griptape vs ROMA
Python frameworks for AI workflows compared
griptape and ROMA are Python frameworks for building LLM applications that combine models, tools, and structured tasks. griptape offers a broad set of reusable components for agents, pipelines, and workflows, while ROMA focuses on recursively decomposing goals and coordinating multi-agent execution.
griptape: Build AI Agents and Workflows in Python
Griptape is a modular Python framework for building generative AI applications with tasks, agents, pipelines, and workflows. It suits developers who want to combine language models with tools, memory, and retrieval components through swappable integrations.
ROMA: Build Hierarchical Multi-Agent Systems
ROMA is a Python framework for solving complex tasks through recursive planning and coordinated agents. It suits developers building extensible multi-agent workflows with LLMs, tools, and optional persistence or API services.
| griptape | ROMA | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | — |
| Stars | 2.6k | 5.2k |
| Forks | 263 | 775 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- griptape supports sequential and parallel workflows alongside agents; ROMA centers on recursive task decomposition, execution, and result aggregation.
- griptape highlights memory, retrieval, and reusable engines for tasks such as RAG and summarization; ROMA highlights configurable planning and execution modules with optional verification.
- griptape offers swappable drivers for model providers and services; ROMA describes configurable language models and DSPy prediction strategies.
- ROMA includes optional API, CLI, persistence, storage, and observability components; griptape's description focuses on framework components and integrations.
- ROMA is marked Beta and requires LLM provider credentials to run tasks; griptape's supplied considerations emphasize configuring drivers and external services.
- griptape uses the Apache-2.0 license; ROMA's supplied project facts do not specify a license.
Choose griptape if you…
- need a Python framework for agents, pipelines, or workflows with sequential and parallel task organization.
- want to combine memory, retrieval, tools, and swappable service drivers in an application.
- are building reusable patterns for RAG, extraction, summarization, or evaluation.
Choose ROMA if you…
- need recursive decomposition of complex goals into subtasks that are executed and aggregated.
- want configurable planning and execution modules, with optional verification and callable tools.
- need optional API, persistence, storage, or observability components for a multi-agent workflow.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.