Hello guys I was working hard, just want to tell what i will publish soon
Almost everything is ready, even plugin (Beta, now ready only with github).
Stay Up to date guys!
I would glad to know what you want to add, thaks for feedback ❤
Original post: https://www.reddit.com/r/ollama/comments/1uh0f3p/local_agent_studio_based_on_ollama/
I just pushed Local Agent Studio v0.2.0.
It is a local-first desktop agent UI built around Ollama, ComfyUI, workspace files, web search, terminal tools, and user-controlled providers.
New in v0.2.0:
- Linux build
- Initial MCP support
- Runpod provider settings for remote LLM/ComfyUI-style workloads
- Editable messages with real context rewind
- First-launch workspace setup
- Tool permission controls
- File preview/download panel
- Chat export/import
- Custom ComfyUI workflows
- Reasoning levels: Off / Low / Medium / High
- Update button
- Drag/drop and clipboard image&file attachments
- Smoother UI
Runpod and MCP support are still early, so feedback from real setups would help a lot!!
Repo:
https://github.com/CrazyDashTool/Local-Agent-Studio
Thanks for all activity that you made, i love you guys ❤
Hey everyone,
I’m working on Local Agent Studio, a Windows desktop app built around Ollama that tries to bring a local-first "Agent Mode" experience into a normal ChatGPT/Claude style UI.
The idea is simple: keep the chat interface familiar, but let the assistant use local or self-owned tools when needed.
Current features:
- Ollama chat with streaming responses
- model picker and reasoning panel for models that support thinking
- image input for vision-capable Ollama models
- ComfyUI integration for image generation workflows
- web search through SearXNG, SerpAPI, or Ollama Web Search
- workspace file creation/editing/preview
- local JSON/CSV/SQLite database creation from objects
- subprocess/Docker sandbox commands
- light/dark/system themes
- English/Russian/Ukrainian/German/Polish UI language options
One thing I recently changed: the app now asks Ollama to decide whether an image should be generated before calling ComfyUI. So the flow is:
Prompt -> Ollama tool decision -> ComfyUI only if needed
That means questions like “what is in this screenshot?” go to the vision model, while “generate a banner” can route to ComfyUI.
I’m still polishing the project and would VERY happy to have feedback from people who use Ollama locally
https://github.com/CrazyDashTool/Local-Agent-Studio
Edited: Im so sorry, but i forgot to put set up file on github realeses, now it fixed
Edited 2: Guys, im so happy that you like my creation, now im updated L.A.S. to version 0.2.0
Full changelog: https://github.com/CrazyDashTool/Local-Agent-Studio/releases/tag/Linux-Update
Also got Linux suport!
I created a character generation workflow with great input and output results.
Also packed it into a small subgraph so you can use it easily.
--- How it works ---
Inputs: Race, age, personality, setting, gender, additional info
Process: Batching your inputs and sending to LLM → Generating a full .json prompt → Sending to Ideogram v4.0 → Sending your inputs and generated image to LLM → Backstory
Outputs: Image with 2x2 grid showing the character from different sides, short backstory
So you can use it for any things you want, thanks for your attantion
Link to download - https://github.com/CrazyDashTool/Holy-value-ComfyUI/tree/main/Game%20assets
It’s mainly meant for a server with a single GPU, where a few users can use the same site instead of everyone setting up their own stack.
What it includes:
Stack:
Repo:
https://github.com/CrazyDashTool/Apex-ai
It’s basically a run your own AI site for friends setup, especially if you only have one GPU and want everyone using the same box.
I have searched acros the internet about this, but i can only found the deleted hugginface model, or suspended workflows. If you have some info please share it with me
I created a story generation workflow from 1 simple prompt
Now I want to show you some outputs with prompts
I have tested the workflow on RTX 3060 12gb.
First generation - 587s
Second generation - 559s
Story about how YouTube was createdAlso you can see prompt and image for each frame
Link to download workflow, enjoy
https://drive.google.com/drive/folders/1dnUN4pryzvUhY5uBdR5rjQ-8W2rTGjGp?usp=sharing
P.S.
Sorry, my RTX 3060 can't handle Flux.2-Dev in that workflow so i just picked that model
Update 1:
Thanks for your feetback, gemini now writes a continuity-focused character bible into panel prompts, uses fixed 4-panel pacing (establishing, action, reaction/clue, payoff), checks previous frames as visual references, and outputs a fixed 2x2 comic grid with white gutters.
Is there some function that you need, if yes just write me about it and i will create it (throw custom node)
I updated the my AI companion for ComfyUI to version 1.2.1https://www.reddit.com/r/comfyui/comments/1t3lmus/i_created_an_ai_assistant_comfyui_custom_node/
So there is some new updates:
>Use api key for that. https://ollama.com/settings/keys
> Use image compatetive model
>Some of providers support that method
>Thanks Alchemist42 for some ideas!
>You type simple prompt and AI enchase it
>Code blocks e.g.
>Just S2T
>Chat sessions like in the ChatGPT, Gemini, Claude etc
Screenshots:
<I will add them later>
How to install:
>Go to comfyUI folder -> custom_nodes -> Open cmd and run
git clone https://github.com/CrazyDashTool/ComfyUI-AI-Assistant
Link on github:
Please star the project, thanks ❤
https://github.com/CrazyDashTool/ComfyUI-AI-Assistant
Hello everyone, i just want to know if there is any easy way to use comfyUI as engine to my app?
I created an AI assistant ComfyUI custom node that can help you analyse, create, debug or even generete ideas from your model list. You can ask or coowork with AI model.
You can test with your api keys or local with ollama or LMstudio
Here is a link
https://github.com/CrazyDashTool/ComfyUI-AI-Assistant
To simply get started clone that folder in your comfyUI in custom nodes using that commandgit clone https://github.com/CrazyDashTool/ComfyUI-AI-Assistant
Than go to that folder and run command via cmd pip install -r requirements.txt
Enjoy.
