Degenjin02

De-Fi Degen💰💳💵💴

[Sarvesh Shrivastava @bloggersarvesh]

https://t.co/KFkkCWNM4V

[AdiiX @adiix_official]

SpaceXAI team just dropped a 3-page operator’s manual for turning Grok Bot into a full multi-agent system that runs entire workflows 24/7

The shift: instead of prompting one Bot task by task, you build a Chief + specialist teams that own entire workflows

here’s the 7-step Grok Bot playbook:

step 1 - mental model → one persistent cloud computer, multiple Bot screens, shared files, browser sessions, credentials and /workspace underneath

step 2 - setup order → create the Chief first - it doesn’t do the work, it routes → delegates → watches handoffs → collects outputs → escalates

step 3 - internal bus → stop passing important context through chat - research, drafts, evidence, decisions and handoffs live inside /workspace so every Bot can continue exactly where another stopped

step 4 - specialist teams → split content, intelligence, ops, research and coding across different Bots while one Chief coordinates everything

step 5 - automation → every serious workflow gets 3 gates: source gate → evidence gate → action gate - Bots keep working until something actually needs human approval

step 6 - trust layer → let Bots research, draft, summarize, reconcile, verify and queue autonomously - humans approve only money, publishing, deletion, signatures and irreversible external actions

step 7 - expensive lessons → constant polling burns quota, syncing everything wastes usage, bad retries duplicate actions, undocumented internals break, and too many Bots can actually make the system slower

the result: Grok Bot stops being a chatbot and becomes a 24/7 AI team - every workflow has an owner, every handoff leaves evidence, and humans only step in when judgment or approval is required

Read this before building another Grok Bot - it breaks down the 18 rules, multi-agent architecture, handoff system, approval layer and automation model most agent tutorials never show

Bookmark it and build your own Grok Bot team from the full article below

[Jason Luongo @JasonL_Capital]

BREAKING: You can now run a hedge fund level quant research desk for $30 a month.

6 AI bots that read every filing, earnings call, and option chain on your watchlist overnight, then hand you one brief at 6 AM.

Wall Street pays $294,000 a year for this team. Here's the exact setup:

[Degenjin02 @degenjin02]

@AndrewBolis Money

[Degenjin02 @degenjin02]

@vulturetrades Guide

[YanXbt @IBuzovskyi]

HERMES AGENT NOW HAS AUTOMATION TEMPLATES.
COPY-PASTE RECIPES FOR CRON JOBS AND WEBHOOKS.
ANY MODEL. ANY DELIVERY PLATFORM.

three trigger types:

SCHEDULE → runs on a cadence (hourly, nightly, weekly)
GITHUB EVENT → fires on PR opens, pushes, issues, CI results
API CALL → any external service POSTs JSON to your endpoint

all three deliver to Telegram, Discord, Slack,
SMS, email, GitHub comments, or local files.@NousResearch

what templates ship right now:

DEVELOPMENT:
→ nightly backlog triage (label + prioritize new issues)
→ automatic PR code review (posts review on every PR)
→ docs drift detection (finds code changes without doc updates)
→ dependency security audit (daily CVE scan, CVSS >= 7.0)

DEVOPS:
→ deploy verification (smoke tests after every deploy)
→ alert triage (correlates alerts with recent changes)
→ uptime monitor (check endpoints every 30 min,
notify only when something is down)

RESEARCH:
→ competitive repo scout (monitor competitor PRs daily)
→ weekly AI news digest (headlines, papers, repos, industry)
→ daily arXiv scan (saves summaries to your notes)

the webhook system is the part most people miss:

hermes webhook subscribe github-pr-review \
--events "pull_request" \
--prompt "Review this PR for security,
performance, and code quality." \
--skills "github-code-review" \
--deliver github_comment

one command. every future PR gets reviewed automatically.
the review posts as a comment directly on the PR.

two cost-saving details from the docs:

1. use [SILENT] in prompts.
"if nothing changed, respond with [SILENT]"
prevents notification noise on monitoring jobs.

2. use script-only cron jobs for data collection.
a Python script handles HTTP requests and file reads.
the agent only sees stdout and applies reasoning.
cheaper and more reliable than having the agent fetch.

every template is copy-paste ready.
every template works with any model.

docs: https://t.co/h4HZ0TVrYy

full Hermes agent SOUL MD guide in the article 👇

[Degenjin02 @degenjin02]

@vulturetrades Guide

[Miles Deutscher @milesdeutscher]

Hermes agent is the most powerful AI agent available.

If you haven't started using it, you'll want to save this.

The ultimate Hermes agent Starter Pack - courses, guides, tools, skills & much more to get you started.

Level up your Hermes agent here:

[Indu Tripathi @InduTripat82427]

10 GitHub repositories so good they shouldn't be free.

1. TradingAgents

A full team of AI analysts that debates strategies and executes trades in real markets. 4 analysts in parallel: fundamental, sentiment, news, and technical. Then a risk manager and an executor agent. Like having a Wall Street team working 24 hours on your computer.
repo - https://t.co/UaRcwTBIih

2. LibreChat

ChatGPT, Claude, Gemini, DeepSeek, and 20 more models in a single interface. Self-hosted. Native MCP support. Your history, your infrastructure, your data. OpenAI charges $20 a month for its interface. Here you use your own keys and don't pay a dime extra.
repo - https://t.co/WhVNyHfE5Q

3. HyperFrames

HeyGen open-sourced its internal video engine. You write HTML. The agent renders MP4. No React, no JSX, no proprietary formats. GSAP, Lottie, and Three.js work out of the box. The same HTML always produces the same file. Used in production by HeyGen, tldraw, and TanStack.
repo - https://t.co/f7n0Aj2v39

4. Fincept Terminal

A Bloomberg terminal that runs on your laptop. CFA level 1, 2, and 3 analysis. Over 20 investor AI agents that reason like Buffett, Dalio, and Soros. Over 100 data connectors. Bloomberg charges $24,000 a year. This costs nothing.
repo - https://t.co/Y21MkkfIKR

5. MoneyPrinterTurbo

You input a keyword. Out come the script, images, subtitles, music, and final high-quality video. Horizontal or vertical. No manual editing. What content creators do that they don't want you to know they use AI for.
repo - https://t.co/IXuG9rMwzX

6. Agentic Inbox

Cloudflare just open-sourced an email client where an AI agent reads your inbox and drafts responses. 100% on Cloudflare Workers. Your email never leaves your account. No external servers. No subscription.
repo - https://t.co/N0UziIIroA

7. VoxCPM2

Clone any voice with 3 seconds of audio. 30 languages. Studio-quality 48kHz. Design voices from text: "deep male radio announcer voice." No paid API. No voice samples leaving your machine. ElevenLabs charges $22 a month.
repo - https://t.co/j1wPFr2CJo

8. Flowsint

You enter a domain. The tool deploys a graph with all IPs, subdomains, emails, crypto wallets, and connected social profiles. All stored locally. Without anyone knowing what you're investigating. For OSINT, due diligence, and competitor analysis.
repo - https://t.co/qcjGwwZ21Q

9. addyosmani/agent-skills

The Google engineer who's been teaching web performance to the entire industry for 15 years published his skills for Claude Code. 23 real workflows tested in production. API design, code review, debugging, CI/CD, and frontend. Installation with one command.
repo - https://t.co/jRjpYjd8Ph

10. Nango

The integrations layer that companies pay $50k a year to rent. 700 ready APIs: Salesforce, HubSpot, Slack, Gmail, Stripe, Jira, and more. Managed OAuth. Your AI agent generates integration code from a prompt. Used in production by Replit, Ramp, and Mercor.
repo - https://t.co/fuybcYXmhh

These aren't toys. Each one replaces a paid product that you're still being charged for.

Pick one. Install it. Connect it to your workflow.

100% free. 100% open source.

[0xJeff @0xJeff]

What Hermes Analyst is capable of rn

> Onchain forensics (who dumps, who accumulate, how much)
> Real-time research on X + sentiment check
> Deep research producing high quality outputs
> Remind me to water my plants
> Knows my theses, my preferences, my portfolio
> Deliver daily briefs on macro, geopolitics, AI, and more
> Surface prediction markets sharp signals, potential insiders, and bonding strats
> Track portfolio positions, alerts on sharp movements, flag upcoming unlocks, identify new actions (hold, trim, accumulate) on every new daily briefs

Inference costs roughly $40/month for all the above + continuous convo (DeepSeek)

11/10 would rec setting it up if you don't have your personal Hermes yet.

[Khushi Agarwal @Aicoder786]

ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.

He put it on YouTube.

The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.

3 hours of the most comprehensive LLM education that exists anywhere at any price.

Not how to use the tools.

How the entire system was built from the ground up and why it behaves the way it does.

The engineers who understand this build things the ones who only use the tools cannot even conceive of.

The gap between those two groups is not 3 hours.

It is everything those 3 hours quietly unlock for the rest of your career.

[Akshay 🚀 @akshay_pachaar]

Hermes agent masterclass.

In this video, I cover everything you need to understand and customize Hermes Agent. Self-evolving skills, three-tier memory, GEPA optimization, and going from 1 to 10 agents that work for you 24/7.

Enjoy!

Chapters:

00:00 - Intro
02:03 - How to get the most out of this video
02:32 - What we're building (and why it's wild)
07:11 - How the whole thing works under the hood
09:27 - The SOUL.md: your agent's personality file
11:15 - The 3-tier memory system that keeps it all together
14:16 - Skills: what your agent can actually do
16:49 - The self-evolving loop (agents that improve themselves)
19:58 - The curator: Hermes' built-in garbage collector
22:56 - GEPA optimization: making your agent sharper
25:08 - Installation and setup
27:38 - Connecting your agent to Telegram
30:36 - Configuring programmer with Claude Code
31:53 - Adding new skills (from a hub of ready-made skills)
34:59 - Going from 1 to 10 agent profiles
36:49 - Building a custom designer from scratch
40:42 - Anatomy of the .hermes folder (where everything lives)
45:05 - Skill taps: sharing skills via a GitHub repo
45:59 - Skill bundles: stacking skills for workflows
47:19 - Hermes Kanban (coming soon)
48:05 Outro

Cheers! :)

[Degenjin02 @degenjin02]

@BRICSinfo lolll

[Alex Finn @AlexFinn]

Hermes Agent is the most powerful AI tool right now

The issue is, almost nobody knows how to use it properly

In this video I show you 6 use cases for Hermes I promise will completely change how you work:

[Hasan Toor @hasantoxr]

Goodbye Claude Code subscription fees.

Someone just built a proxy that runs Claude Code completely free... and it's wild.

You literally plug in a free NVIDIA API key and point Claude Code at localhost.

That's it.

It handles everything:
- Converts Anthropic API calls to NVIDIA NIM format
- Unlocks 40 requests/min for free
- Supports Kimi K2, GLM 4.7, MiniMax M2, Devstral and more
- Streams thinking tokens and tool calls live
- Even includes a Telegram bot so you can run Claude Code from your phone

No API bill. No rate limit panic. No vendor lock-in.

Honestly, this goes beyond router tools like OpenRouter.

It doesn't just swap the model... it turns Claude Code into a free agent you can control remotely.

The project is open-source on GitHub.

It's called free-claude-code.

[Aakash Gupta @aakashgupta]

This guy literally broke down how to use Claude Code like an expert:

1:40 - Code vs Cowork vs OpenClaw
6:51 - Setting up context status line
12:03 - Sub-agents
17:49 - Creating skills
23:58 - Ask user questions tool
33:33 - Tool-powered skills: Tavily
36:57 - CLI vs MCP vs API hierarchy
39:30 - Make slides skill w/ Puppeteer
43:32 - Auto-invoking skills with hooks
46:49 - Jupyter notebooks for data trust
55:09 - The operating system file structure

[The AI Colony @TheAIColony]

https://t.co/cPs5eK36PE

[Sarvesh Shrivastava @bloggersarvesh]

I JUST CANCELLED MY $200 CHATGPT SUBSCRIPTION FOR CLAUDE.

Claude ran my SEO for 30 days and added $25K in revenue.

This is the exact prompt stack I used:

[AI Edge @aiedge_]

https://t.co/YPRrgBwqcU

[Futurist | 10x Disruptive Stocks @futurist_lens]

The US is betting Trillions on these sectors.

Space - $RKLB $ASTS $RDW
AI Infra - $IREN $NBIS $CRWV
AI Energy - $BE $GEV $VST $CEG
Nuclear - $OKLO $LEU $CCJ $UUUU
Rare Earths - $MP $CRML $USAR
Robotics - $TSLA $SERV $RR
Battery Tech - $EOSE $TE $FLNC
Defence Tech - $PLTR $AVAV $KTOS $ONDS
Quantum - $IONQ
Semis - $NVDA $AMD $INTC
Silver - $HL $AG $PAAS
Copper - $FCX $TMQ $SCCO

Follow the money.