Your personal AI assistant, running on your own computer. Long-running tasks, real memory, proactive help, voice, phones and smart glasses. Any model, local or cloud. No account.
# Add to your Claude Code skills
git clone https://github.com/existence-master/SentientLast scanned: 10/8/2026
{
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"status": "PASSED",
"scannedAt": "2026-10-08T11:09:18.483Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how Sentient compares with popular alternatives.
Sentient is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by existence-master. Your personal AI assistant, running on your own computer. Long-running tasks, real memory, proactive help, voice, phones and smart glasses. Any model, local or cloud. No account. It has 691 GitHub stars.
Yes. Sentient passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/existence-master/Sentient" and add it to your Claude Code skills directory (see the Installation section above).
Sentient is primarily written in Python. It is open-source under existence-master on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Sentient against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
[!NOTE] Sentient v3 is in alpha. It runs from source, its tests run on Windows and Linux on every change, and a Windows installer builds from this repository. Here is exactly what has been tested.
And more: Gmail, Calendar, Drive, Docs, Sheets, GitHub, Slack, Notion, Trello, Discord, WhatsApp and any MCP server · near-instant updates from Gmail and Calendar, IMAP push and webhooks · proactive suggestions you approve or dismiss · browser control on your own Edge or Chrome · code that runs in a sandbox · helper agents that work beside the chat · messages you can add while it is still answering.
Windows: build the installer with cd desktop && npm run package and run desktop/dist/Sentient-Setup-*.exe.
Prebuilt, signed downloads are coming with the first public release.
From source (Windows, macOS, Linux) with Python 3.12, uv and Node 22:
git clone https://github.com/existence-master/Sentient.git && cd Sentient
uv venv .venv --python 3.12
uv pip install --python .venv/Scripts/python.exe -e ".[voice]" # macOS/Linux: .venv/bin/python
cd desktop && npm install && npm run dev
Then pick a brain: install Ollama and run ollama pull qwen3:8b for a free, private
model, or paste your own Anthropic, OpenAI or Gemini key. The app walks you through the rest.
Getting started has first things to try and troubleshooting.
flowchart LR
subgraph you["Where you are"]
app["Desktop app"]
phone["Phone"]
glasses["Smart glasses"]
chat["Telegram · Discord"]
end
subgraph engine["Sentient engine, on your computer"]
agent["Agent loop"]
tasks["Tasks and scheduler"]
memory["Memory and user model"]
proactive["Proactivity and skills"]
tools["Tools: apps, browser, code, devices"]
db[("One SQLite file")]
end
local["Local model (Ollama)"]
cloud["Cloud model (your key)"]
apps["Your apps"]
app <--> agent
phone <--> agent
glasses <--> agent
chat <--> agent
agent --- tasks & memory & proactive & tools
tasks & memory & proactive --> db
agent --> local
agent -.-> cloud
tools <--> apps
The desktop app starts a local Python engine. One agent loop powers chat, tasks, helpers, proactivity and voice, and everything is stored in a single SQLite file. Read the architecture, the API contract, and the decision records that explain why it is built this way.
Details in Privacy. Found a vulnerability? Please report it privately: SECURITY.md.
You never need our API keys: Sentient runs on a free local model or your own key, and every test runs offline with a fake model.
main, and open a small pull request.Read CONTRIBUTING.md. Using an AI coding agent? Point it at AGENTS.md.
| Getting started | Install, choose a model, first steps, troubleshooting |
| Privacy | What stays on your computer and what leaves it |
| Developing | Run, test, capture screenshots, build installers |
| Architecture · Decisions | How it fits together, and why |
| API contract | Everything the app and the engine exchange |
| Devices protocol | Build your own device or firmware |
| Verification · Roadmap · Changelog | What's tested, what's next, what changed |
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