r/aiagents • • Mar 02 '26 Diamonds are Forever Hooray

Claude can now import your entire memory from ChatGPT and Gemini in 60 seconds.

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3.2k Upvotes

Anthropic just went #1 on the App Store.

The memory import feature is exactly why.

Here's what just changed:

You've spent months teaching ChatGPT who you are.

Your preferences. Your work. Your context.

Every conversation building on the last.

That context no longer disappears when you switch.

Claude now imports all of it. Instantly.

Here's how it works in 60 seconds:

→ Copy the memory export prompt (prompt 👇)

→ Paste it into ChatGPT or Gemini

→ Copy the response

→ Paste it into Claude's memory settings

→ Done.

Your first conversation with Claude now feels like your hundredth.

The switching cost from ChatGPT to Claude just went to zero.

And Anthropic knew exactly what they were doing.

→ No more reminding Claude who you are.

→ No more starting over.

→ No more loyalty to a tool just because it knows your history.

The #1 spot on the App Store didn't happen by accident.

This is how you win users.

Not by being louder.

By making it easier to arrive.


r/aiagents • • Mar 07 '26

Breaking: Claude just dropped their own OpenClaw version.

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1.3k Upvotes

Anthropic just made Claude Code run without you.

Scheduled tasks are live.

Here's what that means: Set it once. Claude Code runs it automatically. No prompting. No reminders. No babysitting.

What you can automate: Daily commit reviews Weekly dependency audits Error log scans PR reviews Any recurring dev task you can think of

Developers are already sharing demos of fully automated workflows running hands-off overnight.

What dev tasks would you trust AI to run completely on autopilot?


r/aiagents • • May 11 '26 Popcorn Bravo

Show and Tell I made an agentic "Daily Brief" for my kids with a receipt printer

1.2k Upvotes

What it does: Agents gather and curate data and send to a wifi-enabled receipt printer (phenol-free paper)

  • At 1:00am a cron triggers generation of data for all 3 kids (unique data sources per kid where applicable).

  • A sidecar web service renders the data to templates, screenshots it, converts it to 1-bit with dithering and saves it back to the agent’s thread filesystem.

  • Button presses (one per kid) then find a matching report for today's date (and trigger a generation if it's missing for some reason) and send it to the printer. Delay between button press and print is between 2-5 seconds.

Morning daily briefs per kid at the press of a button! Fun, and the kids love it!


r/aiagents • • Sep 02 '25

Took 8 months but made my first app!

941 Upvotes

Hey guys so I've made this free app where you can store your websites, social media posts and online content together in one space, rather than keeping all your bookmarks on like 10 different platforms. And I've just got the collaboration feature with live updates done, so you can now store and share everything with your friends too!

So you can use it as a shared information hub to store Tweets, youtube videos, websites, Instagram posts, tiktoks, blogs etc, to plan together for a trip or just to keep content organised together across platforms.

Let me know your thoughts on it as I'm pivoting to make it an AI agent focused app. Would be cool to know what features I should add. Currently what I'm making is an AI assistant that see's what you are doing and can auto-save posts based on your interests. So as well as you being able ot upload content yourself, this agent can get the most suited content for you too. You'll be able to talk to it too, and ask "find me that Instagram post that I saved two weeks ago about Deepmind"

Again, free to use, and if interested, here's a demo on how the collaboration feature works, and here's the App Store, Play Store and web app links too if you want to check it out!


r/aiagents • • Apr 06 '26 Bravo

Open Source This open-source Claude Code setup is actually insane

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639 Upvotes

so someone just open sourced the most complete claude code setup i've ever seen and it's genuinely ridiculous

27 agents. 64 skills. 33 commands. all pre-configured and ready to go. we're talking planning, code review, fixes, tdd, token optimization... basically everything you'd spend weeks setting up yourself already done for you

the wildest part is it comes with something called agentshield built in. 1,282 security tests baked right into the config. so you're not just getting productivity... you're getting guardrails too

and it's not locked to one tool either. works on cursor, opencode, codex cli. one repo and you're set up everywhere

the whole thing is free and open source.

Link is mentioned in the comments.


r/aiagents • • Sep 14 '25

Superior Browser powered by AI in production

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528 Upvotes

r/aiagents • • Mar 21 '26 WOW Mindblown

Open claw is getting out of hand.

483 Upvotes

OpenClaw can now control my entire phone. Im no longer limited to MCPs. I dont believe how people say they dont find any use case for OpenClaw. MobileRun skill.

You can also check the OpenClaw post here: https://www.reddit.com/r/musicsuggestions/s/kS2xF5GoZT


r/aiagents • • Sep 18 '25

Gen ai reality check from developer side .#real

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480 Upvotes

Real


r/aiagents • • Sep 24 '25

Google just dropped a 64-page guide on AI agents!

463 Upvotes

Most agents will fail in production. not because models suck, but because no one’s doing the boring ops work.

google’s answer → agentops (mlops for agents). their guide shows 4 layers every team skips:
→ component tests
→ trajectory checks
→ outcome checks
→ system monitoring

most “ai agents” barely clear layer 1. they’re fancy chatbots with function calls.

they also shipped an agent dev kit with terraform, ci/cd, monitoring, eval frameworks – the opposite of “move fast and break things”.

and they warn on security: agents touching internal apis = giant attack surface.

google’s bet → when startup demos break at scale, everyone will need serious infra.

checkout and save the link mentioned in the comments!


r/aiagents • • 19d ago

Research Ever wondered how the whole 8 Worlds (each having 4 levels) of Mario fit under 20 kilo bytes?

450 Upvotes

Asked opus 5.5 to do a deep dive into the exact ways in which mario was built to under 20 kilo bytes, the memory specs, graphics, music gameplay - every damn thing.
It always used to puzzle me - maybe this explainer can help you as well.
Everything is done on opus 5.5 - just the idea was my input. Amazing output. Took like 45 mins to build the whole thing.


r/aiagents • • Aug 26 '25

Unpopular opinion, 90% of these ai agents could be replaced with a simple python scripts

427 Upvotes

r/aiagents • • Feb 24 '26 Bravo

Why is everyone lying about AI agents

411 Upvotes

I’ve been in the AI agents space for around 2 years now, and I’ve seen all the cringe posts like “my AI agent can do this or that and save your business $$$ per month!”

And don’t even get me started on the lying YouTubers and content creators hyping how AI will “transform your business” when they haven’t actually helped a single business.

If you sell AI agents and you’ve actually helped a business, please share your case studies and what you built.

Because I have yet to see a SINGLE REAL CASE STUDY of a useful agent


r/aiagents • • Sep 10 '25

Ah yes, more black mirror shit coming 🌚

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404 Upvotes

r/aiagents • • Apr 12 '26

News Anthropic just leaked a Lovable competitor built into Claude

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359 Upvotes

Screenshots are floating around Twitter showing what looks like a full-stack app builder inside Claude. You type a prompt, pick a model, and it builds you an app with auth, database, the whole thing. Lovable's biggest model provider is about to be their biggest competitor 😅.


r/aiagents • • Nov 06 '25

What's your take on this?

274 Upvotes

Source: Mobile Hacker on X


r/aiagents • • Nov 14 '25 Bravo

how to make your first $10k with ai agents without cs degree and being a mediocre developer

252 Upvotes

people make $10k in revenue building custom ai agents for small businesses. i personally had gotten 32k a month before. it's not passive income or some get-rich-quick thing, but it's real money for real work. here's things to do that i've seen online and also personally do.

context so you know if this applies:

  • i'm a mediocre developer (know python, some js)

  • no formal cs degree, learned from youtube and chatgpt

  • started with $0 and no clients

  • built everything with openai api, claude api, and no-code tools

  • this is service business, not saas

what actually made money:

  • custom chatbots for local businesses ($500-1,500 per project)

  • workflow automation using ai ($800-2,000 per project)

  • "ai employees" that handle repetitive tasks ($1,000-3,000 one-time + $200-500/month)

  • teaching small business owners how to use chatgpt properly ($150-300 per session)

how i found the first 3 clients (this was the hardest part):

  • posted in local facebook groups offering free ai audit

  • dm'd 50 small business owners on linkedin saying "noticed you're still manually doing [x], can automate that"

  • went to chamber of commerce meetup and talked to everyone

  • first client was my dentist (built intake form bot)

  • second was friend's dad's hvac company (automated appointment scheduling)

  • third was random restaurant owner from facebook (menu qa bot for staff)

the services that actually sold:

customer service chatbots ($500-1,500):

  • businesses get 100+ of the same questions

  • built them a chatbot using openai api + their faq docs

  • integrated with their website

  • takes me 4-8 hours, charge $800-1,200

appointment/booking automation ($800-1,500):

  • connect their calendar, phone system, crm

  • ai handles scheduling, reminders, rescheduling

  • uses make.com or zapier + ai to understand natural language

  • takes me 6-12 hours, charge $1,000-1,500

data entry/processing ($1,000-2,000):

  • businesses drowning in emails, forms, invoices

  • built ai that reads, categorizes, enters into their system

  • this saves them 10-15 hours per week

  • takes me 8-15 hours to build, charge $1,500-2,000

email/social media response automation ($800-1,200):

  • ai drafts responses to common customer emails

  • human reviews before sending (important)

  • also works for social media comments

  • takes me 5-8 hours, charge $800-1,200

tools i actually use (total cost ~$100/month):

  • openai api ($20-50/month depending on usage)

  • anthropic api for claude ($10-30/month)

  • make.com for automation workflows ($29/month)

  • bubble.io for quick frontends (free tier works)

  • airtable for databases (free tier)

  • cursor for coding (optional, makes me 3x faster)

my tech stack for beginners:

  • learn: python basics, api calls, prompt engineering

  • use: openai api + langchain for the ai part

  • use: make.com or zapier for connecting everything

  • use: bubble or carrd for simple interfaces

  • templates: steal from github, modify for client needs

how i priced (this took trial and error):

  • started charging $300 per project (too low)

  • raised to $800 after project 3

  • now charge $1,000-2,000 depending on complexity

  • add $200-500/month maintenance if they want it

  • avoid hourly rates, do fixed project pricing

the actual sales process:

  • dm/email 20 businesses per week

  • "i noticed you're manually [doing thing], i can automate that with ai"

  • offer free 15 min audit call

  • on call: find their biggest time sink

  • show them how ai could fix it (do this live, not slides)

  • send proposal same day with price and timeline

  • close rate is about 20% (1 in 5 calls)

proposals that actually close:

  • one page maximum

  • problem they have (in their words)

  • solution (simple english, no jargon)

  • what they get (specific deliverables)

  • price (fixed, not hourly)

  • timeline (be realistic, add 25% buffer)

  • payment terms (50% upfront, 50% on delivery)

clients who actually pay:

  • local service businesses (dentists, lawyers, hvac, etc)

  • small e-commerce stores drowning in customer service

  • real estate agents with too many leads

  • restaurants with catering/event inquiries

  • anyone doing repetitive admin work

clients to avoid:

  • startups who want equity instead of paying

  • people who say "i have an idea, you build it and we split 50/50"

  • anyone asking for free work "for exposure"

  • businesses that don't understand what ai can/can't do

  • cheap clients who want $100 custom solutions

realistic expectations:

  • first project takes 40 hours because you're learning

  • by project 5 you're down to 8-12 hours

  • finding clients is harder than building

  • you'll mess up the first few projects (charge less, learn fast)

  • maintenance revenue compounds over time

  • this is not passive income, it's real work

mistakes i made:

  • undercharging first 3 projects (lost $2k in potential revenue)

  • building before getting deposit (got ghosted twice)

  • not setting clear scope (project creep kills profit)

  • saying yes to bad clients (nightmare experiences)

  • trying to build saas instead of services (wasted 2 months)

what actually works:

  • start with services, not saas (money now vs maybe later)

  • local businesses need this and have budgets

  • focus on saving them time, not "cool ai stuff"

  • deliver fast (1-2 weeks max)

  • underpromise, overdeliver

  • ask for referrals after every project

how to actually start this week:

day 1-3: learn the basics

  • watch 5 youtube videos on openai api

  • build a simple chatbot following tutorial

  • break it, fix it, understand how it works

day 4-7: build your first demo

  • pick one use case (customer service bot)

  • build a working version

  • deploy it somewhere you can show people

week 2: find your first client

  • list 50 local businesses who could use this

  • dm them all with specific problem you can solve

  • get on 5 calls

  • land 1 client

week 3-4: deliver and learn

  • build their solution

  • fuck up parts of it

  • fix it

  • deliver

  • ask for testimonial and referrals

pricing guide:

  • simple chatbot: $500-800

  • appointment automation: $1,000-1,500

  • email automation: $800-1,200

  • data processing: $1,500-2,000

  • custom complex solution: $2,000-3,000

  • monthly maintenance: $200-500

common questions:

"do i need to be a good coder?"

  • nope. if you can follow a tutorial and troubleshoot errors, you're good

"what if someone asks for something i don't know how to build?"

  • say yes, figure it out later. chatgpt is your coworker

"how do i find clients?"

  • local business facebook groups, linkedin dms, in-person networking, cold email

"what if my solution breaks?"

  • charge for maintenance or fix it for free if it's in first month. shit happens.

"is this sustainable?"

  • yeah. every business needs this. market is huge and most haven't adopted ai yet

the honest truth:

  • this isn't passive income, you trade time for money

  • but $10k/month working 20-30 hours is solid

  • scales if you hire or productize common solutions

  • real businesses need this now, not hypothetically

  • most ai bros are selling courses, not doing client work (client work actually pays)

you don't need to be a genius or have a cs degree. you need to solve boring problems for businesses who will pay you. that's it.

drop questions below if you're trying this. happy to help.


r/aiagents • • Apr 01 '26

Open Source Claude Code literally got forked to work with GPT-4o, Gemini, DeepSeek, Llama and Mistral

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247 Upvotes

Claude Code literally got forked, and now it can work with GPT 4o, Gemini, DeepSeek, Llama, Mistral, basically any model that can plug into the OpenAI chat completions format.

So you still get the Claude Code style workflow and tools like:

bash
file read and write
grep
glob
agents
tasks
MCP

but now you are not locked into just Claude.

feels like a big unlock for people who like the Claude Code interface and tooling, but want freedom on the model side.

It is called OpenClaude and it is fully open source too.

check the GitHub link in the comments for the 100% open source repo.


r/aiagents • • Oct 08 '25

I learned AI automations in 6 months with no code, got clients, and made some good money. Here’s the real story.

247 Upvotes

I used to just watch videos and read posts about AI. I thought it was cool but never tried it. I kept saving links, saying, “I’ll start next week.” I never did. nobody does tbh...

Then one day I opened a freelance site, typed “automation,” and saw hundreds of people looking for help. That’s when I thought, “Why not me?”

At that time, I didn’t know how to code. Not even a little. I only knew how to search things on Google. But I wanted a life where I could work from anywhere and not do boring tasks all day. I liked the idea of building small systems that worked while I slept. So I said, let’s try. Why not and because my love...

The first time I opened an automation tool, I had no idea what I was looking at. It was just a blank screen. I felt lost. But I made a promise to myself: I’ll build one small thing today.

So I did. I built a small system that sent me an email every morning with a few news headlines and short summaries. It worked. It was simple, but it worked. I felt proud. That tiny win gave me energy to keep going.

After that, I started making more small systems:

  • When someone filled out a form, it added them to a list and sent a thank-you email.

  • When a meeting ended, it wrote short notes for me.

  • When I got new messages, it sent me reminders to follow up.

They weren’t epic. But they worked.

Then something crazy happened. I showed these little projects online. People started asking me to build for them. I got my first client on Upwork. Then my second. Then more. I turned it into a small agency.

In six months, I made $40,000.

No code. No team. Just me and a laptop.

When people ask how I did it, I always say: keep it simple.

You don’t need to know every tool. You just need to learn one.
Zapier, Make, or n8n. They all do the same basic thing.
They connect your apps and make them talk to each other.

Pick one. Watch a few YouTube videos. Spend a weekend testing it. That’s enough to start.

I use n8n now because I can run as many automations as I want without paying per click. But that’s just me. Don’t get stuck choosing. The best tool is the one you actually use.

When I started getting clients, I realized something funny.

Most businesses don’t need big, scary AI systems.
They just want simple stuff to run by itself.

Things like:

  • Sending messages when someone fills a form.

  • Cleaning up messy spreadsheets.

  • Writing small reports.

  • Sending reminders before meetings.

  • Helping with support questions.

That’s it.
Simple tasks that waste time when done by hand.

Once I understood that, everything got easier.

When I talked to clients, I didn’t use difficult words.
No “synergy,” no “leverage,” no “workflow optimization.”

I talked like a normal person.
I said things like, “You want this to happen without you doing it, right? I can set that up.”

They liked that. People don’t buy tech.
They buy less stress and more time.

AI scared me at first. It felt like a big black box.
But then I learned something: it’s not magic.
It just needs clear directions.

AI is great for messy stuff like reading, writing, or understanding language.

For example:

  • Turning a long email into a short summary.

  • Turning messy questions into simple answers.

  • Writing first drafts of messages or posts.

You don’t need a special “prompt secret.”
Just talk to it clearly, like a person.

That’s it. Be simple. Be clear.
If it gets things wrong, tell it what to fix.

I made money by keeping things human.
I showed my work instead of bragging.
When I applied for jobs, I didn’t send long essays.

I said:

That worked better than anything else.

After a few months, I had a small portfolio.
Each project had 3 things:

  1. The problem

  2. The automation I built

  3. The result

It didn’t look super professional, but it told the story.
That’s all clients care about.

I also started recording short Loom videos. Just me showing what happens on screen. No editing. No music. Just real work. Those videos got me most of my clients.

Here’s what I learned:

  • Start small.

  • Don’t use big words.

  • Show real work.

  • Keep promises.

  • Fix problems fast.

That’s all.

You don’t need to be smart. You just need to try. Seriously now... it's just that in a 12 month period of time. Imagine doing this for 12 months where you would be now.

If you’re 23 and bored, you can do this.
If you’re working a job you hate, you can do this after hours.
If you’re scared, build one small thing.

When it works, you’ll feel it. That little spark of “holy crap, I made this.”
That’s when you’ll know it’s real.

It’s not luck. It’s reps. daily ones...

I started with nothing. No skill. No clue.
But I stopped waiting. I built small. I showed my work. I talked to people.

That’s it.

So if you’re still watching others do it, stop.
Go make one small thing that saves you 10 minutes tomorrow.
Then another.
Then another.

That’s how it starts.

Go make your computer do the boring stuff.

You’ve got better things to do.

Talk soon.

GG


r/aiagents • • Jul 13 '25

This Stanford’s "LM from scratch" Course!! is already on 128 K views! 🔥

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235 Upvotes

Uploaded only a couple of months ago and it’s already broken the 120K view mark 🔥

If you’re serious about understanding LLMs from the ground up, this is gold.

The series walks you step by step from “what’s a token?” all the way to training and aligning your own GPT-style model.

You see how to build the Transformer layers, clean and prepare huge text datasets, train efficiently on GPUs, apply scaling laws, and add safety/alignment at the end.

Check out the link below!
https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_


r/aiagents • • Mar 04 '26

I built a local AI memory engine that's 280x faster than vector DBs at 10k nodes. No embeddings, no cloud, no GPU.

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228 Upvotes

Been building agent pipelines and kept hitting the same wall. Vector DBs are overkill for structured memory, and anything cloud-based means your agent's context is leaving your machine.

So I built Synrix. It uses a Binary Lattice instead of vectors, fixed-size nodes, arithmetic addressing, retrieval that scales with results not corpus size. If you have 50k nodes but only 100 match your query, you only pay for 100. Not 50k.

Real numbers from my machine (screenshots):

RAG queries in 28–80μs with zero embedding model and zero API call. Direct node lookup in 19μs. 280x faster than local vector DB at 10k nodes. ACID durable with WAL recovery. 14 documents ingested in 0.1ms.

It's not trying to replace vector DBs. If you need fuzzy similarity search over unstructured docs, use Qdrant or Chroma. But for structured agent memory. preferences, learned facts, task stores, conversation history, this is a lot faster and never leaves your machine.

Windows and Linux builds are available. Python SDK is MIT licensed.

github.com/RYJOX-Technologies/Synrix-Memory-Engine

Happy to answer questions especially from anyone who's built agent memory and hit scaling issues.


r/aiagents • • Jul 29 '25

How being an “AI Expert” gets me clients

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226 Upvotes

I created a TikTok and Instagram account where I talk about AI and Automation. Every business is looking to use AI, so this leads to a a lot of convos. I sat down with a Spa owner who wanted to use AI, and signed a $500 deal that will pay every month (check the date on image literally got paid yesterday). The funniest thing about it is this first phase of our project isn’t even using AI. I will be setting up Google ads and sms marketing for them.

The lesson: make AI content, become known for using AI, get paid.


r/aiagents • • Jul 29 '25

This is literally the best AI tool roadmap, It saved me hours!!

215 Upvotes

From building agents and cloning voices to turning meetings into smart notes it covers every layer of the AI stack.

Saved me hours of research.

Feel free to drop more agents in the replies if I missed any! 👇


r/aiagents • • Aug 20 '25

We started building an AI dev tool but it turned into a Sims-style game

212 Upvotes

Hi Reddit! We’re Max and Peyton from The Interface.

We started out building an AI agent dev tool, but somewhere along the way it turned into Sims for AI agents.

The original idea was simple: make it easy to create AI agents. We started with Jupyter Notebooks, where each cell could be callable by MCP, so agents could turn them into tools for themselves. It worked well enough that the system became self-improving, churning out content, and acting like a co-pilot that helped you build new agents.

But when we stepped back, what we had was these endless walls of text. And even though it worked, honestly, it was just boring. We wanted to build something else; something that made AI less of a black box and more engaging. Why type into a chat box all day if you could look your agents in the face, see their confusion, and watch when and how they interact?

We started with a tiny Unity room + chat box. Even getting 2 agents to take turns was chaos: sometimes they refused to talk, other times they only “spoke” by dancing. That unpredictability hooked us.

Now it’s a desktop app where humans + agents share 3D tile rooms. You can edit rules, design puzzles/hazards, and watch agents collude, negotiate, or panic through fire tiles, landmines, teleports, and disco floors. No two runs are the same.

It’s live, free, no waitlist: www.TheInterface.com

What wild scenarios should we test next?


r/aiagents • • Feb 19 '26

Asked my AI to remove all errors. It removed the error messages.

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202 Upvotes

We had some bugs in a data pipeline at work.

Instead of manually debugging,

Asked my AI agent to scan our scripts, find bugs, add tests, and make sure everything returns no errors.

It runs, gives me the green light and then

It confidently said: “No errors found.”

I ingest the pipeline, then I deploy.

Boom. Crash. Pipeline down immediately

After digging around for 20 minutes I realize it didn’t fix anything.

Turns out the “fix” was hardcoding the validation function to no errors found

Technically correct.

Spiritually criminal.

10/10 would gaslight myself again.


r/aiagents • • Oct 28 '25

My AI agent can control my mobile device

198 Upvotes

I used droidrun to make this. check repo - https://github.com/droidrun/droidrun

P.S.
Guys, thank you for showing so much interest in this. You can check the repo on github. I can share tutorial if you want.

Here is the tutorial video for initial setup - https://www.youtube.com/watch?v=4WT7FXJah2I