Griptape

What it does

Griptape is an open-source Python framework for developing generative AI applications. Developers define tasks, organize them into agents, sequential pipelines or parallel workflows, and connect model providers and data stores through drivers. Its tools and engines support retrieval-augmented generation, extracting JSON or CSV from text, summarization and evaluation of generated text. Conversation memory can retain information across interactions; task memory can keep large task outputs outside the model prompt.

Install the library in a Python environment, configure credentials for the providers you use and start with a prompt task. The quickstart uses OpenAI by default and shows how to switch providers; optional dependencies enable integrations such as Anthropic and Pinecone. Application code, provider permissions and evaluation remain the developer’s responsibility. The Apache-2.0 library has no license fee, while inference, storage and hosting costs depend on the deployment. Griptape Nodes and Griptape Cloud are separate offerings with their own interfaces and terms.

What it can do

• Build agents, pipelines and parallel task workflows
• Connect models and storage through replaceable drivers
• Build retrieval-augmented generation pipelines
• Extract structured JSON or CSV, summarize text and evaluate generated outputs
• Manage conversation and task memory
• Extend agents with built-in or custom tools

Works with

• OpenAI API
• Anthropic API
• Pinecone

Before you choose

• Provider inference, storage and hosting charges are separate from the free library.
• Optional drivers need their corresponding dependencies and provider credentials.
• Griptape Nodes and Cloud are separate offerings; their UI, plans and hosting are not included in this library listing.

Listed under

• Coding
• MCP and agent tools
• AI agents
• Cloud hosting
• Creatives
• Creative tools
• Developer framework
• Developers

Get started

Choose core or optional integration dependencies and configure provider credentials.

1. Create a Python environment and install griptape with pip or uv.
2. Install optional dependencies and configure the model-provider credentials needed for your application.
3. Run a prompt task, then add tools, memory or retrieval and validate the resulting behavior.

Apache-2.0 Python library; provider inference, storage and hosting are separate.

Source: github.com/griptape-ai/griptape, checked 1 Nov 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

• GitHub - griptape-ai/griptape: Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory. · GitHub ↗github.com
• Overview - Griptape Docs ↗docs.griptape.ai
• Griptape | Orchestrate multiple AI models and agents within secure, professional workflows ↗www.griptape.ai
• Our Team | Griptape ↗www.griptape.ai
• Foundry acquires Griptape a pioneer in AI orchestration | Foundry ↗www.foundry.com
• Griptape | Orchestrate multiple AI models and agents within secure, professional workflows ↗www.griptape.ai
• Overview - Griptape Docs ↗docs.griptape.ai

Company website

docs.griptape.ai: product, pricing and policy pages

YC directory mirror

Batch and company name

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.