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Ollama
Categories: Coding & Developer Tools, Automation / Agents |
Pricing: Free |
Official Website ↗
Run large language models locally on your computer and access cloud models for automation, coding, and document analysis.
Ollama provides the easiest way to build with open models by allowing users to run large language models locally on their own hardware or access cloud models. It enables automation of tasks like coding and document analysis while ensuring data privacy, as user data is never trained on. Users can get started with a free plan that includes access to cloud models, CLI, API, and desktop applications, and over 40,000 community integrations. For more demanding work, Pro and Max plans offer increased cloud usage and concurrency for running multiple models simultaneously. Ollama supports running models entirely offline for mission-critical work and offers cloud models in various regions for global demand.
Key Features
- Run open models locally
- Access cloud models
- CLI, API, and desktop apps
- Automate tasks with open models
- Keep data private
- Upload and share private models
- Run multiple cloud models concurrently
- Real-time information from the web
- Offline operation
- Community integrations
Pros
- Data privacy (never trained on)
- Ability to run models entirely offline
- Flexible usage measurement (not token-based)
- Access to larger models on datacenter-grade hardware
- Supports parallel requests
- Free plan available with cloud access
- Community integrations
Cons
- Usage limits on cloud models
- Concurrency limits on cloud models
- Additional usage purchase not yet available
- Performance depends on hardware
- Queued requests if concurrency limit reached
Use Cases
- Automating coding tasks
- Analyzing documents with AI
- Building AI assistants
- Evaluating large language models
- Running continuous agent tasks
- Deep research with AI
- Developing AI applications locally
- Chatting with models
Best For
- Developers building with open models
- Individuals needing local LLM execution
- Teams requiring data privacy for AI tasks
- Users automating coding and document analysis
- Researchers evaluating large models
Integrations: OpenClaw, Claude Code
Platforms: Web, Desktop
Watch demo on YouTube ↗
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