Capability · Framework — agents
Griptape
Griptape is a Python framework focused on production agent engineering. Its signature idea is 'off-prompt' data — artifacts and tool outputs stay in a structured memory store, and the LLM reads only the metadata it needs, reducing hallucinations and leakage. It bundles Agents, Pipelines, and Workflows as explicit Structures, plus Griptape Cloud for hosted execution and Griptape Nodes for a visual builder.
Framework facts
- Category
- agents
- Language
- Python
- License
- Apache-2.0
- Repository
- https://github.com/griptape-ai/griptape
Install
pip install griptape[all]Quickstart
from griptape.structures import Agent
from griptape.tools import WebScraperTool, PromptSummaryTool
agent = Agent(tools=[WebScraperTool(off_prompt=True), PromptSummaryTool(off_prompt=False)])
agent.run('Summarise https://griptape.ai')Alternatives
- LangChain — broader ecosystem
- CrewAI — role-based multi-agent
- Agno — fast agent runtime
Frequently asked questions
What is off-prompt data?
Griptape stores tool outputs in a TaskMemory store and passes only references (IDs/metadata) to the LLM. Later tools can load the real content, so you never blow out context windows or leak raw PII into prompts.
Is Griptape production-ready?
Yes — it's used for enterprise agents, and Griptape Cloud plus Griptape Nodes provide managed hosting and a visual pipeline builder.
Sources
- Griptape docs — accessed 2026-04-20
- Griptape GitHub — accessed 2026-04-20