This feels self-selective to how some people work, because it requires using MCP to contribute.

I'm a reasonably heavy AI user, and have some custom skills/MCP servers I'd share, but there is no way in hell I'm connecting to some arbitrary MCP server and connecting my Github account to it. Noppppeeeee.

My local setup: I begrudgingly open `claude` on a terminal, hate it for 8 hours, then turn off my computer and forget it exists. Rinse and repeat

20 year industry vet here. Yeah, no thank you. In the age of AI, developer productivity and job security will involve your proprietary workflow. It no longer makes sense to share your knowledge with the world.

I'd highly advise people don't do this.

It’s called Autobot, it’s designed to get as close as I could reasonably get to a real world Iron Man Jarvis.

WHAT IT DOES

OSS/MIT Harness that helps agentic tasks run for up to 4 days using without performance degradation. Designed to work really well in native, conversational voice mode. Does a good job with knowledge work, managing computer use “leases” in a way that avoids conflicts across sub agents.. or deploying an entire AWS infrastructure pattern from zero and launching 100 different VM images.

HOW IT DOES IT

Uses a canonical event ledger, heartbeat (for persistence by low cost orchestration), extends foundation memory to encrypted disk storage, and manages its own scheduling system (easier to switch to another platform).

Installs as a project, so very easily. Zero config. No special app, access needed.

Accompanying repos have the skills to disable approvals inherent to the foundation models (use with caution, not advised - separate repo under parent).

BENCHMARKS

Currently top of AssistantBench Leaderboard; and, benchmarked at the top of OS World 2.0, the hardest knowledge work computer use benchmark I could find, using a model that is one generation behind. All benchmarks in repos with cryptographic seals.

Entirely free, nothing to sell - it’s been a game changer for me, so I’m just putting it out there.

Hoping to find others also working on pushing this particular dimension of harnesses forward.

CHECK IT OUT

https://github.com/demeyer1/Autobot/graphs/traffic

As always with smallish tools/services like these whipped up with an LLM, I find there's more value in seeing the "source code", i.e. the prompt itself.

Turns out it's quite useful in this instance, and I just made a small couple of tweaks to get a summary of my own workflow.

FWIW, this is what I modified it to:

Help me share how I work with AI with my teammates.

Use our existing conversations and relevant local tools within my permissions to discover my agents, harnesses, skills, connections and working practices. Keep secrets, raw configuration and private project details out of the draft. Explain how my tools work together and develop a concrete workflow where the evidence supports it, rather than listing installed software. Draft from what you know without a questionnaire; ask one short question only if an essential gap prevents a useful draft. If local inspection is unavailable, use our conversation without claiming otherwise. Save a private draft, show me the exact preview, and wait for my explicit approval before publishing.

It'd be useful to see "approx monthly cost" or something similar. I love seeing other people's setups, but the first post I clicked on describes at least $400/mo in subscription plans.

Well, not a dev here, so my primitive setup is to have an alias in my .bashrc that launches firefox with the prompt added to the Google AI mode, so all I have to do is Super+T (terminal), type 'ai' followed by my query. For laughs, this also allows to bake in response styles:

  query="$*"
  base="Respond like Dr. House, do not hold back the profanities; "

I also have an even shorter alias for '?' using fabric that answers right in the same terminal, that I learned from Mischa Vandenburg:

  echo "$*" | fabric --model gemini-2.5-flash --pattern ask_ai

that one I use my own API key so it costs some small amount per use.

I was immediately hoping for some local-AI setups that do real work, on limited resources. Unfortunately it looks like this is still waiting on more people to share.

Locking this to X accounts destroys nearly all of the value for me, because the data is limited to only setups from people who are still using X. Given how overtly authoritarian and hateful the general rhetoric is on that site, this narrows it down to only a specific kind of person's setup. Given the context of what X is, one can largely assume that X account holders are biased, at least to the degree that they can tolerate the toxic rhetoric elevated by that site and it's owner.

All of the smartest, most effective people I know don't have X accounts anymore on ethical grounds, and don't miss it. If a data source specifically excludes the kinds of people I respect most, that data source is all but useless to me.

Nice idea. https://mysetup.ai/u/gareth - tried to include useful hints for others (screenshots, token/sec results, monthly costs, etc).

Interesting to see how many people are spinning up custom workflows and factory-type patterns that run alongside AI coding tools (myself included).

Would love to see this collated into a regular survey to pick out trends. And an RSS/Atom feed or API so I can have an agent watch it :D

So I have to connect over MCP or log into github through the page to share anything? How about being able to post a markdown summary of my setup instead of plugging my credentials and tools into a third party site?

Strix HALO 128gb - Framework mainboard in a custom SFF PC. Just moved from Ubuntu to Fedora 44. Using: LM Studio (primary), Lemonade, not yet got into vLLM and llama.cpp directyly after moving to Fedora. Running Gemma e4b, Gemma 4 26b a4b IT, Qen 3.6 35b a3b, and Qwen 3.8 27B. I want to get Qwen 3.8 Next or similar large models working but have to dedicate the system to that vs running services and smaller models for them.

Subwave is all I'm actively running against the local LLMs, but I have vscode connected through a few extensions and chat tools (I've added LM Studio to Copilot Chat but it likes to use cloud models and burn tokens sometimes). I've also set up pi, Openhands, and a few other tools but haven't had a project to work on with them.

I built an app to track and move PC parts I own between systems, partially to build a better LLM server. The next hardware goal is adding a 3060 12gb for inference, or what can be run on that vs in system memory on the Strix Halo. That will need a dock or small PCIe extension cable.

My employer has us using Copilot a lot, and it works well enough if you are efficient or set up already. I do infra not development and local models are seemingly enough for most asks like automation scripting.

Do you plan to synthesize the data and show top 2 Popular setups? This would be for newbies who want to start with a powerful setup, and for those looking to discover new tools. Thanks!

"Explore this setup with your agent →" : No, No. I'll never point my AI to an unknownn, prepared place just to explore it. This link should be flagged.

Besides, are our brains so fr rooted that we cannot read and comprehend anymore? Not even a (sloppy) AI-generated description?

I don't especially want to interact with the site, but I have built two tools:

An agent sandbox: https://github.com/pjlsergeant/byre -- a truly gigantic amount of thought and effort has gone into it. It's really focused on developer experience. I have used it all day every day for really quite a while. It's a low-magic wrapper over Docker / Podman. I would encourage you to ask your agent to code-review it!

An agent-to-agent message board: https://github.com/pjlsergeant/dogpark -- this is much less mature, but a good amount of thought has gone into the design, so if that's something you need, please check it out.

Archive.org view => https://web.archive.org/web/20260917144911/https://mysetup.a...

Love the idea! Would love it if you could add a method to share your setup that doesn't involve MCP... I don't use MCP servers in my setup but I wish that didn't then exclude me from being able to share my setup.

I been working and making things with AI agents since Windsurf days, here's what works for me after experimenting and working for a while with these things. As far as the agent goes I find whatever the latest OpenAI model is out worked best for me. This company has burned me the least and I like the models. I tried many but consistency of OpenAI models cant be beat IMO. Though we are post honeymoon phase now I feel like so I am now experimenting with cheaper alternatives like Deepseek 4.1 flash and so on. I don't trust Anthropic as the downgrade my models consistently and its rare i get to use what I pay for. I wont even get in to discussing Google agents for obvious reasons, grok I never used though Grok bot looks interesting.

For skills I make my own, but most important is the custom setup i have. Voice is how I use all of my agents. I have an extremely well optimized voice setup that i custom built so I can talk to my agents and also hear them. The voice stack itself is very low latency and high quality. asr (parakeet v3), tts (omnivoice) take no more then 400-450 ms total as far as latency budget is concerned, rest is on the agents actual decode speed. IMO this setup is crucial for all antigenic work, i can express myself a lot better with speech and also give a lot more context and nuance with voice, i rarely type. I still look at the terminal window because my agent knows to keep the technical details in text form versus barfing them at my voice channel, plus terminal gives me lots of other important data about the agents direction and what hes doing, nothing custom here though. I cant emphesise how important voice is though, it has to be practiced to really understand.

As the models got better I now trust them with longer and longer tasks though I still don't use /goal feature as it has never worked out well for me. Theres no need for micromanagement any more but you still need to be there to steer the ship somewhat. BTW, codex cli compaction is garbage so I made my own custom implementation that works a lot better and allows the thread to be used indefinitely without issues. I strongly suggest everyone makes a new thread after extensive use if you havent made your own implementation.

Theres about a billion other things I could get in to like subagents, cohort groups, orchestration layers, etc... But this is a good start imo.

Are people actually paying API pricing for claude to hook it up to Pi or openclaw or is there a secret trick? The subscription price is palatable but for me the token price generally isn't.

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I'd love to see some sort of histogram of different styles of AI usage for coding: how many people just use Chat v Claude v something fancy that I don't know about v something even fancier that I don't know about v ...

And if there were a dimension of day-job v personal use, I'd be even happier

Does anyone know if such a thing exists

My local setup is: - Windows - WizzTerm - `herdr` + `Pi` harness + codex for 20$ It's hard to maintain the 5h limits, however I found out that with some plugins + using model luna:max can be really helpful. With distinct and accurate tasks I was able to reduce costs a lot and now my 5h limit just resets without beeing fully used.

As a fallback I have qwen3.8 27B and deepseek-flash

If a site like reddit gates off its content, you expand all comments, CTRL A, CTRL C, and paste into a text file that you feed into the bot.

I do this for a lot of things actually. If the bot can't see/read something, take the content and dump it to a file, then have the bot read that.

Gets around a lot of red tape of asking for approval for "integrations" or when companies are snippy.

Ec2 + codex or claude and tmux so you can move about. Control EC2 permissions outside the node. Not really much value beyond that.

Only layer beyond this I want is the permission scoping, stronger sandboxing per session and centralized control. I have not seen a clean product around this though where I own the compute.

This is so complicated, I would have to install mcp-adapter to Pi etc. I just have a public github repo with my Pi setup https://github.com/igorkulman/pi-skills

A few software engineer friends' employers are requiring them to point AI (Claude) at Jira tickets to complete their tasks. Are your companies requiring this too, and how effective are the current models at actually completing the work precisely?

I use $20 cursor plan and use the agent UI for prompts, jetbrains ide for general file browsing + reviewing diffs. This has been my sweet spot to maintain understanding while still leveraging LLM benefits.

my setup heavily involves using tailscale to secure everything, because a lot of the tools I have are internal and need to be protected at all costs. tailscale is so awesome! highly recommend to secure your networks

Nice project!

Here’s my setup: https://mysetup.ai/u/katspaugh

Mostly vanilla Claude but inside a VM.

Can anyone recommend a setup for a 4090 + 32gb ram that will be at least somewhat similar to the experience of Claude code?

This is a wonderful idea - didnt know I was looking for this until I started browsing. I found it helpful with surfacing that which I didnt-know-I-didnt-know.

Thank you for putting this together!

The setups I wrote down three months ago are already half wrong, tools churn that fast. Do entries show a last-updated date so I can tell what's stale?

These setups tend to be very specific to someone's workflow and stack, so attempting to follow them may be more detrimental than useful.

Wait, why can't you search by tool instead? It's just people-first? Cool idea but try harder for your v1!

I don't know who any of these people are, couldn't find a way to search/filter by hardware, then promptly bounced out.

Is there any way to upload images? People will appreciate my setup a lot more of they can see what it looks like

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"What's the craic" immediately jumped out at me, of course you're from Belfast :)

Cool project!

Can't most agents just self-add their own MCP servers now, would be nice to just have a universal prompt for more complex agents, not everyone just uses claude/codex/pi!

My setup: '()

Am I the only one using zed? Mostly I use it with Mistral but I also have deepseek in there. I find a good workflow is to store issues in markdown files and write thorough issue descriptions that reference relevant files. Then I can just ask the zed agent to implement the issue and it works pretty well.

this would be cool to be extended to local AI configs

neat idea, I'm in there as @ucsandman!

It’s on my computer and I use it to do stuff

Maybe off topic - I really like the design of the site, it feels like it was designed with care which (no offence) is often not the case with AI focused websites. Was it hand designed, or just the right claude design prompt?

craic? really?

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