Comparison
gpt-home vs agents-from-scratch
Verdict
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 offerings; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning.
Markdown twin · gpt-home alternatives · agents-from-scratch alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | gpt-home | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 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 Jul 15, 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
- gpt-home
- Create personalized smart home assistants with ChatGPT on Raspberry Pi
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- gpt-home
- 649
- agents-from-scratch
- 1.0k
Forks
- gpt-home
- 68
- agents-from-scratch
- 251
Open issues
- gpt-home
- 0
- agents-from-scratch
- 4
Language
- gpt-home
- Python
- agents-from-scratch
- Python
Adopt for
- 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.
- agents-from-scratch
- agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
Persona
- gpt-home
- -
- agents-from-scratch
- -
Runtime
- gpt-home
- -
- agents-from-scratch
- -
License
- gpt-home
- GPL-3.0
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- gpt-home
- Sep 13, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- gpt-home
- AI Agents, Model Training
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- gpt-home
- Very active (96%)
- agents-from-scratch
- Steady (60%)
Days since push
- gpt-home
- 6d
- agents-from-scratch
- 56d
Open issues (now)
- gpt-home
- 0
- agents-from-scratch
- 4
Stars delta
- gpt-home
- +5 (30d)
- agents-from-scratch
- +63 (30d)
Open issues delta
- gpt-home
- 0 (30d)
- agents-from-scratch
- +1 (30d)
Full report
- gpt-home
- Trust report
- agents-from-scratch
- Trust report
Choose gpt-home if…
- License: gpt-home is GPL-3.0, agents-from-scratch is MIT.
- 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.
Choose agents-from-scratch if…
- License: agents-from-scratch is MIT, gpt-home is GPL-3.0.
- Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
- Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm.
- Also covers Developer Tools.
- You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
When NOT to use agents-from-scratch
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
- If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (pguso/agents-from-scratch) · observed Sep 20, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Sep 20, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gpt-home 649 · agents-from-scratch 1.0k (synced Sep 20, 2026).
Common questions
- What is the difference between gpt-home and agents-from-scratch?
- gpt-home: Create personalized smart home assistants with ChatGPT on Raspberry Pi. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt-home over agents-from-scratch?
- Choose gpt-home over agents-from-scratch when License: gpt-home is GPL-3.0, agents-from-scratch is MIT; 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 choose agents-from-scratch over gpt-home?
- Choose agents-from-scratch over gpt-home when License: agents-from-scratch is MIT, gpt-home is GPL-3.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; Also covers Developer Tools; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
- 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.
- When should I avoid agents-from-scratch?
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
- Is gpt-home or agents-from-scratch more popular on GitHub?
- agents-from-scratch has more GitHub stars (1,017 vs 649). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-home and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (gpt-home: GPL-3.0, agents-from-scratch: MIT).
- Where can I find alternatives to gpt-home or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at gpt-home alternatives and agents-from-scratch alternatives (gpt-home markdown twin, agents-from-scratch 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, gpt-home or agents-from-scratch?
- gpt-home: Very active. agents-from-scratch: Steady. 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 gpt-home and agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-home trust report; agents-from-scratch trust report.