Product

Ollama

by Ollama

Product website
https://ollama.com/
Documentation
https://docs.ollama.com/
Pricing
https://ollama.com/pricing
Categories
ML Model Hub / Repository

Description

Find models in a model library and run them through Ollama.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration2/10Trust4/6Portability4/4Security0/4Tier C47/100
Component Raw Weight Contribution
Integration 2/10 35% 7.0
Trust 4/6 30% 20.0
Portability 4/4 20% 20.0
Security 0/4 15% 0.0
Signals that fired
  • Integration: Command-line interface (+1) ; SDK / developer kit (+1)
  • Trust: Zero data retention (yes, +2) ; No generative AI training (yes, +2)
  • Portability: Data import (partial, +1) ; Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1) ; Open source (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills
  • Trust & data policy: Trust center, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Documented provider swap
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Zero data retention
Yes
No generative AI training
Yes
Data import
Partial
Open standards
Yes
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes
Self-hostable
Yes
Open source
Yes
Source code
https://github.com/ollama/ollama

Not yet researched Trust center, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Documented provider swap

What it does

Jobs to be done

  • Discover machine learning models

    Find published machine learning models to download or use in applications.

    View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

Command-line interfaces

Developer kits

Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills

Offers

Full pricing page

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • Hugging Face Hub by Hugging Face Unrated

    Same job: Discover machine learning models (not assessed)

  • ModelScope by ModelScope Unrated

    Same job: Discover machine learning models (not assessed)

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Ollama — listed on Open Agent Guide Ollama — listed on Open Agent Guide

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Markdown

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The badge shows only that this product is listed; it makes no grade claim and can’t be self-set. How scoring works

Ready to decide?

Unrated · 38% researched. Grade withheld until more fields are verified.

Visit Ollama