--- title: "agentscope vs gpt-home" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-judahpaul16-gpt-home" tools: ["agentscope-ai-agentscope", "judahpaul16-gpt-home"] --- # agentscope vs gpt-home *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentscope if agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities; pick gpt-home if gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial. [agentscope](https://docs.agentscope.io/) reports 32k GitHub stars, 3.5k forks, and 374 open issues, last pushed Sep 18, 2026. [gpt-home](https://hub.docker.com/r/judahpaul/gpt-home) has 649 stars, 68 forks, and 0 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [agentscope's repository](https://github.com/agentscope-ai/agentscope) and [gpt-home's repository](https://github.com/judahpaul16/gpt-home). | | [agentscope](/tools/agentscope-ai-agentscope.md) | [gpt-home](/tools/judahpaul16-gpt-home.md) | | --- | --- | --- | | Tagline | Build and run agents you can see, understand and trust. | Create personalized smart home assistants with ChatGPT on Raspberry Pi | | Stars | 31,912 | 649 | | Forks | 3,517 | 68 | | Open issues | 374 | 0 | | Language | Python | Python | | Adopt for | agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities. | gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentscope](/tools/agentscope-ai-agentscope.md) | [gpt-home](/tools/judahpaul16-gpt-home.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 374 | 0 | | Stars delta | +2.9k (30d) | +5 (30d) | | Open issues delta | +20 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/judahpaul16-gpt-home/trust.md) | ## Decision facts: agentscope - **Requirements:** Requires Python 3.11 or higher. - **Adopt for:** agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities. - **License detail:** Apache-2.0 ## Decision facts: gpt-home - **Adopt for:** gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings. ## Choose when ### Choose agentscope if… - License: agentscope is Apache-2.0, gpt-home is GPL-3.0. - Requirements: Requires Python 3.11 or higher.. - Tags unique to agentscope: agent, chatbot, large-language-models, llm. - When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants. ### Choose gpt-home if… - License: gpt-home is GPL-3.0, agentscope is Apache-2.0. - Tags unique to gpt-home: ai, automation, docker, fastapi. - Also covers Model Training. - gpt-home ships Docker support for self-hosted deployment. - If you need high customization in your smart home assistant capabilities, such as integrating unique voice commands or automations that fit your specific home environment. ## When NOT to use agentscope - If your project requires a framework that supports Python versions lower than 3.11. - When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features. ## When NOT to use gpt-home - If rapid deployment and immediate functionality are prioritized over customization. The DIY nature requires technical skills and time investment. - In scenarios preferring commercial-grade reliability and support, where maintaining the setup can be more demanding with self-made systems. ## Common questions ### What is the difference between agentscope and gpt-home? agentscope: Build and run agents you can see, understand and trust.. gpt-home: Create personalized smart home assistants with ChatGPT on Raspberry Pi. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentscope over gpt-home? Choose agentscope over gpt-home when License: agentscope is Apache-2.0, gpt-home is GPL-3.0; Requirements: Requires Python 3.11 or higher.; Tags unique to agentscope: agent, chatbot, large-language-models, llm; When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants. ### When should I choose gpt-home over agentscope? Choose gpt-home over agentscope when License: gpt-home is GPL-3.0, agentscope is Apache-2.0; Tags unique to gpt-home: ai, automation, docker, fastapi; Also covers Model Training; gpt-home ships Docker support for self-hosted deployment; If you need high customization in your smart home assistant capabilities, such as integrating unique voice commands or automations that fit your specific home environment. ### When should I avoid agentscope? If your project requires a framework that supports Python versions lower than 3.11. When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features. ### When should I avoid gpt-home? If rapid deployment and immediate functionality are prioritized over customization. The DIY nature requires technical skills and time investment. In scenarios preferring commercial-grade reliability and support, where maintaining the setup can be more demanding with self-made systems. ### Is agentscope or gpt-home more popular on GitHub? agentscope has more GitHub stars (31,912 vs 649). Stars measure visibility, not whether either tool fits your constraints. ### Are agentscope and gpt-home open source? Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, gpt-home: GPL-3.0). ### Where can I find alternatives to agentscope or gpt-home? GraphCanon lists graph-backed alternatives at [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) and [gpt-home alternatives](/tools/judahpaul16-gpt-home/alternatives) ([agentscope markdown twin](/tools/agentscope-ai-agentscope/alternatives.md), [gpt-home markdown twin](/tools/judahpaul16-gpt-home/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentscope-ai-agentscope-vs-judahpaul16-gpt-home.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentscope or gpt-home? agentscope: Very active. gpt-home: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentscope and gpt-home? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentscope trust report](/tools/agentscope-ai-agentscope/trust); [gpt-home trust report](/tools/judahpaul16-gpt-home/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentscope-ai-agentscope`](/api/graphcanon/graph?tool=agentscope-ai-agentscope) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_