers that name it. The prompts, sample counts, and models are published on every page; the raw method is the same probe engine BackTalk customers run on their own brands.
How often do the standings update?
Monthly. The current month is a live preview that updates as new answers come in; once the month ends its standings are finalized and never change after that, so a cited number stays exactly what it was when you cited it. Past months keep their own permalink in the archive, and month-over-month deltas track who is rising and falling.
What does the developer pulse column mean?
BackTalk also listens where developers actually talk: Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more. The pulse column summarises the sentiment of that month's developer mentions for each ranked tool, which is how the board can show AI recommending a tool developers are souring on, or overlooking one they praise.
Is AI recommending your tool?
BackTalk runs these same probes for any product: your prompts, your competitors, your share of voice on your own keys, next to every public developer mention of your brand.
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