Comparison
OfflineLLM vs claude-code-local
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 claude-code-local if claude-code-local offers an MLX-native Anthropic-API server and support for running large models locally on Apple Silicon with high token throughput and privacy guarantees.
Markdown twin · OfflineLLM alternatives · claude-code-local alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | OfflineLLM | claude-code-local |
|---|---|---|
| Maintenance | Steady (32d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d 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
- OfflineLLM
- Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp
- claude-code-local
- Run Claude Code on-device using local AI models for privacy-sensitive workflows.
Stars
- OfflineLLM
- 240
- claude-code-local
- 3.3k
Forks
- OfflineLLM
- 23
- claude-code-local
- 627
Open issues
- OfflineLLM
- 7
- claude-code-local
- 2
Language
- OfflineLLM
- Kotlin
- claude-code-local
- Python
Adopt for
- OfflineLLM
- OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities.
- claude-code-local
- claude-code-local offers an MLX-native Anthropic-API server and support for running large models locally on Apple Silicon with high token throughput and privacy guarantees.
Persona
- OfflineLLM
- -
- claude-code-local
- -
Runtime
- OfflineLLM
- -
- claude-code-local
- -
License
- OfflineLLM
- Other
- claude-code-local
- MIT
Last pushed
- OfflineLLM
- Aug 18, 2026
- claude-code-local
- Sep 19, 2026
Categories
- OfflineLLM
- Inference & Serving, LLM Frameworks
- claude-code-local
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- OfflineLLM
- Steady (60%)
- claude-code-local
- Very active (96%)
Days since push
- OfflineLLM
- 32d
- claude-code-local
- 0d
Open issues (now)
- OfflineLLM
- 7
- claude-code-local
- 2
Stars delta
- OfflineLLM
- +36 (30d)
- claude-code-local
- +128 (30d)
Open issues delta
- OfflineLLM
- +7 (30d)
- claude-code-local
- +1 (30d)
Full report
- OfflineLLM
- Trust report
- claude-code-local
- Trust report
Choose OfflineLLM if…
- OfflineLLM is primarily Kotlin; claude-code-local is Python.
- License: OfflineLLM is Other, claude-code-local is MIT.
- Tags unique to OfflineLLM: android, local-llm, privacy-first-ai, private-local-ai.
- Need a privacy-first solution that operates fully offline
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
Choose claude-code-local if…
- claude-code-local is primarily Python; OfflineLLM is Kotlin.
- License: claude-code-local is MIT, OfflineLLM is Other.
- Pricing: Free to use under the MIT license; premium support or features may incur costs not detailed in the repository..
- Requirements: - Needs Apple Silicon hardware.; - Compatible with Python..
- Tags unique to claude-code-local: ai-privacy, airgap, anthropic-api, apple-silicon.
- - You need to conduct NDA, legal or healthcare projects that require strict data privacy and airgapping.
When NOT to use claude-code-local
- - If you are not working within the Apple ecosystem as it primarily supports devices running Apple Silicon.
- - For workflows where real-time collaboration and cloud-sharing features are integral to your operations, as claude-code-local focuses on local execution.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jegly/OfflineLLM) · observed Sep 20, 2026
- GitHub forks (jegly/OfflineLLM) · observed Sep 20, 2026
- Last push (jegly/OfflineLLM) · observed Aug 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (nicedreamzapp/claude-code-local) · observed Sep 20, 2026
- GitHub forks (nicedreamzapp/claude-code-local) · observed Sep 20, 2026
- Last push (nicedreamzapp/claude-code-local) · observed Sep 19, 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: OfflineLLM 240 · claude-code-local 3.3k (synced Sep 20, 2026).
Common questions
- What is the difference between OfflineLLM and claude-code-local?
- OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. claude-code-local: Run Claude Code on-device using local AI models for privacy-sensitive workflows.. See the comparison table for live GitHub stats and shared categories.
- When should I choose OfflineLLM over claude-code-local?
- Choose OfflineLLM over claude-code-local when OfflineLLM is primarily Kotlin; claude-code-local is Python; License: OfflineLLM is Other, claude-code-local is MIT; Tags unique to OfflineLLM: android, local-llm, privacy-first-ai, private-local-ai; Need a privacy-first solution that operates fully offline.
- When should I choose claude-code-local over OfflineLLM?
- Choose claude-code-local over OfflineLLM when claude-code-local is primarily Python; OfflineLLM is Kotlin; License: claude-code-local is MIT, OfflineLLM is Other; Pricing: Free to use under the MIT license; premium support or features may incur costs not detailed in the repository.; Requirements: - Needs Apple Silicon hardware.; - Compatible with Python.; Tags unique to claude-code-local: ai-privacy, airgap, anthropic-api, apple-silicon; - You need to conduct NDA, legal or healthcare projects that require strict data privacy and airgapping.
- 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 claude-code-local?
- - If you are not working within the Apple ecosystem as it primarily supports devices running Apple Silicon. - For workflows where real-time collaboration and cloud-sharing features are integral to your operations, as claude-code-local focuses on local execution.
- Is OfflineLLM or claude-code-local more popular on GitHub?
- claude-code-local has more GitHub stars (3,321 vs 240). Stars measure visibility, not whether either tool fits your constraints.
- Are OfflineLLM and claude-code-local open source?
- Yes - both are open-source projects on GitHub (OfflineLLM: Other, claude-code-local: MIT).
- Where can I find alternatives to OfflineLLM or claude-code-local?
- GraphCanon lists graph-backed alternatives at OfflineLLM alternatives and claude-code-local alternatives (OfflineLLM markdown twin, claude-code-local 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, OfflineLLM or claude-code-local?
- OfflineLLM: Steady. claude-code-local: 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 claude-code-local?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OfflineLLM trust report; claude-code-local trust report.