Griptape — Modular Python AI Agent Framework

What it is

Griptape is a modular Python framework for building AI agents with composable structures, tools, and memory. Its defining feature is Off-Prompt data processing, which keeps sensitive data out of LLM prompts by processing it in isolated environments before passing only the results to the model.

Griptape targets enterprise teams that need AI agents with security guardrails. The framework provides structures (sequential pipelines, parallel workflows), tools (file access, web search, database queries), and memory (conversation, task, metadata) as composable building blocks.

How it saves time or tokens

Griptape's Off-Prompt architecture reduces token usage by processing large datasets outside the LLM context. Instead of stuffing a 10,000-row CSV into a prompt, Griptape processes it locally and sends only the summary or relevant rows to the model.

The composable structure pattern means you build complex agent workflows by combining simple, tested components rather than writing monolithic prompt chains.

How to use

1. Install Griptape:

pip install griptape

1. Create a simple agent:

from griptape.structures import Agent
from griptape.tools import WebSearchTool, FileManagerTool

agent = Agent(
    tools=[WebSearchTool(), FileManagerTool()]
)

agent.run('Find the latest Python release and save it to a file')

1. Build a pipeline for multi-step workflows:

from griptape.structures import Pipeline
from griptape.tasks import PromptTask

pipeline = Pipeline()
pipeline.add_task(PromptTask('Research: {{ args[0] }}'))
pipeline.add_task(PromptTask('Summarize the research above'))
pipeline.run('quantum computing advances 2026')

1. Use Off-Prompt tools for sensitive data processing.

Example

from griptape.structures import Agent
from griptape.tools import SqlClient
from griptape.drivers import SqlDriver

driver = SqlDriver(
    engine_url='sqlite:///company.db'
)
agent = Agent(tools=[SqlClient(sql_driver=driver, off_prompt=True)])
agent.run('What were the top 5 products by revenue last quarter?')

The off_prompt=True flag processes SQL results locally, sending only the answer to the LLM.

Related on TokRepo

• AI Tools for Agents — AI agent frameworks and tools
• Multi-Agent Frameworks — Frameworks for orchestrating multiple AI agents

Common pitfalls

• Not using Off-Prompt for sensitive data. The default behavior sends tool results to the LLM. Enable off_prompt=True for any tool that handles PII, credentials, or proprietary data.
• Over-engineering with pipelines when a single agent suffices. Start with Agent and add Pipeline or Workflow structures only when you need explicit multi-step orchestration.
• Ignoring Griptape Cloud for deployment. Local development works well, but Griptape Cloud provides managed execution, monitoring, and scaling for production agents.
• Failing to review community discussions and changelogs before upgrading. Breaking changes in major versions can disrupt existing workflows. Pin versions in production and test upgrades in staging first.