---
title: "OfflineLLM vs openmed"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/jegly-offlinellm-vs-maziyarpanahi-openmed"
tools: ["jegly-offlinellm", "maziyarpanahi-openmed"]
---

# OfflineLLM vs openmed

*GraphCanon updated Sep 20, 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 openmed if openmed supplies localized AI for clinical NER tasks and HIPAA-compliant PII de-identification across 12 languages with over 1000 models, operable on-device in Python or Apple MLX.

[OfflineLLM](https://jegly.xyz) reports 240 GitHub stars, 23 forks, and 7 open issues, last pushed Aug 18, 2026. [openmed](https://openmed.life/) has 5.3k stars, 680 forks, and 517 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [OfflineLLM's repository](https://github.com/jegly/OfflineLLM) and [openmed's repository](https://github.com/maziyarpanahi/openmed).

| | [OfflineLLM](/tools/jegly-offlinellm.md) | [openmed](/tools/maziyarpanahi-openmed.md) |
| --- | --- | --- |
| Tagline | Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp | Local-first healthcare AI for clinical NER and HIPAA PII de-identification. |
| Stars | 240 | 5,346 |
| Forks | 23 | 680 |
| Open issues | 7 | 517 |
| Language | Kotlin | Python |
| 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. | openmed supplies localized AI for clinical NER tasks and HIPAA-compliant PII de-identification across 12 languages with over 1000 models, operable on-device in Python or Apple MLX. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | Apache-2.0 |
| 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) | [openmed](/tools/maziyarpanahi-openmed.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 32d | 0d |
| Open issues (now) | 7 | 517 |
| Stars delta | +36 (30d) | +372 (30d) |
| Open issues delta | +7 (30d) | -160 (30d) |
| Full report | [trust report](/tools/jegly-offlinellm/trust.md) | [trust report](/tools/maziyarpanahi-openmed/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: openmed

- **Adopt for:** openmed supplies localized AI for clinical NER tasks and HIPAA-compliant PII de-identification across 12 languages with over 1000 models, operable on-device in Python or Apple MLX.

## Choose when

### Choose OfflineLLM if…

- OfflineLLM is primarily Kotlin; openmed is Python.
- License: OfflineLLM is Other, openmed 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 openmed if…

- openmed is primarily Python; OfflineLLM is Kotlin.
- License: openmed is Apache-2.0, OfflineLLM is Other.
- Tags unique to openmed: clinical-nlp, healthcare, hipaa, ios.
- openmed ships Docker support for self-hosted deployment.
- When you need full data sovereignty with no cloud dependency

## 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 openmed

- Avoid if flexible model training and updates from the cloud are preferred
- Not suitable for environments without powerful edge devices
- If a broad ecosystem of AI tools beyond clinical NER is needed

## Common questions

### What is the difference between OfflineLLM and openmed?

OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. openmed: Local-first healthcare AI for clinical NER and HIPAA PII de-identification.. See the comparison table for live GitHub stats and shared categories.

### When should I choose OfflineLLM over openmed?

Choose OfflineLLM over openmed when OfflineLLM is primarily Kotlin; openmed is Python; License: OfflineLLM is Other, openmed 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 openmed over OfflineLLM?

Choose openmed over OfflineLLM when openmed is primarily Python; OfflineLLM is Kotlin; License: openmed is Apache-2.0, OfflineLLM is Other; Tags unique to openmed: clinical-nlp, healthcare, hipaa, ios; openmed ships Docker support for self-hosted deployment; When you need full data sovereignty with no cloud dependency.

### 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 openmed?

Avoid if flexible model training and updates from the cloud are preferred Not suitable for environments without powerful edge devices If a broad ecosystem of AI tools beyond clinical NER is needed

### Is OfflineLLM or openmed more popular on GitHub?

openmed has more GitHub stars (5,346 vs 240). Stars measure visibility, not whether either tool fits your constraints.

### Are OfflineLLM and openmed open source?

Yes - both are open-source projects on GitHub (OfflineLLM: Other, openmed: Apache-2.0).

### Where can I find alternatives to OfflineLLM or openmed?

GraphCanon lists graph-backed alternatives at [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) and [openmed alternatives](/tools/maziyarpanahi-openmed/alternatives) ([OfflineLLM markdown twin](/tools/jegly-offlinellm/alternatives.md), [openmed markdown twin](/tools/maziyarpanahi-openmed/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-maziyarpanahi-openmed.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, OfflineLLM or openmed?

OfflineLLM: Steady. openmed: 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 OfflineLLM and openmed?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OfflineLLM trust report](/tools/jegly-offlinellm/trust); [openmed trust report](/tools/maziyarpanahi-openmed/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/_
