--- title: "agentos vs gpt-home" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-judahpaul16-gpt-home" tools: ["framerslab-agentos", "judahpaul16-gpt-home"] --- # agentos vs gpt-home *GraphCanon updated Sep 20, 2026* ## 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. [agentos](https://docs.agentos.sh) reports 670 GitHub stars, 97 forks, and 11 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 [agentos's repository](https://github.com/framerslab/agentos) and [gpt-home's repository](https://github.com/judahpaul16/gpt-home). | | [agentos](/tools/framerslab-agentos.md) | [gpt-home](/tools/judahpaul16-gpt-home.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | Create personalized smart home assistants with ChatGPT on Raspberry Pi | | Stars | 670 | 649 | | Forks | 97 | 68 | | Open issues | 11 | 0 | | Language | TypeScript | Python | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | 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._ | | [agentos](/tools/framerslab-agentos.md) | [gpt-home](/tools/judahpaul16-gpt-home.md) | | --- | --- | --- | | Days since push | 1d | 6d | | Open issues (now) | 11 | 0 | | Stars delta | +69 (30d) | +5 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/judahpaul16-gpt-home/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## 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 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 ### 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## 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 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](/tools/framerslab-agentos/alternatives) and [gpt-home alternatives](/tools/judahpaul16-gpt-home/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/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/framerslab-agentos-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, 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](/tools/framerslab-agentos/trust); [gpt-home trust report](/tools/judahpaul16-gpt-home/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=framerslab-agentos`](/api/graphcanon/graph?tool=framerslab-agentos) - 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/_