DeepSeek Harness Remote
DeepSeek Harness Remote 可將手機或另一台電腦與你運行 DeepSeek Harness 的電腦安全連接,隨時隨地繼續你的工作,方便隨時查看進度並繼續工作。
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一分鐘完成驗證Local-first AI personal assistant for Windows, powered by Ollama. Chat, tasks, governed actions and open-source tooling.
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檢視完整 README ↗An open-source, local-first AI assistant inspired by the idea of a Jarvis-style desktop companion — powered by Ollama, with explicit controls for real-world actions.
Looking for a personal AI assistant for Windows, an Ollama desktop assistant, or a self-hosted alternative to cloud-only AI assistants? Pandesh aims to combine local AI conversations, reusable tools, tasks, reminders, and governed automation in one approachable Panda interface.
⬇ Download Windows Alpha (Build 144) • 📖 Start here • 🏗️ Architecture • 🗺️ Roadmap • 🐞 Report an issue
Actual Pandesh desktop interface from v0.1.2 Build 143.
Pandesh is an experimental local AI agent and personal assistant for Windows. Rather than being only a chatbot, its goal is to help with everyday work and show what was actually accomplished. It runs local LLMs through Ollama and can integrate additional tools when installed and permitted.
| Experience | What you can expect |
|---|---|
| Chat with local AI | Use models installed on your own Windows computer |
| Tasks and results | Organize work and review outcomes rather than accept unsupported "Done!" claims |
| Human-approved actions | Review sensitive/mutating operations before execution |
| Reminders and briefings | Scheduled assistant workflows, depending on configured services and permissions |
| Models and integrations | Ollama first; other compatible providers and agent integrations are optional |
| Developer workflows | VS Code / coding-related capabilities in the evolving shared platform |
Important: The public release is an alpha. Not all workflows are reliable or supported on every machine. Gmail, Calendar, external models and web access require their own permissions. Local-first does not mean all configured integrations are offline.
Download and start Ollama for Windows.
Open PowerShell, then choose a model:
ollama pull qwen2.5-coder:3b
ollama list
Install Pandesh v0.1.3 Alpha (Build 144) or extract the portable ZIP and run its launcher.
Start with "Hi Pandesh. What can you do?", then try a specific read-only request.
For verified download checksums, permissions, troubleshooting and the full installation flow, use the getting-started guide.
Pandesh Core is fully buildable independently:
# 1. Clone the repository
git clone https://github.com/siddharthakki/Pandesh.git
cd Pandesh
# 2. Install dependencies
npm ci
# 3. Build Core bundle
npm run bundle:core
# 4. Run tests
npm test
See all six screenshots • View release gallery
Build 143 fixes New Conversation navigation and introduces direct Tasks / Results tabs.
Architecture diagram ➔ • Privacy and safety ➔
Our immediate focus is reliable conversations, correct model detection, approvals, task results, and useful daily workflows, not a feature checklist.
Read the short, prioritized roadmap.
Pandesh Core is published under the MIT License.
MIT LICENSE • CONTRIBUTING • SECURITY
Outside developers are welcome to fork and propose improvements. Pull requests are validated in GitHub-hosted CI runners.
Security policy • Maintainer protection checklist • How contributions work
Found a bug or got Pandesh working with your favorite local model? Open an issue with the app build and reproducible behavior—never raw private logs.
Built with and/or integrated with independent upstream projects including Ollama, Pi, Electron, OpenCode and Hermes Agent. See acknowledgements and license notes. No affiliation with the fictional J.A.R.V.I.S. character, Marvel, or those upstream maintainers is implied.
Downloads: Pandesh_Releases • Public Source: Pandesh.