Griptape
Modular Python framework for predictable, auditable AI agent pipelines
View on GitHubWhat it solves
The agent debugging problem: Griptape's explicit pipeline model gives every execution step a traceable artifact and typed boundary, making failures diagnosable instead of mysterious.
Overview
Griptape is a Python agent framework that prioritizes explicitness over magic. Core abstractions: Pipelines (linear step sequences), Workflows (directed acyclic graphs), and Agents, all composable, all statically typed. Every step produces an Artifact with a full execution trace; input and output schemas are validated at each boundary. The right fit for teams that treat agent code like production software: testable, auditable, and maintainable by people who didn't write it.
Key facts
- Language
- Python
- License
- Apache 2.0
- Maturity
- Stable
- Maintainer
- griptape-ai
- Reviewed
- 2026-06-11
Where to start
Pipelines are the simplest Griptape structure, read this before Workflows or Agents to understand the step-and-artifact model that carries through all three.
docs/griptape-framework/structures/pipelines.mdTechnologies
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