Run open models locally and wire them into your tools
Ollama helps you install, run, and launch open models from the terminal, with integrations for coding, chat, RAG, and automation tools. It emphasizes keeping data on your own machine while still offering cloud hardware for larger models.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric → Last re-evaluated 31 July 2026.
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What's happened with Ollama lately
- Score changeRubric upgrade v3_0 → v3.1: score 4/32 → 5/364 → 5/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
Ollama is a local model runner and integration layer for open-weight AI models. It is aimed at developers and power users who want to use open models in their own apps, coding agents, chat tools, or automation workflows.
Ollama is strongest as infrastructure for using local and open models across multiple apps, not as a standalone end-user assistant. The autonomous behavior mostly comes from the downstream tools you connect to it; Ollama itself provides the model...
Responds to prompts but takes no autonomous action.
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- Free / open source — full functionality available at no cost.
When Ollama changes its pricing, we catch it the next morning
We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.