AIDA by Autafy

Local AI with Ollama

Run AI models completely free on your own computer — no API keys, no usage costs, full privacy.

What is Ollama?

Ollama is a free, open-source tool that lets you run powerful AI models locally on your Windows, Mac, or Linux machine. Your data never leaves your computer.

Benefits:

  • Completely free — no API costs
  • Private — data stays on your machine
  • Works offline — no internet required for inference
  • Supports 100+ models including Llama, Mistral, Qwen, DeepSeek, and more

Step 1 — Install Ollama

Download and install Ollama for your operating system:

  • Windows / Mac: Download from ollama.ai
  • Linux: Run curl -fsSL https://ollama.ai/install.sh | sh

After installing, Ollama runs as a background service on port 11434.

Step 2 — Download a Model

Open a terminal and pull a model. We recommend starting with a small, fast model:

ollama pull qwen2.5:0.5b

Recommended models by hardware:

ModelSizeRAM RequiredSpeed
qwen2.5:0.5b394MB2GBVery Fast
llama3.2:latest2GB4GBFast
llama3:latest4.3GB8GBMedium
qwen2.5:14b9GB16GBSlow on CPU

To list your installed models: ollama list

Step 3 — Download the AIDA Launcher

The one-click launcher starts Ollama and creates a secure tunnel so AIDA can reach your local model from anywhere.

Download the launcher for your OS:

  • Windows: Download start-aida-local.bat (inside the AIDA app)
  • Mac / Linux: Download start-aida-local.sh (inside the AIDA app)

You also need cloudflared in the same folder as the launcher:

  • Windows: Download cloudflared.exe — rename to cloudflared
  • Mac: Run brew install cloudflared
  • Linux: Run wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 && chmod +x cloudflared-linux-amd64 && mv cloudflared-linux-amd64 cloudflared

Step 4 — Run the Launcher

  • Windows: Double-click start-aida-local.bat
  • Mac/Linux: Double-click start-aida-local.sh or run it from terminal

The launcher starts Ollama and creates a secure tunnel automatically. A public URL like https://xyz.trycloudflare.com will appear in the window — copy it.

Step 5 — Connect AIDA to Ollama

  1. Open AIDA → Settings
  2. Under LLM Provider, click Ollama (Local)
  3. Paste the tunnel URL in the Server URL field
  4. Click Save URL
  5. Click Auto-Detect Models
  6. Select your model from the list
  7. Start chatting!

Tools for Local Models

By default, local models run in chat-only mode — no calendar, email, or web tools. This keeps small models fast and reliable. You can change this with the Tools for local models setting on the provider card in Settings:

TierWhat it doesRecommended model
None (default)Chat + knowledge base only. Fastest.Any, including 0.5B-1B
CuratedLookups (time, weather, web search, memory, notes, reminders, calendar, email) + saving notes and memoriesllama3.2:3b or larger
FullEvery AIDA tool8B+, ideally 70B

Important — raise the context window. Ollama defaults to a 4096-token context, which is too small once tools are enabled. Before starting Ollama, set:

OLLAMA_CONTEXT_LENGTH=8192

(On Windows, set it as an environment variable; on Mac/Linux, run export OLLAMA_CONTEXT_LENGTH=8192 in the terminal before the launcher.)

Signs the context is too small: tools get ignored, answers cut off halfway, or 524 timeout errors. If that happens, switch back to None or use a larger context.

Tips

Keep the launcher running while using AIDA with local models. Closing it disconnects the tunnel.

New URL each session — the tunnel URL changes every time you restart the launcher. Update it in AIDA Settings each time.

Permanent URL — for a permanent URL, create a free Cloudflare account and set up a named tunnel.

Slow responses? Use a smaller model (0.5B or 1.5B). Larger models are slow on CPU. A dedicated GPU makes a significant difference.

Tool calling — off by default for speed. Enable it in Settings → Ollama card → Tools for local models (see the section above). Needs a 3B+ model and a larger context window; known to work well: llama3.2:3b, qwen2.5:7b, mistral.

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