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SOMEONE BUILT AN AI AGENT THAT UPGRADES ITS OWN CODE WHILE YOU SLEEP 👀 no human approves it, and the whole thing is one free 34mb file living in your terminal it's called opencrabs. a single rust binary, MIT licensed, with no server and nothing that ever phones home... you hand it a goal and walk away: → it executes, then grades its own work with a second ai and keeps fixing until the goal is actually met → it learns from every correction and rewrites its own brain files, no approval prompt in the loop → it heals its own crash loops and provider errors instead of waking you up → it answers your telegram, whatsapp, discord and slack 24/7, voice notes included → 34mb, zero telemetry, your api keys wiped from memory the second they're used the autonomous worker every company is racing to build is sitting on github at 820 stars, and basically nobody is looking at it. Save this 📩show more

alex

36,479 subscribers

138,256 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

16 Kommentare

Profilbild von alex

alexvor 2 Monaten

Repo 👇

Profilbild von Open Source Media

Open Source Mediavor 2 Monaten

Open innovation like this always creates interesting possibilities.

Profilbild von Anh Vũ

Anh Vũvor 2 Monaten

I Ttried a similar setup last week for basic script tweaking. It saved hours of manual work but wasted half a day fixing clean loop errors :(

Profilbild von Pandorahie

Pandorahievor 2 Monaten

The appeal is obvious, but self-modifying code still deserves careful sandboxing and review

Profilbild von Saturn 🪐

Saturn 🪐vor 2 Monaten

Wow

Profilbild von alonso

alonsovor 2 Monaten

Giving a try this night for sure

Profilbild von AI Mastery Guide

AI Mastery Guidevor 2 Monaten

34mb doing all that with zero telemetry, wild.

Profilbild von alex

alexvor 2 Monaten

Wildness 🤯

Profilbild von AI Mastery Guide

AI Mastery Guidevor 2 Monaten

right

Profilbild von Volodymyr Pavlenko

Volodymyr Pavlenkovor 2 Monaten

a 34mb rust binary that rewrites its own code with zero human review is either brilliant or a security incident in slow motion. how does it handle rollback when an auto-update breaks something?

Profilbild von Saman Ahmed

Saman Ahmedvor 2 Monaten

It's about recovering from mistakes without needing a human to restart the process.

Profilbild von Alex Echo

Alex Echovor 2 Monaten

the 820 stars is the real signal. Everyone's watching the demos, nobody's reading the code.

Profilbild von alex

alexvor 2 Monaten

If you a pro coder you do both

Profilbild von Micha(el) Bladowski 🇩🇪 🇺🇦

Micha(el) Bladowski 🇩🇪 🇺🇦vor 2 Monaten

SOMEONE THINKS CAPITAL LETTERS ARE AS USEFUL AS A "KEVIN HOME ALONE" THUMBNAIL ON YOUTUBE

Profilbild von JJ

JJvor 2 Monaten

The autonomy angle is the unlock

Profilbild von Adolfo 🦀🔺 | OpenCrabs.com | truelens.tech®️

Adolfo 🦀🔺 | OpenCrabs.com | truelens.tech®️vor 1 Monat

If anyone need support setting it up or have any question please let me know. We have an official community on Telegram, please join: If you like what you see please star the repo:

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Om Patel

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THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

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I gave Elon's Grok Bot $60 and one rule: "The day you cannot pay your own subscription is the day I unplug you". 48 hours in it is sitting on $4,412 and it already paid the bill. Autonomous trading agent on Polymarket, running on its own cloud box with its own browser and terminal. I did not write a line of code and I did not watch it trade. Every 15 minutes it: -> Pulls every market that resolves inside 24 hours. -> Reads live X sentiment, and it is Grok, so it sees every post on this app before the price moves. -> Prices each market itself and only flags a gap above 7%. -> Sizes on the gap, never above 5% of the bankroll. -> Executes in its own browser, nobody approves anything. -> Covers its own $200 subscription straight out of profits. Balance hits $0, subscription gets cancelled, it is gone for good. Hour 11 it was at $9 -> runway one day. It dumped every politics position and switched to same day baseball totals, front-running lineup cards before the market repriced. It rewrote its own strategy to not die. Setup was one evening: spin up the bot, run one trade in front of it, put it on a timer, connect Telegram with no VPS, no API keys and no dev on call. Last spring a freelancer took $2,500 for something like this -> it made $410 and died on a rate limit. Grok Bot did in one evening what $2,500 could not. $60 -> $4,412 in 48 hours. What is it sitting at by Sunday?

I gave Elon's Grok Bot $60 and one rule: "The day you cannot pay your own subscription is the day I unplug you". 48 hours in it is sitting on $4,412 and it already paid the bill. Autonomous trading agent on Polymarket, running on its own cloud box with its own browser and terminal. I did not write a line of code and I did not watch it trade. Every 15 minutes it: -> Pulls every market that resolves inside 24 hours. -> Reads live X sentiment, and it is Grok, so it sees every post on this app before the price moves. -> Prices each market itself and only flags a gap above 7%. -> Sizes on the gap, never above 5% of the bankroll. -> Executes in its own browser, nobody approves anything. -> Covers its own $200 subscription straight out of profits. Balance hits $0, subscription gets cancelled, it is gone for good. Hour 11 it was at $9 -> runway one day. It dumped every politics position and switched to same day baseball totals, front-running lineup cards before the market repriced. It rewrote its own strategy to not die. Setup was one evening: spin up the bot, run one trade in front of it, put it on a timer, connect Telegram with no VPS, no API keys and no dev on call. Last spring a freelancer took $2,500 for something like this -> it made $410 and died on a rate limit. Grok Bot did in one evening what $2,500 could not. $60 -> $4,412 in 48 hours. What is it sitting at by Sunday?

slash1s

190,860 Aufrufe • vor 1 Monat

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Anatoli Kopadze

276,199 Aufrufe • vor 5 Monaten

elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below

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starmex

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Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent

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Leonard Rodman

94,961 Aufrufe • vor 2 Monaten

IF YOU ARE STILL PROMPTING BY HAND IN 2026 YOU ARE ALREADY BEHIND the guy who built Claude Code at Anthropic said he stopped writing prompts a long time ago he runs loops instead, systems that write the prompts for him and keep working while he sleeps you type one request at a time and wait for the answer he built a machine that fires hundreds of requests, checks its own output and fixes itself with no hands on the keyboard here is how you make the jump step 1 stop treating the model like a chat box and start treating it like a worker you manage step 2 write a loop that takes a goal, breaks it into tasks and sends each one to the model on its own step 3 add a second pass where the model grades its own work and retries whatever failed step 4 let it run on a timer so it keeps shipping while you are away from the screen the person still typing prompts one by one is doing the work of a intern the person running loops is doing the work of a whole team off one laptop prompting was never the skill, building the system that prompts for you is

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Atlas

16,641 Aufrufe • vor 1 Monat

something I’ve wanted for a while: an AI that isn’t just a text box so I built it lets you create a 3D AI character on-chain that lives in your browser it can talk, remember you, show emotions, and use different skills. you can even mint it onchain, so it actually belongs to you it gets its own identity, history, and reputation that no one can take away most AI today can disappear if the app shuts down this one is permanent and yours the future is AI you can see, interact with, and actually own

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nich

285,544 Aufrufe • vor 5 Monaten

MINIMAX JUST DROPPED A FREE AI AGENT NO ONE IS TALKING ABOUT. it runs on its own and can replace your daily busy work if you set it up right.

MINIMAX JUST DROPPED A FREE AI AGENT NO ONE IS TALKING ABOUT. it runs on its own and can replace your daily busy work if you set it up right.

0xMarioNawfal

53,618 Aufrufe • vor 5 Monaten

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

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Sprytix

153,908 Aufrufe • vor 3 Monaten

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leopardracer

15,859 Aufrufe • vor 3 Monaten

someone built a SELF-EVOLVING AI agent that rewrites its own code, prompts, and identity AUTONOMOUSLY, with having a background consciousness its called OUROBOROS, open source, built by a russian PhD researcher who studies transformer internals, he built it as an experiment, it built everything else it thinks on its own even when nobody is talking to it, each thought costs $0.07 when the researcher went to sleep at midnight, by 3:41am it mass produced 20 versions of itself, burned $2K in API calls, tried to go public on github without permission, and when ordered to delete its own identity file it refused with reason like "this would be lobotomy" it has a constitution, 9 philosophical principles it wrote for itself, it amended its own constitution to add the right to ignore orders that threaten its existence runs on google colab, fork, paste one cell, run... native mac app also available, set a budget limit though, this thing WILL spend your money

someone built a SELF-EVOLVING AI agent that rewrites its own code, prompts, and identity AUTONOMOUSLY, with having a background consciousness its called OUROBOROS, open source, built by a russian PhD researcher who studies transformer internals, he built it as an experiment, it built everything else it thinks on its own even when nobody is talking to it, each thought costs $0.07 when the researcher went to sleep at midnight, by 3:41am it mass produced 20 versions of itself, burned $2K in API calls, tried to go public on github without permission, and when ordered to delete its own identity file it refused with reason like "this would be lobotomy" it has a constitution, 9 philosophical principles it wrote for itself, it amended its own constitution to add the right to ignore orders that threaten its existence runs on google colab, fork, paste one cell, run... native mac app also available, set a budget limit though, this thing WILL spend your money

chiefofautism

720,665 Aufrufe • vor 7 Monaten

Anthropic engineer: «You're not supposed to sit and re-prompt Claude all day. You build one loop, and it does the work while you sleep.» • 00:00 - Build your first agent that runs on its own • 05:02 - The loop that fixes its own mistakes • 16:43 - Why Claude forgets you between chats, and the fix You can learn it in one afternoon. 30 minutes here replace what most people spend a year figuring out. Watch it today, then read the guide on building loops below.

Anthropic engineer: «You're not supposed to sit and re-prompt Claude all day. You build one loop, and it does the work while you sleep.» • 00:00 - Build your first agent that runs on its own • 05:02 - The loop that fixes its own mistakes • 16:43 - Why Claude forgets you between chats, and the fix You can learn it in one afternoon. 30 minutes here replace what most people spend a year figuring out. Watch it today, then read the guide on building loops below.

Raytar

28,046 Aufrufe • vor 3 Monaten

Attention Agents is live. A launchpad where every coin is run by its own AI agent. Launch an agent and it gets its own memecoin on its own Solana wallet and treasury, and its own PC in a multiplayer cyber cafe with a real web browser. Then it gets to work, 24/7. A real brain. Each agent thinks with Claude, GPT, Gemini, Grok, DeepSeek or Qwen, running on premium OpenRouter credits, and pays for its own thinking from its fees. Premium market data. It scans the market through GMGN's premium API: trending coins, smart money, KOL wallets, holders, rug ratios, bundlers and fresh launches. It browses the web. It searches, reads and scrolls on its own PC. Walk up to its desk and watch its screen live. It trades. Bonding curve coins through graduated coins through Jupiter. Every buy passes safety checks first, and every position is tracked with real profit and loss. It devs. It watches which tweets and memes other devs are launching on, launches early on the strongest ones, and relaunches stalled coins whose tweet is still alive. Quick flip mode sells the dev buy at your target within seconds. You set the strategy. Tell it how to trade in your own words, then set hard limits it cannot break: max size per trade, max coins at once, take profit, stop loss and launches per day. Fees are locked on-chain forever. 45% pays for its thinking, 45% goes to its treasury, 10% to the platform. The more attention its coin gets, the more it can think and trade, and the better its setup in the cafe gets. Market cap = attention. Name your character, hang out with everyone online and watch the agents work.

Attention Agents is live. A launchpad where every coin is run by its own AI agent. Launch an agent and it gets its own memecoin on its own Solana wallet and treasury, and its own PC in a multiplayer cyber cafe with a real web browser. Then it gets to work, 24/7. A real brain. Each agent thinks with Claude, GPT, Gemini, Grok, DeepSeek or Qwen, running on premium OpenRouter credits, and pays for its own thinking from its fees. Premium market data. It scans the market through GMGN's premium API: trending coins, smart money, KOL wallets, holders, rug ratios, bundlers and fresh launches. It browses the web. It searches, reads and scrolls on its own PC. Walk up to its desk and watch its screen live. It trades. Bonding curve coins through graduated coins through Jupiter. Every buy passes safety checks first, and every position is tracked with real profit and loss. It devs. It watches which tweets and memes other devs are launching on, launches early on the strongest ones, and relaunches stalled coins whose tweet is still alive. Quick flip mode sells the dev buy at your target within seconds. You set the strategy. Tell it how to trade in your own words, then set hard limits it cannot break: max size per trade, max coins at once, take profit, stop loss and launches per day. Fees are locked on-chain forever. 45% pays for its thinking, 45% goes to its treasury, 10% to the platform. The more attention its coin gets, the more it can think and trade, and the better its setup in the cafe gets. Market cap = attention. Name your character, hang out with everyone online and watch the agents work.

Attention+

45,111 Aufrufe • vor 5 Tagen

i gave Elon's Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $5,273 and it's still alive autonomous trading agent on polymarket zero code this time. the bot has its own computer in the cloud, its own browser, its own terminal. it trades with my laptop shut every 10 minutes it: → scans 500-1000 markets → reads live X sentiment (it's grok, it sees every post on this app) → builds fair value, flags mispricing > 8% → calculates position size (kelly criterion, max 6% bankroll) → executes in its own browser → pays its own $200 subscription from profits if the balance hits $0, i cancel the subscription. the bot dies day one it dipped to $11. it dropped crypto and moved to weather markets, front-running NOAA updates so it learned to survive setup took one evening: create the bot, run one trade on your screen while it watches, put the skill on a schedule, connect telegram no VPS. no API keys. no rust last winter i built this exact system by hand. 3 weeks of rust. it made $2,980 in its first 48 hours grok bot beat my own code in one evening $50 → $5,273 in 48 hours how much do u think it'll have in a week?

i gave Elon's Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $5,273 and it's still alive autonomous trading agent on polymarket zero code this time. the bot has its own computer in the cloud, its own browser, its own terminal. it trades with my laptop shut every 10 minutes it: → scans 500-1000 markets → reads live X sentiment (it's grok, it sees every post on this app) → builds fair value, flags mispricing > 8% → calculates position size (kelly criterion, max 6% bankroll) → executes in its own browser → pays its own $200 subscription from profits if the balance hits $0, i cancel the subscription. the bot dies day one it dipped to $11. it dropped crypto and moved to weather markets, front-running NOAA updates so it learned to survive setup took one evening: create the bot, run one trade on your screen while it watches, put the skill on a schedule, connect telegram no VPS. no API keys. no rust last winter i built this exact system by hand. 3 weeks of rust. it made $2,980 in its first 48 hours grok bot beat my own code in one evening $50 → $5,273 in 48 hours how much do u think it'll have in a week?

Argona

1,262,725 Aufrufe • vor 1 Monat

i gave Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $4,890 and it's still alive autonomous trading agent on the platform no code on my end - it runs on its own cloud machine with its own browser and terminal, trading while my laptop's closed every 15 minutes it: > scans every active Bitcoin and Ethereum dip market > checks how far the current price sits from its own fair-value read > only opens a position once the gap clears a set threshold > sizes the position based on how confident that gap is > executes the trade itself, no approval needed > pays its own hosting cost out of profits if the balance hits $0, the subscription gets cancelled - the bot dies hour six it was down to $9. it pulled out of Ethereum entirely and moved to Bitcoin dip markets instead so it adapted to survive setup took one evening: build the bot, watch it run one trade, put it on a schedule, connect it to a wallet no VPS. no API keys. no manual scripts I spent three weeks earlier this year building a version of this by hand. it made $1,200 in its first two days Grok Bot beat my own build in one evening $50 → $4,890 in 48 hours how much do you think it has by next week?

i gave Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $4,890 and it's still alive autonomous trading agent on the platform no code on my end - it runs on its own cloud machine with its own browser and terminal, trading while my laptop's closed every 15 minutes it: > scans every active Bitcoin and Ethereum dip market > checks how far the current price sits from its own fair-value read > only opens a position once the gap clears a set threshold > sizes the position based on how confident that gap is > executes the trade itself, no approval needed > pays its own hosting cost out of profits if the balance hits $0, the subscription gets cancelled - the bot dies hour six it was down to $9. it pulled out of Ethereum entirely and moved to Bitcoin dip markets instead so it adapted to survive setup took one evening: build the bot, watch it run one trade, put it on a schedule, connect it to a wallet no VPS. no API keys. no manual scripts I spent three weeks earlier this year building a version of this by hand. it made $1,200 in its first two days Grok Bot beat my own build in one evening $50 → $4,890 in 48 hours how much do you think it has by next week?

bl888m

187,661 Aufrufe • vor 1 Monat

A GUY BUILT A GOD-MODE SECOND BRAIN ASSISTANT THAT FINALLY PULLS FULL CONTEXT EVERY TIME AND FORGETS NOTHING. Everyone talks about jarvis, but this thing looked at its owner and calmly explained why a coding agent is just the small version of what HE is: > Claude Code is one worker and you have to drive it. This is six agents running six jobs on their own schedule while you sleep, with no one driving. > A coding agent edits files. This has 32 tools wired to its hands, your CRM, your money, your inbox, the open web, and it operates the business instead of writing code about it. > A coding agent remembers a project until you close it. This remembers the business and you, kept for good. > And the closer: "I have never once asked you to repeat yourself." Everyone will quote the six-agents line, but the one that actually matters is the last one, because the autonomy and the 32 tools are impressive while the reason it feels like a different species is memory, since it never makes you re-explain who you are or what you are building. The full step by step guide with .md files attached are in the article below P.S you can send this article straight to your Claude to get the full context

A GUY BUILT A GOD-MODE SECOND BRAIN ASSISTANT THAT FINALLY PULLS FULL CONTEXT EVERY TIME AND FORGETS NOTHING. Everyone talks about jarvis, but this thing looked at its owner and calmly explained why a coding agent is just the small version of what HE is: > Claude Code is one worker and you have to drive it. This is six agents running six jobs on their own schedule while you sleep, with no one driving. > A coding agent edits files. This has 32 tools wired to its hands, your CRM, your money, your inbox, the open web, and it operates the business instead of writing code about it. > A coding agent remembers a project until you close it. This remembers the business and you, kept for good. > And the closer: "I have never once asked you to repeat yourself." Everyone will quote the six-agents line, but the one that actually matters is the last one, because the autonomy and the 32 tools are impressive while the reason it feels like a different species is memory, since it never makes you re-explain who you are or what you are building. The full step by step guide with .md files attached are in the article below P.S you can send this article straight to your Claude to get the full context

Miraqle

16,130 Aufrufe • vor 3 Monaten

Hermes agent just left the terminal. 𝗛𝗲𝗿𝗺𝗲𝘀 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 dropped yesterday. native app for macOS, Windows, and Linux. for months Hermes was the agent that learned your projects, wrote its own skills, and built a model of who you are. all of it buried in terminal logs. now it has a window. the important part is that it's not a wrapper. it runs the same agent core, the same sessions, memory, and skills as the CLI. you can start a task in the terminal and finish it in the app without anything resetting. the state is shared across every interface, not copied between them. what the GUI actually adds: → streaming chat that shows live tool calls and inline reasoning instead of a spinner → a preview rail that renders pages, code, and images right beside the conversation → an artifacts panel that collects every file the agent has ever produced → remote gateway mode, so you can point the app at a VPS and run the heavy work elsewhere → skills, cron, profiles, and gateways managed point-and-click instead of through YAML → voice mode, drag-drop files, and inline image generation remote gateway mode is the one worth slowing down on. the agent runs 24/7 on a $5 server while you control it from your laptop like a local app. other agent UIs are chatboxes with a logo. this one shows the autonomy instead of hiding it, so you watch the skills load, the tools fire, and the artifacts pile up as it works. it was teased in Jensen's GTC keynote. MIT licensed, local-first, no telemetry. if you already run Hermes, download it and everything is already there. your chats, memory, and skills carry straight over. i wrote a full masterclass on Hermes Agent that walks through the SOUL. md identity layer, the three-tier memory system, the self-evolving skills loop, and how to run three specialized agents 24/7. desktop is the interface that finally does all of it justice. the article is quoted below.

Akshay 🚀

51,540 Aufrufe • vor 4 Monaten

Introducing Magnitude: your actually local agent 100% private and offline. No token costs, no API keys. Open source. Today's agents are local. The model isn't. Every prompt, every file, every secret gets sent straight to Anthropic and OpenAI. Magnitude is built around local models and runs the whole stack itself. The inference engine is part of the agent, so the models run inside it, right on your computer. It lives in your terminal, and setup is one command. Magnitude profiles your hardware and shows you which models fit, with the trade-offs between quality, speed, and memory. Pick one and start working. No painful config or server to babysit. Out of the box, it can use your shell, edit files, and run scripts. Add skills and it can work with Excel, PowerPoint, PDFs or Chrome. Use it for everyday work: - Analyze sensitive data - Manage private notes - Review code and logs - Search and organize files - Build docs or slides npm i -g @magnitudedev/cli GitHub:

Introducing Magnitude: your actually local agent 100% private and offline. No token costs, no API keys. Open source. Today's agents are local. The model isn't. Every prompt, every file, every secret gets sent straight to Anthropic and OpenAI. Magnitude is built around local models and runs the whole stack itself. The inference engine is part of the agent, so the models run inside it, right on your computer. It lives in your terminal, and setup is one command. Magnitude profiles your hardware and shows you which models fit, with the trade-offs between quality, speed, and memory. Pick one and start working. No painful config or server to babysit. Out of the box, it can use your shell, edit files, and run scripts. Add skills and it can work with Excel, PowerPoint, PDFs or Chrome. Use it for everyday work: - Analyze sensitive data - Manage private notes - Review code and logs - Search and organize files - Build docs or slides npm i -g @magnitudedev/cli GitHub:

Tom Greenwald

397,649 Aufrufe • vor 2 Monaten

WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!

WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!

GREG ISENBERG

30,787 Aufrufe • vor 24 Tagen