--- title: "OfflineLLM vs serge" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jegly-offlinellm-vs-serge-chat-serge" tools: ["jegly-offlinellm", "serge-chat-serge"] --- # OfflineLLM vs serge *GraphCanon updated Aug 13, 2026* ## Verdict Pick OfflineLLM if offlineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities; pick serge if serge is a web interface for interacting with the Alpaca model via llama.cpp, fully dockerized and easy to start using. [OfflineLLM](https://jegly.xyz) reports 204 GitHub stars, 21 forks, and 0 open issues, last pushed Jul 10, 2026. [serge](https://serge.chat) has 5.7k stars, 388 forks, and 33 open issues, last pushed Nov 21, 2025. Figures are from public GitHub metadata via [OfflineLLM's repository](https://github.com/jegly/OfflineLLM) and [serge's repository](https://github.com/serge-chat/serge). | | [OfflineLLM](/tools/jegly-offlinellm.md) | [serge](/tools/serge-chat-serge.md) | | --- | --- | --- | | Tagline | Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp | Web interface for chatting with Alpaca through llama.cpp | | Stars | 204 | 5,716 | | Forks | 21 | 388 | | Open issues | 0 | 33 | | Language | Kotlin | Svelte | | Adopt for | OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities. | Serge is a web interface for interacting with the Alpaca model via llama.cpp, fully dockerized and easy to start using. | | Persona | - | - | | Runtime | - | - | | License | Other | Licensed under dual licenses of Apache-2.0 and MIT License. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OfflineLLM](/tools/jegly-offlinellm.md) | [serge](/tools/serge-chat-serge.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Archived (8%) | | Days since push | 33d | 259d | | Archived on GitHub | No | Yes | | Open issues (now) | 0 | 33 | | Owner type | User | Organization | | Full report | [trust report](/tools/jegly-offlinellm/trust.md) | [trust report](/tools/serge-chat-serge/trust.md) | ## Decision facts: OfflineLLM - **Adopt for:** OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities. ## Decision facts: serge - **Pricing:** freemium - Serge is open source, permitting free use and alteration under its dual licenses, Apache-2.0 and MIT. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** Serge is a web interface for interacting with the Alpaca model via llama.cpp, fully dockerized and easy to start using. - **License detail:** Licensed under dual licenses of Apache-2.0 and MIT License. ## Choose when ### Choose OfflineLLM if… - OfflineLLM is primarily Kotlin; serge is Svelte. - License: OfflineLLM is Other, serge is Apache-2.0. - Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai. - Need a privacy-first solution that operates fully offline ### Choose serge if… - serge is primarily Svelte; OfflineLLM is Kotlin. - License: serge is Apache-2.0, OfflineLLM is Other. - Pricing: Serge is open source, permitting free use and alteration under its dual licenses, Apache-2.0 and MIT.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to serge: alpaca, docker, fastapi, llama. - serge ships Docker support for self-hosted deployment. - Use Serge when you need an out-of-the-box solution for chatting with the Alpaca model without deep technical setup knowledge. Its pre-configured Docker image ensures quick deployment. ## When NOT to use OfflineLLM - Seeking real-time updates or cloud-based AI services - Prioritize integration with web-based features or platforms - Running x86 architecture, as the tool is optimised for ARM ## When NOT to use serge - Avoid Serge if you require a custom model other than Alpaca or need capabilities not provided by the llama.cpp backend. It is specifically tailored for this configuration. - Do not use Serge if your project strictly demands a single software license; it uses both MIT and Apache-2.0, which may conflict with third-party dependencies. ## Common questions ### What is the difference between OfflineLLM and serge? OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. serge: Web interface for chatting with Alpaca through llama.cpp. See the comparison table for live GitHub stats and shared categories. ### When should I choose OfflineLLM over serge? Choose OfflineLLM over serge when OfflineLLM is primarily Kotlin; serge is Svelte; License: OfflineLLM is Other, serge is Apache-2.0; Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai; Need a privacy-first solution that operates fully offline. ### When should I choose serge over OfflineLLM? Choose serge over OfflineLLM when serge is primarily Svelte; OfflineLLM is Kotlin; License: serge is Apache-2.0, OfflineLLM is Other; Pricing: Serge is open source, permitting free use and alteration under its dual licenses, Apache-2.0 and MIT.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to serge: alpaca, docker, fastapi, llama; serge ships Docker support for self-hosted deployment; Use Serge when you need an out-of-the-box solution for chatting with the Alpaca model without deep technical setup knowledge. Its pre-configured Docker image ensures quick deployment. ### When should I avoid OfflineLLM? Seeking real-time updates or cloud-based AI services Prioritize integration with web-based features or platforms Running x86 architecture, as the tool is optimised for ARM ### When should I avoid serge? Avoid Serge if you require a custom model other than Alpaca or need capabilities not provided by the llama.cpp backend. It is specifically tailored for this configuration. Do not use Serge if your project strictly demands a single software license; it uses both MIT and Apache-2.0, which may conflict with third-party dependencies. ### Is OfflineLLM or serge more popular on GitHub? serge has more GitHub stars (5,716 vs 204). Stars measure visibility, not whether either tool fits your constraints. ### Are OfflineLLM and serge open source? Yes - both are open-source projects on GitHub (OfflineLLM: Other, serge: Apache-2.0). ### Where can I find alternatives to OfflineLLM or serge? GraphCanon lists graph-backed alternatives at [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) and [serge alternatives](/tools/serge-chat-serge/alternatives) ([OfflineLLM markdown twin](/tools/jegly-offlinellm/alternatives.md), [serge markdown twin](/tools/serge-chat-serge/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/jegly-offlinellm-vs-serge-chat-serge.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OfflineLLM or serge? OfflineLLM: Steady. serge: Archived. 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 OfflineLLM and serge? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OfflineLLM trust report](/tools/jegly-offlinellm/trust); [serge trust report](/tools/serge-chat-serge/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jegly-offlinellm`](/api/graphcanon/graph?tool=jegly-offlinellm) - 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/_