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jarvis
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jarvis

Active·★ 2.0k·NOASSERTION·Updated 2026-10-13
★ Trending

Jarvis is a private, voice-first assistant that runs on your computer. The README says speech recognition, language models and speech synthesis run on hardware you control, and that your conversation and data stay on the computer. It is designed to take part in a conversation: while listening it keeps a short, temporary rolling transcript of nearby speech so that "Jarvis, what do you think?" can use what was just discussed. You can address it by name anywhere in a sentence.

Listed capabilities: memory across sessions (a local diary and knowledge graph with a Memory Viewer), built-in tools for web search, weather, time, screenshot OCR, file access, nutrition tracking and optional location, MCP servers for browser automation and smart-home control, push-to-talk dictation into other apps, and a companion text chat with silent replies. The README says sensitive information is redacted before it reaches model context or the saved diary, and that web search, weather and connected tools use the network only when asked.

Download a build for macOS (Apple Silicon or Intel), Windows x64 or Linux x64 from GitHub Releases. The setup wizard walks through speech recognition and a model server: Ollama, or an OpenAI-compatible server such as LM Studio or llama.cpp. Suggested chat models range from `qwen3.5:0.8b` on small hardware to `gemma4:e4b` by default and a larger local setup, with a memory budget shown during setup. The README says it is developed mainly on macOS, that Windows and Linux behavior may differ and that accuracy depends on your models; it links evaluation results. GitHub did not detect an SPDX license, so check the LICENSE file. Last push was 2026-10-13. This review is based on the README and repository data; we have not run it ourselves.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Voice Assistant#Local AI#Privacy-first#Desktop Application#Speech Recognition#Language Model#Personal Memory#Tool Integration
$ Install
$ git clone https://github.com/isair/jarvis.git && cd jarvis && bash scripts/run_linux.sh
↗ Visit site★ GitHub
01

Features

01Voice-first conversational AI that joins ongoing discussions, using recent context.
02Private and local-first operation, with all AI processing and data stored on your device.
03Persistent personal memory and knowledge graph for remembering past conversations and preferences.
04Integration with built-in tools (web search, weather) and custom MCP servers for automation.
05Dictation into other applications and a companion chat interface for silent text interaction.
02

Why choose it

+Speech recognition, language models and speech synthesis run on your own hardware, and data stays on the computer per the README
+Designed to join an ongoing conversation using a short rolling transcript, with local memory (diary and knowledge graph)
+Works with Ollama or any OpenAI-compatible server; extensible with MCP servers; push-to-talk dictation
+Builds for macOS, Windows and Linux with a setup wizard and memory budget guidance; last push 2026-10-13
03

Trade-offs

!It listens to nearby speech to join conversations; the README says the transcript is temporary and local, but think about who is in the room
!Developed mainly on macOS, so Windows and Linux behavior may differ, and accuracy and speed depend on your models and hardware
!GitHub did not detect an SPDX license for the repository, so check the license terms
!Unsigned-app steps are needed on macOS (right-click, Open)
04

Compatibility

macOS
OS
Verified via docs
Windows
OS
Verified via docs
Linux
OS
Verified via docs
Ollama
Model Server
Verified via docs
OpenAI API Compatible
Model Server
Verified via docs
Python
Runtime
Verified via docs
05

Quick start

1
$ git clone https://github.com/isair/jarvis.git
2
$ cd jarvis
3
$ bash scripts/run_linux.sh
06

Use cases

↳Engaging Jarvis in an ongoing group conversation to get its opinion or insights.
↳Asking Jarvis about past events or personal preferences, leveraging its long-term memory.
↳Dictating text directly into documents, emails, or other applications.
↳Automating browser tasks or controlling smart home devices through connected MCP servers.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
Stats
GitHub Stars★ 2.0k
Last commit1d ago
StatusActive
LicenseNOASSERTION
CategoryVoice / Speech
Trend (30d)
+0k↑ 3.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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