Home/Compare/LocalAI vs ollama

Comparison

LocalAI vs ollama

Verdict

Pick LocalAI if localAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU; pick ollama if ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma.

Markdown twin · LocalAI alternatives · ollama alternatives

GraphCanon updated 5d

LocalAI logo

LocalAI

mudler/LocalAI

49kpushed Aug 16, 2026
vs
ollama logo

ollama

ollama/ollama

178kpushed Jul 31, 2026

Trust & integrity

SignalLocalAIollama
Maintenance
Very active (0d since push)
As of 5d · github_public_v1
Very active (1d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 5d · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Published findings
As of 1w · deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
No public record from this source
As of 2w · openssf-scorecard@v1

Tagline

LocalAI
Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
ollama
Get up and running with various large language models using Ollama.

Stars

LocalAI
49k
ollama
178k

Forks

LocalAI
4.4k
ollama
17k

Open issues

LocalAI
156
ollama
3.6k

Language

LocalAI
Go
ollama
Go

Adopt for

LocalAI
LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU.
ollama
Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and

Persona

LocalAI
-
ollama
-

Runtime

LocalAI
-
ollama
-

License

LocalAI
MIT
ollama
MIT license - permissive open-source licensing that allows for broad use of the tool.

Last pushed

LocalAI
Aug 16, 2026
ollama
Jul 31, 2026

Categories

LocalAI
Computer Vision, LLM Frameworks, Speech & Audio
ollama
Inference & Serving, LLM Frameworks

Trust and health

Days since push

LocalAI
0d
ollama
1d

Open issues (now)

LocalAI
156
ollama
3.6k

Stars delta

LocalAI
+924 (30d)
ollama
Unknown

Open issues delta

LocalAI
-53 (30d)
ollama
Unknown

Owner type

LocalAI
User
ollama
Organization

OSV dependency advisories

LocalAI
No lockfile (source not queried)
ollama
Published findings

deps.dev advisories

LocalAI
Not queried
ollama
Published findings

OpenSSF Scorecard

LocalAI
Not queried
ollama
No public record from this source

Full report

Typed relationship

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

Choose LocalAI if…

  • Pricing: As an open-source project under the MIT license, it is free to use and distribute..
  • 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 Computer Vision, Speech & Audio.
  • Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware.

When NOT to use LocalAI

  • Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility.
  • Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written).

Choose ollama if…

  • Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
  • Both LocalAI and ollama aim to provide a user-friendly way to run LLMs locally.
  • Tags unique to ollama: deepseek, gemma, glm, go.
  • Also covers Inference & Serving.
  • Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or

When NOT to use ollama

  • Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.

Explore

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 178k (synced Aug 16, 2026).

Common questions

What is the difference between LocalAI and ollama?
LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. ollama: Get up and running with various large language models using Ollama.. See the comparison table for live GitHub stats and shared categories.
When should I choose LocalAI over ollama?
Choose LocalAI over ollama when Pricing: As an open-source project under the MIT license, it is free to use and distribute.; 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 Computer Vision, Speech & Audio; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware.
When should I choose ollama over LocalAI?
Choose ollama over LocalAI when Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Both LocalAI and ollama aim to provide a user-friendly way to run LLMs locally; Tags unique to ollama: deepseek, gemma, glm, go; Also covers Inference & Serving; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.
When should I avoid LocalAI?
Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written).
When should I avoid ollama?
Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
Is LocalAI or ollama more popular on GitHub?
ollama has more GitHub stars (177,524 vs 48,500). 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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