Comparison
agentos vs gpt-home
Verdict
Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; 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.
Markdown twin · agentos alternatives · gpt-home alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | agentos | gpt-home |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 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 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 11, 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
- agentos
- TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration
- gpt-home
- Create personalized smart home assistants with ChatGPT on Raspberry Pi
Stars
- agentos
- 670
- gpt-home
- 649
Forks
- agentos
- 97
- gpt-home
- 68
Open issues
- agentos
- 11
- gpt-home
- 0
Language
- agentos
- TypeScript
- gpt-home
- Python
Adopt for
- agentos
- AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
- 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
- agentos
- -
- gpt-home
- -
Runtime
- agentos
- -
- gpt-home
- -
License
- agentos
- Apache-2.0
- gpt-home
- GPL-3.0
Last pushed
- agentos
- Sep 18, 2026
- gpt-home
- Sep 13, 2026
Categories
- agentos
- AI Agents
- gpt-home
- AI Agents, Model Training
Trust and health
Days since push
- agentos
- 1d
- gpt-home
- 6d
Open issues (now)
- agentos
- 11
- gpt-home
- 0
Stars delta
- agentos
- +69 (30d)
- gpt-home
- +5 (30d)
Open issues delta
- agentos
- +2 (30d)
- gpt-home
- 0 (30d)
Owner type
- agentos
- Organization
- gpt-home
- User
Full report
- agentos
- Trust report
- gpt-home
- Trust report
Choose agentos if…
- agentos is primarily TypeScript; gpt-home is Python.
- License: agentos is Apache-2.0, gpt-home is GPL-3.0.
- Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
- Need for cognitive memory and real-time tool generation in AI agents
When NOT to use agentos
- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options
Choose gpt-home if…
- gpt-home is primarily Python; agentos is TypeScript.
- License: gpt-home is GPL-3.0, agentos 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 (framerslab/agentos) · observed Sep 20, 2026
- GitHub forks (framerslab/agentos) · observed Sep 20, 2026
- Last push (framerslab/agentos) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: agentos 670 · gpt-home 649 (synced Sep 20, 2026).
Common questions
- What is the difference between agentos and gpt-home?
- agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. 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 agentos over gpt-home?
- Choose agentos over gpt-home when agentos is primarily TypeScript; gpt-home is Python; License: agentos is Apache-2.0, gpt-home is GPL-3.0; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.
- When should I choose gpt-home over agentos?
- Choose gpt-home over agentos when gpt-home is primarily Python; agentos is TypeScript; License: gpt-home is GPL-3.0, agentos 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 agentos?
- Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
- 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 agentos or gpt-home more popular on GitHub?
- agentos has more GitHub stars (670 vs 649). Stars measure visibility, not whether either tool fits your constraints.
- Are agentos and gpt-home open source?
- Yes - both are open-source projects on GitHub (agentos: Apache-2.0, gpt-home: GPL-3.0).
- Where can I find alternatives to agentos or gpt-home?
- GraphCanon lists graph-backed alternatives at agentos alternatives and gpt-home alternatives (agentos 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, agentos or gpt-home?
- agentos: 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 agentos and gpt-home?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentos trust report; gpt-home trust report.