u/Ok_Difference2586

Hi everyone, I have been trying to efficiently monitor and diagnose system issues. Heavy coding tools (or harnesses) are overkill for this and they suffer from bloated contexts and tools that make them token hungry and not suitable to use with small models. So I made a TUI just for the terminal for tasks related to the system OS (packages/ errors /disk-space / monitoring system etc.). It has a full agentic loop and optimized for small models.

Key features are

• System Context: Full awareness of the host OS (paths, services, and environment) for the question or task
• Terminal-first workflow: Natively works with the terminal. You can execute terminal commands directly from TUI and the model will have the context
• Built-in SafeGuards: A safeguard system that only allows read operations so the model can't mess up anything. (This is what I saw missing in many tools)
• Phone messaging: Can be operated via external devices like phones. So you can manage your system easily.
• Optimized: Efficient tools for compact output. Saves tokens and keeps context window small. Auto Context compression inside agentic loop
• Lightweight and fast: Small footprint and responsive UI. Runs natively on terminal.
• Small-model friendly: Works with models under ~10B parameters. Tested with Qwen3.5:9B and Gamma4:E4B models ( these are models I could run locally)
• Works for any model provider as long as there is a "chat/completion" API
• Fully open-source.

  

Check it out here: ShellClaw Github and leave some feedback. Its open source so feel free to contribute to the project

https://i.redd.it/eek9wx45fdzg1.gif

Hey everyone, I’ve been struggling with using the AI services (there are so many now. ChatGPT, Gemini, Grok etc) for my research tasks... constantly jumping between tabs and copy-pasting context. I was spending more time managing tabs and contexts than actually getting results. So, I built a browser extension that turns the entire browser into a single AI agent hub. It was fun to make, but I am now looking for some actual feedback.

Here are the key features:

• Parallel Chat: You query Gemini, GPT, Perplexity, and Grok simultaneously in one view. If you continue the conversation, it updates all the service tabs in parallel. One main chat controls everything. So it's like you will be talking to all of them at the same time and will get one unified conversation. Reduces copy-paste and you get one unified conversation (the tabs will be there as sources so you can jump back anytime).

https://i.redd.it/fni1gdw1vczg1.gif

• Native Writing tool & "Diff" Support: It provides an autocomplete/writing tool in any text field on websites. I added a diff format so you can see exactly what the AI wants to change and pick/choose which edits to accept (kind of like a GitHub PR).

https://i.redd.it/5npef59avczg1.gif

• Across Tab Contexts: You can add multiple active tabs or local PDFs as context for a single prompt. Saves time to copy-paste things from tabs.
• Sub-Agents: Subagents for each tab so it can run multiple tasks in the background while you are working on other tabs

https://i.redd.it/3gfeiz4ivczg1.gif

• Chat Sessions: Session system so you can jump back into the task with relevant tabs and the conversation quickly

I want to make a good harness for web browsing. It uses fixed API for now (for free), I am preparing an open platform release so everyone can use their own local models or API services. It does not collect any data.

Here is the link to the extension: Qorpus Chrome Extension

I’m looking for some honest feedback:

• Is this actually useful, or just an overkill passion project?
• What would make you actually switch from your current workflow to something like this?
• Any features I can add that can be valuable?