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GitHub Open Source StartupHakk/OpenMonoAgent.ai

(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and installed with a single command. Proudly built on C#/.NET, because AI tooling should be infrastructure, not a subscription.

946
Traction Score
107
Forks
Apr 30, 2026
Launch Date
View Origin Link

Product Positioning & Context

AI Executive Synthesis
Extending the 'local LLM, free forever, infrastructure-not-subscription' ethos to practical, real-world applications like smart home automation. The project aims to empower users to build complex AI systems on their own machines without recurring costs, positioning itself as foundational AI infrastructure for personal projects.
This issue reveals significant user demand for practical, accessible applications of local LLMs, specifically for autonomous home automation with audible interaction. The user's inability to implement this without clear guidance highlights a critical gap in developer experience for less knowledgeable users. The market implication is a strong desire for 'infrastructure-level' AI tools that provide clear, step-by-step implementation paths for complex, real-world use cases. Products that democratize advanced AI capabilities by simplifying deployment and integration for non-expert users will capture a substantial market segment. This reinforces the value proposition of open-source, locally-run AI as a foundation for personalized, cost-free automation, provided the learning curve is manageable. The 'submit button' issue also points to basic UX friction.
(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and installed with a single command. Proudly built on C#/.NET, because AI tooling should be infrastructure, not a subscription.

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is StartupHakk/OpenMonoAgent.ai?
StartupHakk/OpenMonoAgent.ai is analyzed by our AI as: Extending the 'local LLM, free forever, infrastructure-not-subscription' ethos to practical, real-world applications like smart home automation. The project aims to empower users to build complex AI systems on their own machines without recurring costs, positioning itself as foundational AI infrastructure for personal projects.. It focuses on This issue reveals significant user demand for practical, accessible applications of local LLMs, specifically for autonomous home automation with a...
Where did StartupHakk/OpenMonoAgent.ai originate?
Data for StartupHakk/OpenMonoAgent.ai was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was StartupHakk/OpenMonoAgent.ai publicly launched?
The initial public indexing or launch date for StartupHakk/OpenMonoAgent.ai within our tracked developer communities was recorded on April 30, 2026.
How popular is StartupHakk/OpenMonoAgent.ai?
StartupHakk/OpenMonoAgent.ai has achieved measurable traction, logging over 946 traction score and facilitating 107 recorded discussions or engagements.
Are there active development issues for StartupHakk/OpenMonoAgent.ai?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 5 active high-priority issues logged recently.
Are there open-source alternatives related to StartupHakk/OpenMonoAgent.ai?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named THU-MAIC/OpenMAIC shares highly similar architectural descriptions and topics.
How does the creator describe StartupHakk/OpenMonoAgent.ai?
The original author or development team describes the product as follows: "(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and..."

Active Developer Issues (GitHub)

open Suggestion: I would like to create a autonomous house.
Logged: May 10, 2026
open MODEL_NAME variable is not set
Logged: May 7, 2026
open Detection of GPU Memory
Logged: May 7, 2026
open llama crashing and restarting from trying to dock/load backend
Logged: May 7, 2026
open Install Failure: Error response from daemon: could not select device driver "nvidia" with capabilities: [[gpu]]
Logged: May 6, 2026

Community Voice & Feedback

Moeinich • May 11, 2026
having the same issue on macbook pro m5 32gb ram (not sure if it can even run on this machine) - but a model does not load when running openmono agent after setup and I see MODEL_NAME variable is not set when running openmono start.
mm6502 • May 10, 2026
> Use my fork to run the agent natively on Windows. The LLM server still needs to be running using WSL or using any other server setup (LM Studio, etc.). Works for me. https://github.com/AndyHen/OpenMonoAgent.ai

So basically, build it on Windows and run?

I wish there would be a release for this via winget or something...
conceptia2020 • May 8, 2026
Thanks for your reply. When i enter the first sudo command, after entering my password, i get `"sudo: nvidia-ctk: command not found"`
NikiHrs • May 8, 2026
Try running

```
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart dock
```
conceptia2020 • May 8, 2026
i've tried the config flags and command line options in my troubleshooting. The settings.json file gets updated with the model I specify but then I still get the same error when trying to run the agent. I'm sure it's me. Please help!
conceptia2020 • May 7, 2026
This is content from the log when I tried to start the agent:

[2026-05-07 21:04:13.747] [INFO] Session starting — model= endpoint=http://llama-server:7474 workdir=/workspace
[2026-05-07 21:12:42.261] [DEBUG] LLM request: model= messages=2 tools=19 endpoint=http://llama-server:7474
[2026-05-07 21:12:43.311] [WARN] LLM retry 1/3 after 1s
[2026-05-07 21:12:47.322] [WARN] LLM retry 2/3 after 4s
[2026-05-07 21:13:10.260] [WARN] LLM retry 3/3 after 16s
[2026-05-07 21:14:51.205] [ERROR] LLM connection failed
[2026-05-07 21:14:51.269] [ERROR] System.Net.Http.HttpRequestException: Resource temporarily unavailable (llama-server:7474)
---> System.Net.Sockets.SocketException (11): Resource temporarily unavailable
at System.Net.Sockets.Socket.AwaitableSocketAsyncEventArgs.ThrowException(SocketError error, CancellationToken cancellationToken)
at System.Net.Sockets.Socket.AwaitableSocketAsyncEventArgs.System.Threading.Tasks.Sources.IValueTaskSource.GetResult(Int16 token)
at System.Net.Http...
AndyHen • May 7, 2026
Use my fork to run the agent natively on Windows. The LLM server still needs to be running using WSL or using any other server setup (LM Studio, etc.). Works for me.
https://github.com/AndyHen/OpenMonoAgent.ai
lostenterprisesinc-blip • May 5, 2026
please need install tutorial using ai but nothing really working
akierum • May 5, 2026
Hope there is a guide so I can give it a test drive, the aider-desk so far is very very good with qwen 27B q8, and crappy with cline, roocode, kilo code they all 3 seem like bad joke compared to aider-desk that was installed on my pc for over a YEAR and was about to delete it, but then it updated itself and works flawlessly so far. Just instruct it to give a plan before editing, and use temp 0.3 for model.
hrgdavor • May 5, 2026
I was surprised it has no instructions for windows, a project coded with .NET. I have plans to move to linux, but have not done so yet

Discovery Source

GitHub Open Source GitHub Open Source

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

No mainstream media stories specifically mentioning this product name have been intercepted yet.

Deep Research & Science

No direct peer-reviewed scientific literature matched with this product's architecture.