{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "prapaa-ai-agav--run-agent-with-local-ollama-model",
 "repo": "prapaa-ai/agav",
 "repo_url": "https://github.com/prapaa-ai/agav",
 "repo_slug": "prapaa-ai-agav",
 "title": "Run the agent against a local Ollama model",
 "page_title": "How to run the agent against a local Ollama model with Agav",
 "summary": "Point Agav at Ollama so code and prompts stay on a model you run yourself.",
 "who": "A developer with private code who does not want to send it to a hosted model provider.",
 "problem": "Cloud model providers control where prompts and code go, and some projects cannot send code to them.",
 "outcome": "The agent answers questions and works on your repository using a locally hosted Ollama model.",
 "steps": [
  "Install Agav with `curl -fsSL https://agav.dev/install.sh | bash`.",
  "Set up Ollama on your machine and pull the model you want to use, such as llama3.2.",
  "Open your repository folder and run `agav --provider ollama --model llama3.2`.",
  "Ask a read-only question first, such as `what does this project do?`, to confirm the local model responds.",
  "Switch to a different model during the session with `/model` if you want to compare results."
 ],
 "agent_prompt": "Using the Agav repo at prapaa-ai/agav, run `agav --provider ollama --model <model-name>` inside <repo-path> and ask it what the project does. Expected output: a short description grounded in the repository files. Verify that the response came from the local Ollama server and that the named files exist in <repo-path>.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "60 minutes",
 "basis": "readme",
 "caveat": "The README lists Ollama as a provider but does not explain how to install Ollama, so follow Ollama's own setup steps first.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "typescript",
 "requirements": [
  "A terminal on your machine",
  "The Agav binary, installed with the install command in the README",
  "An API key for a cloud provider, or a local Ollama setup",
  "A project folder or repository you want the agent to work in"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "remote-script",
   "notice": "The Agav install step downloads and runs a script from Agav.dev directly into bash."
  }
 ],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/prapaa-ai-agav/run-agent-with-local-ollama-model/",
 "md": "https://dedupedai.com/use-cases/prapaa-ai-agav/run-agent-with-local-ollama-model/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/prapaa-ai-agav--run-agent-with-local-ollama-model.json",
 "api_version": "v1"
}