ollamaAI apps
ollama
A local model runner for Windows, macOS, and Linux with a REST API plus Python and JavaScript clients.
- Backend
- Full stack
- Data
- AI coding
- CLI
- API/SDK
- Windows
- macOS
- Linux
- Self-hostable
- Runs locally
- Docker supported
- Popularity
- 182.0k Stars
- GitHub stars
- Recent activity
- 9/30/2026
- Updated in the last 30 days
- License
- MIT
- Permissive
Why it matters
We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.
Problem
It addresses the high barrier to entry and complex configuration for running large language models locally, enabling developers and users to deploy models on personal hardware quickly.
Practical value
By providing a unified CLI and REST API, along with an extensive ecosystem of third-party integrations, it has become the de facto standard for local model execution.
Innovation / differentiation
It simplifies complex underlying inference engines into an accessible service through a streamlined installation and model management workflow, significantly lowering the difficulty of local AI adoption.
Leverage potential
Acting as an intermediary layer, it bridges low-level inference libraries and end-user applications, allowing developers to embed local models into various tools via simple API calls.
Why now
It emerged during the surge in demand for local LLMs, precisely addressing user needs for data privacy and offline accessibility.
Community activity
In the last 90 days there were 649 new issues and 1050 pull requests; the bounded issue/PR samples include 83 issue authors and 57 PR contributors, with at least 29 releases.
Maintainer responsiveness
The 95-issue window sample had a 48% close rate, and the 94-pull-request sample had a 22% merge rate. Maintainer-comment observations covered only 29% of that issue sample, so response rate and first-response speed are not reported.
Key highlights
- Download and run models locally on Windows, macOS, and Linux
- Call the local model service through a REST API
- Use official Python and JavaScript clients
Quick start
How it is installed, how hard it is, and where to start.
Where it runs
Runs locally
Difficulty
Easy — follow the steps
- 01Install Ollama using the documented Windows, macOS, or Linux method, or use the official Docker image.
- 02Run
ollamaorollama runto download and start the model you want to use. - 03For application integration, call the local REST API or use the official Python or JavaScript client.
Best for
- Teams that want data on their own servers
- Developers who want to try it on their machine
- People who prefer Docker deploys
More about it
Ollama puts model download, execution, and access behind a local runtime for Windows, macOS, and Linux, with an official Docker image as another deployment path. Models can be started directly with ollama run, or called through the local REST API and the official Python and JavaScript clients. The README also documents integrations with tools such as Claude Code, Codex, Copilot CLI, and OpenCode, so Ollama can serve both interactive local-model use and application or agent backends.
Sources
Each field shows its status and source — expand to review.
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Sources
Each field shows its status and source — expand to review.
capability tags
Verifiedai_coding
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
Latest release
Verifiedv0.35.0
Source: GitHub API · latest_release=v0.35.0 · 9/30/2026
License
VerifiedMIT
Source: GitHub API · license.spdx_id=MIT · 9/30/2026
needs api key
VerifiedNo
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
One-liner
Verified{"en":"A local model runner for Windows, macOS, and Linux with a REST API plus Python and JavaScript clients.","zh":"在 Windows、macOS 和 Linux 本地运行与管理开放模型，并提供 REST API 与 Python/JavaScript 客户端的模型运行工具。"}
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
Platforms
Verifiedwindows, macos, linux
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
Category hint
Inferred from materialsai-apps
Source: Project README · hint=ai-apps · 8/15/2026
product forms
Verifiedcli, api_sdk
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
role tags
Verifiedbackend, fullstack, data
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=false · 9/30/2026
supports local
VerifiedYes
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
supports self host
VerifiedYes
Source: manual_curator · Manually curated from the official repository README and project links. · 8/17/2026
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