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title: OpenJarvis: a local-first personal AI is now available...
description: OpenJarvis v1.0, an open-source framework for building personal AI agents that run locally, is now available with built-in Ollama support. Built by Stanford's...
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og:description: OpenJarvis v1.0, an open-source framework for building personal AI agents that run locally, is now available with built-in Ollama support. Built by Stanford's...
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# OpenJarvis: a local-first personal AI is now available to run with Ollama · Ollama Blog

**[Ollama](https://daily.dev/sources/ollama)** · 2 min read · 0 upvotes · 0 comments

## Summary

OpenJarvis v1.0, an open-source framework for building personal AI agents that run locally, is now available with built-in Ollama support. Built by Stanford's Hazy Research and Scaling Intelligence labs as part of their Intelligence Per Watt research into efficient local AI, it lets models run on-device by default while making cloud usage optional and tracking energy, cost, and latency alongside accuracy. Setup involves installing Ollama, then OpenJarvis via a shell script or WSL2 on Windows. Users can pull and set default models through Ollama, and configure presets via config.toml. The release ships with ready-to-run agent presets including a morning briefing agent (calendar, email, news), a deep-research agent for querying local documents and the web with citations, and a local coding agent that writes and runs Python.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ollama.com/blog/openjarvis>

## Questions this post answers

### How do I run OpenJarvis with Ollama for a local AI agent?

Install Ollama first, then install OpenJarvis using the install script (curl -fsSL https://open-jarvis.github.io/OpenJarvis/install.sh | bash on macOS or Linux, or via WSL2 or the desktop app on Windows). The installer auto-detects an existing Ollama installation and sets up a starter model, and running the jarvis command starts the assistant.

_Anyone assembling a local AI toolchain can track new local-first agent releases like this on daily.dev._

### How do I set a default model for OpenJarvis with Ollama?

Pull a model through Ollama, for example jarvis model pull qwen3.5:35b, then add default_model = "qwen3.5:35b" and preferred_engine = "ollama" under the [intelligence] section of ~/.openjarvis/config.toml. This makes that model the default for jarvis ask commands without specifying -m each time.

_Developers configuring local model defaults can follow ongoing Ollama tooling updates on daily.dev._

### What built-in agent presets does OpenJarvis ship with?

OpenJarvis version 1.0 includes ready-to-run presets: a morning-digest-mac agent that builds a briefing from calendar, email, and news; a deep-research preset that indexes local documents and answers questions with web and file citations; and a code-assistant preset that writes and runs Python locally to complete tasks.

_Developers evaluating local AI agent frameworks can compare presets like these on daily.dev._

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---

Tags: [#open-source](https://daily.dev/tags/open-source), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#local-ai](https://daily.dev/tags/local-ai), [#ollama](https://daily.dev/tags/ollama)

[View this post on daily.dev](https://daily.dev/posts/openjarvis-a-local-first-personal-ai-is-now-available-to-run-with-ollama-ollama-blog-rf7qm8fgf)

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