Comparison
claude-code-local vs llm
Verdict
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; pick llm if decision-critical facts for 'llm'.
Markdown twin · claude-code-local alternatives · llm alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | claude-code-local | llm |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 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 7, 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 11, 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
- claude-code-local
- Run Claude Code on-device using local AI models for privacy-sensitive workflows.
- llm
- Access large language models from the command-line
Stars
- claude-code-local
- 3.3k
- llm
- 12k
Forks
- claude-code-local
- 627
- llm
- 978
Open issues
- claude-code-local
- 2
- llm
- 689
Language
- claude-code-local
- Python
- llm
- Python
Adopt for
- 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.
- llm
- Decision-critical facts for 'llm'
Persona
- claude-code-local
- -
- llm
- -
Runtime
- claude-code-local
- -
- llm
- -
License
- claude-code-local
- MIT
- llm
- Apache-2.0
Last pushed
- claude-code-local
- Sep 19, 2026
- llm
- Sep 2, 2026
Categories
- claude-code-local
- Inference & Serving, LLM Frameworks
- llm
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- claude-code-local
- 0d
- llm
- 4d
Open issues (now)
- claude-code-local
- 2
- llm
- 689
Stars delta
- claude-code-local
- +128 (30d)
- llm
- +149 (30d)
Open issues delta
- claude-code-local
- +1 (30d)
- llm
- +25 (30d)
Full report
- claude-code-local
- Trust report
- llm
- Trust report
Choose claude-code-local if…
- License: claude-code-local is MIT, llm is Apache-2.0.
- 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.
Choose llm if…
- License: llm is Apache-2.0, claude-code-local is MIT.
- Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities..
- Tags unique to llm: ai, llms, openai.
- - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.
When NOT to use llm
- - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based.
- - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (simonw/llm) · observed Sep 20, 2026
- GitHub forks (simonw/llm) · observed Sep 20, 2026
- Last push (simonw/llm) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: claude-code-local 3.3k · llm 12k (synced Sep 20, 2026).
Common questions
- What is the difference between claude-code-local and llm?
- claude-code-local: Run Claude Code on-device using local AI models for privacy-sensitive workflows.. llm: Access large language models from the command-line. See the comparison table for live GitHub stats and shared categories.
- When should I choose claude-code-local over llm?
- Choose claude-code-local over llm when License: claude-code-local is MIT, llm is Apache-2.0; 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 choose llm over claude-code-local?
- Choose llm over claude-code-local when License: llm is Apache-2.0, claude-code-local is MIT; Requirements: - Installation supports multiple methods including
pip, Homebrew (with caveats noted),pipx, anduv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms, openai; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods. - 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.
- When should I avoid llm?
- - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
- Is claude-code-local or llm more popular on GitHub?
- llm has more GitHub stars (12,473 vs 3,321). Stars measure visibility, not whether either tool fits your constraints.
- Are claude-code-local and llm open source?
- Yes - both are open-source projects on GitHub (claude-code-local: MIT, llm: Apache-2.0).
- Where can I find alternatives to claude-code-local or llm?
- GraphCanon lists graph-backed alternatives at claude-code-local alternatives and llm alternatives (claude-code-local markdown twin, llm 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, claude-code-local or llm?
- claude-code-local: Very active. llm: 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 claude-code-local and llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: claude-code-local trust report; llm trust report.