Comparison
agentscope vs gpt-home
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.
Markdown twin · agentscope alternatives · gpt-home alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | agentscope | gpt-home |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentscope
- Build and run agents you can see, understand and trust.
- gpt-home
- Create personalized smart home assistants with ChatGPT on Raspberry Pi
Stars
- agentscope
- 32k
- gpt-home
- 649
Forks
- agentscope
- 3.5k
- gpt-home
- 68
Open issues
- agentscope
- 374
- gpt-home
- 0
Language
- agentscope
- Python
- gpt-home
- Python
Adopt for
- agentscope
- 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
- 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
- agentscope
- -
- gpt-home
- -
Runtime
- agentscope
- -
- gpt-home
- -
License
- agentscope
- Apache-2.0
- gpt-home
- GPL-3.0
Last pushed
- agentscope
- Sep 18, 2026
- gpt-home
- Sep 13, 2026
Categories
- agentscope
- AI Agents
- gpt-home
- AI Agents, Model Training
Trust and health
Days since push
- agentscope
- 0d
- gpt-home
- 6d
Open issues (now)
- agentscope
- 374
- gpt-home
- 0
Stars delta
- agentscope
- +2.9k (30d)
- gpt-home
- +5 (30d)
Open issues delta
- agentscope
- +20 (30d)
- gpt-home
- 0 (30d)
Owner type
- agentscope
- Organization
- gpt-home
- User
Full report
- agentscope
- Trust report
- gpt-home
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentscope-ai/agentscope) · observed Sep 20, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Sep 20, 2026
- Last push (agentscope-ai/agentscope) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (judahpaul16/gpt-home) · observed Sep 20, 2026
- GitHub forks (judahpaul16/gpt-home) · observed Sep 20, 2026
- Last push (judahpaul16/gpt-home) · observed Sep 13, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentscope 32k · gpt-home 649 (synced Sep 20, 2026).
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 and gpt-home alternatives (agentscope markdown twin, gpt-home markdown twin), 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 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; gpt-home trust report.