OpenJarvis
Local-first personal AI agents that run with Ollama
⭐5,200
AI Agent FrameworksFree (open-source)
About OpenJarvis
OpenJarvis is an Apache-2.0 open-source framework for building personal AI agents that run on user hardware by default, with optional cloud escalation. Built by Stanford Hazy Research and Scaling Intelligence labs as part of Intelligence Per Watt research, OpenJarvis v1.0 ships Ollama support, starter presets for morning briefings, deep research and coding, and local engines including Ollama, vLLM, SGLang and llama.cpp.
Features
✦Local-first personal AI agents
✦Built-in Ollama support
✦Morning briefing preset
✦Deep research across web and local documents
✦Code assistant preset
✦Local engines: Ollama, vLLM, SGLang, llama.cpp
✦Optional cloud engines
✦Energy, cost and latency-aware routing
Pros & Cons
Pros
- +Strong fit for Ollama-based local agent workflows
- +Apache-2.0 open-source project
- +Ships ready-to-run presets instead of only framework primitives
- +Supports both local engines and optional cloud escalation
- +Built around privacy, cost, latency and energy as first-class constraints
Cons
- −Young v1.0 project with fast-moving docs and releases
- −Local-first does not mean cloud-free unless configured that way
- −Personal-agent presets may need access to sensitive local files, email or calendar data
- −Efficiency claims are project-reported and should be tested on your own workloads
Platforms
macOSLinuxWindowsWSL2Docker
Tags
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