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RUNLOCALAI · v38
← Home·/apps·Productivity

Reor

Fully offline

AI note-taking app that builds connections between your notes automatically. Local, open-source.

Editorial verdict: “Best AI-first note app that's actually local. Niche but well-executed.”

Productivity
Free
AGPL-3.0
★ 4.1 / 5
GitHub ★ 8,000
↗ Homepage↗ GitHub

Compatibility at a glance

Which runtime + OS combos this app works against. Source of truth for "will it run on my setup?"

§ Runtimes supported
ollamaopenai-compat
§ OS / platform
macoslinuxwindows
§ Hardware + model hint
Minimum VRAM
4 GB
Recommended starter model
Llama 3.1 8B Q4_K_M + nomic-embed-text
→ Build the rest of the stack with /stack-builder→ Pick a GPU for this app

What it is

Reor is for Ollama users who want their note-taking app to actively connect ideas rather than just store them. It runs a local LLM and embedder side-by-side, so as you write, it surfaces semantically related notes without any data leaving your machine. The auto-linking works best with a model like Llama 3.1 8B Q4_K_M plus nomic-embed-text, and it bridges to any OpenAI-compatible runtime. The trade-off is that the quality of those connections depends heavily on the local model you choose, and the app itself is less polished than Obsidian. It’s a solid choice if you value privacy over polish and don’t mind tweaking your model stack.

✓ Strengths

  • +Local-first by design
  • +Auto-link related notes feels magical when it works
  • +Open-source AGPL

△ Caveats

  • −Younger / less polished than Obsidian
  • −Auto-linking quality depends on the local model

About the Productivity category

Note-taking, knowledge management, or workflow apps with AI.

§ Other productivity apps
Khoj CLI

Best terminal companion for note-summarization workflows. Pipe-friendly.

Where to go from here

Stack Builder →

Pre-filled with this app's recommended use case + budget tier. Get the full rig + runtime + model picks.

Back to /apps →

The full directory — filter by category, runtime, OS, privacy posture, or VRAM.

Runtimes (/tools) →

What this app talks to: Ollama, vLLM, llama.cpp, MLX, LM Studio. The upstream layer.

Community benchmarks →

Did this app work for you on a specific rig? Submit the benchmark — it powers the model + hardware pages.