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Comparison

LocalAI vs ollama

Verdict

Pick LocalAI if localAI is an open-source AI engine that supports running a variety of models including LLMs, vision, voice, image, and video models on any hardware without requiring a GPU; pick ollama if ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.

Markdown twin · LocalAI alternatives · ollama alternatives

GraphCanon updated Sep 30, 2026

17views this month

LocalAI logo

LocalAI

mudler/LocalAI

★ 49kpushed Sep 18, 2026
vs
ollama logo

ollama

ollama/ollama

★ 181kpushed Sep 17, 2026

Trust & integrity

SignalLocalAIollama
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Published findings
As of Aug 9, 2026 · deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
No public record from this source
As of Aug 2, 2026 · openssf-scorecard@v1
LocalAI trust reportollama trust reportTrust methodology

Tagline

LocalAI
Open-source AI engine for running various models on any hardware
ollama
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Stars

LocalAI
49k
ollama
181k

Forks

LocalAI
4.5k
ollama
18k

Open issues

LocalAI
178
ollama
4.0k

Language

LocalAI
Go
ollama
Go

Adopt for

LocalAI
LocalAI is an open-source AI engine that supports running a variety of models including LLMs, vision, voice, image, and video models on any hardware without requiring a GPU.
ollama
Ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.

Persona

LocalAI
-
ollama
-

Runtime

LocalAI
-
ollama
-

License

LocalAI
MIT
ollama
MIT

Last pushed

LocalAI
Sep 18, 2026
ollama
Sep 17, 2026

Categories

LocalAI
AI Agents, Computer Vision, Data & Retrieval, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
ollama
Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

LocalAI
178
ollama
4.0k

Stars delta

LocalAI
+650 (30d)
ollama
+3.7k (30d)

Open issues delta

LocalAI
+22 (30d)
ollama
+451 (30d)

Owner type

LocalAI
User
ollama
Organization

deps.dev advisories

LocalAI
Not queried
ollama
Published findings

OpenSSF Scorecard

LocalAI
Not queried
ollama
No public record from this source

Full report

LocalAI
Trust report
ollama
Trust report

Typed relationship

LocalAI alternative ollamaBoth LocalAI and ollama aim to provide a user-friendly way to run LLMs locally.

Choose LocalAI if…

  • Both LocalAI and ollama aim to provide a user-friendly way to run LLMs locally.
  • Tags unique to LocalAI: agents, ai, api, audio-generation.
  • Also covers AI Agents, Computer Vision, Data & Retrieval, Model Training, Speech & Audio.
  • When you need to run AI models on hardware that lacks a GPU, as LocalAI supports CPU-only operations.

When NOT to use LocalAI

  • If your project specifically requires GPU acceleration for performance reasons, as LocalAI can run on CPU-only setups but may not offer the same speed as GPU-accelerated alternatives.
  • When you need a tool that is tightly integrated with specific cloud services or proprietary hardware, as LocalAI is designed for flexibility across different hardware types.
  • If your project demands a proprietary solution with commercial support, as LocalAI is an open-source project with community-driven support.
GitHubDetails

Choose ollama if…

  • Both LocalAI and ollama aim to provide a user-friendly way to run LLMs locally.
  • Tags unique to ollama: deepseek, gemma, glm, go.
  • When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.

When NOT to use ollama

  • If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack.
  • When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
GitHubDetails

Explore

LocalAI trust report →ollama trust report →AI Agents category →Computer Vision category →Data & Retrieval category →Inference & Serving category →LLM Frameworks category →Model Training category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: LocalAI 49k · ollama 181k (synced Sep 20, 2026).

Common questions

What is the difference between LocalAI and ollama?
LocalAI: Open-source AI engine for running various models on any hardware. ollama: Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. See the comparison table for live GitHub stats and shared categories.
When should I choose LocalAI over ollama?
Choose LocalAI over ollama when Both LocalAI and ollama aim to provide a user-friendly way to run LLMs locally; Tags unique to LocalAI: agents, ai, api, audio-generation; Also covers AI Agents, Computer Vision, Data & Retrieval, Model Training, Speech & Audio; When you need to run AI models on hardware that lacks a GPU, as LocalAI supports CPU-only operations.
When should I choose ollama over LocalAI?
Choose ollama over LocalAI when Both LocalAI and ollama aim to provide a user-friendly way to run LLMs locally; Tags unique to ollama: deepseek, gemma, glm, go; When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.
When should I avoid LocalAI?
If your project specifically requires GPU acceleration for performance reasons, as LocalAI can run on CPU-only setups but may not offer the same speed as GPU-accelerated alternatives. When you need a tool that is tightly integrated with specific cloud services or proprietary hardware, as LocalAI is designed for flexibility across different hardware types. If your project demands a proprietary solution with commercial support, as LocalAI is an open-source project with community-driven support.
When should I avoid ollama?
If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack. When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
Is LocalAI or ollama more popular on GitHub?
ollama has more GitHub stars (181,196 vs 49,150). Stars measure visibility, not whether either tool fits your constraints.
Are LocalAI and ollama open source?
Yes - both are open-source projects on GitHub (LocalAI: MIT, ollama: MIT).
Where can I find alternatives to LocalAI or ollama?
GraphCanon lists graph-backed alternatives at LocalAI alternatives and ollama alternatives (LocalAI markdown twin, ollama 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, LocalAI or ollama?
LocalAI: Very active. ollama: 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 LocalAI and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LocalAI trust report; ollama trust report.

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