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View Full Features →Both. The core Griptape Python framework is open-source under the MIT license and available on GitHub at github.com/griptape-ai/griptape. Griptape Cloud, the managed hosting and orchestration platform, is a commercial product with a free tier and paid plans for production workloads.
Both let you build LLM-powered agents in Python, but Griptape emphasizes structured, predictable execution through explicit Pipelines and Workflows, built-in Rules-based guardrails, and an 'off-prompt' pattern that keeps large or sensitive data out of the LLM context. LangChain is more flexible and has a larger ecosystem but typically requires more glue code and external services to reach production.
Griptape uses a Driver architecture and supports OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Google, Cohere, Hugging Face, and local models via Ollama, among others. You can switch providers by changing the Driver without rewriting your agent logic.
Griptape Nodes is a visual node-based builder aimed at creators and non-developers. It lets you wire together generative AI models and tools (text, image, audio, video) on a canvas to build workflows without writing Python, while running on the same underlying Griptape engine.
Yes. Because the framework is open source, you can run Griptape agents anywhere Python runs — locally, in containers, on your own cloud accounts, or in serverless environments. Griptape Cloud is offered as an optional managed alternative for teams that prefer not to operate the infrastructure themselves.
AI builders and operators use Griptape to streamline their workflow.
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