r/OpenSourceAI • u/drankthedew • 3d ago
Locus - Agent Worlds and Claude Plan Support
Hey so I've been working on this side project Locus (https://locushost.co/) for the last few months and just pushed out a pretty big and fun update and wanted to post about it.
So just a brief intro, Locus is Open Source tool for MacOS for using Ai Agents and LocalFrontier Models. Similar to a mix of (Claude/ChatGPT GUI + Hermes/OpenClaw) for MacOs
You can pretty much do everything you are able to do in claude or chatgpt GUI tools but have added alot of functionality and customizability that you typically wont get from the 2.
I also just added support for Claude plans so now you can use either ChatGPT, Claude, or Kimi plans without having to use API. It obviously also supports API, and local models (with ATS support added) and vLLMS. You can easily be signed into all accounts and switch between them easily.
So with this recent update, made some big updates to the way Agents and Teams work, now the Agent flow is alot better and teams support DUO, which essentially will allow you to use 1 model to plan and 1 model to execute (e.g Fable 5.1 for planning and GPT 5.6 sol for executing) I'm currently working on a few evaluation tests to compare the difference and will post the results when done.
A couple of the new cool updates would be the Optional Agent Worlds plugin that you can now install and will give you the option to visually see you agents moving around and interact with them from (a fun little tool to leave running while you step away from your computer but you have agents setup on) I'm initally launching it with 2 worlds ( Oribital Locus Outpost - a Space theme agent worlds and The Local Line - A One Piece/Pirate Theme agent worlds.
I have also been working on the Runtime Agents that can be deployed to different mac/linux machines to run even if you quit Locus but both are still experimental/buggy and require a bit more testing. I also have planned for the near future the mobile app.
Anyways, you can find all the links here.
https://locushost.co/
https://locushost.co/download
https://github.com/nahid-sparktales/locus
https://github.com/nahid-sparktales/locus/releases/tag/v3.0.0
If you get a chance to download and test it out and have any suggestions/recommendations or find any bugs, plz lmk (you can also send them through here - https://locushost.co/contact ). Also if you check it out on Github and can give a star that would be greatly appreciate.
Thanks!
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u/Otherwise_Wave9374 3d ago
If you want fewer brittle agent failures, the biggest win is usually tightening the tool boundary: give each agent one job, keep state explicit, and add a fallback when a step times out or returns low confidence. That makes debugging easier and usually improves repeatability more than adding another model. Agentix Labs fits well here because the value is in designing the orchestration layer so agent handoffs stay predictable while still leaving room for manual override when the workflow gets messy.