Griptape — AI Agent Framework with Cloud Deploy

What is Griptape?

Griptape is a Python framework for building AI agents and workflows with enterprise-grade features. It provides structured pipelines, built-in tools, conversation memory, and off-prompt data processing. Unlike simple agent frameworks, Griptape separates computation from LLM calls — heavy data processing happens off-prompt to save tokens and improve reliability. Griptape Cloud offers managed deployment.

Answer-Ready: Griptape is an enterprise AI agent framework with structured pipelines, 30+ built-in tools, conversation memory, and off-prompt processing. Separates computation from LLM calls for efficiency. Griptape Cloud for managed deployment. 2k+ GitHub stars.

Best for: Teams building production AI agents with complex workflows. Works with: OpenAI, Anthropic Claude, AWS Bedrock, Google Gemini. Setup time: Under 3 minutes.

Core Features

1. Structured Pipelines

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

pipeline = Pipeline()
pipeline.add_tasks(
    PromptTask("Research {{ args[0] }}", id="research"),
    PromptTask("Summarize the research above in 3 bullets", id="summarize"),
)
pipeline.run("quantum computing trends 2025")

2. Built-in Tools (30+)

3. Conversation Memory

from griptape.memory.structure import ConversationMemory

agent = Agent(conversation_memory=ConversationMemory())
agent.run("My name is Alice")
agent.run("What is my name?")  # Remembers: Alice

4. Off-Prompt Processing

from griptape.engines import PromptSummaryEngine

# Large documents processed off-prompt
# Only summaries sent to LLM — saves tokens
agent = Agent(
    tools=[WebScraperTool(off_prompt=True)],
)

5. Workflows (Parallel Execution)

from griptape.structures import Workflow
from griptape.tasks import PromptTask

workflow = Workflow()
research = PromptTask("Research {{ args[0] }}", id="research")
analyze = PromptTask("Analyze {{ args[0] }}", id="analyze")
combine = PromptTask("Combine research and analysis", id="combine")

workflow.add_task(research)
workflow.add_task(analyze)
combine.add_parents([research, analyze])
workflow.add_task(combine)
workflow.run("AI market trends")

FAQ

Q: How does off-prompt processing work? A: Heavy data (web pages, PDFs, CSVs) is processed by dedicated engines outside the LLM context. Only relevant summaries or chunks are passed to the LLM, saving tokens and improving accuracy.

Q: Does it support Claude? A: Yes, natively supports Anthropic Claude, OpenAI, AWS Bedrock, Google, and Azure.

Q: What is Griptape Cloud? A: Managed hosting for Griptape agents with API endpoints, scheduling, and monitoring.