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🚨BREAKING: Google just launched CodeWiki, and it might be the biggest upgrade GitHub has had in years.
You paste your GitHub repo in, and it turns your entire project into an interactive guide.
It also generates diagrams, explanations, walkthroughs, everything you could ever want, and even a chatbot that knows the code better than anyone else.

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🚨 A massive 5-hour AI masterclass just surfaced, covering nearly every major workflow people are using right now.
From ElevenLabs to Fal AI, it walks through tools, use cases, and setups step by step.
The kind of knowledge people usually spend thousands chasing is packed into one free breakdown.
Watch it once, and you’ll have a clear map of what’s actually possible with AI today.
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"Hermes Agent” bisa mempertahankan memori lintas sesi, lalu membuat dan mengembangkan skill sendiri dari experience ‼️
berikut 10 repo GitHub untuk benar-benar memaksimalkan Hermes Agent kamu :
🔸Hermes Agent main body
Github : github.com/NousResearch/h…
Repository core resmi dari Nous Research. Menggunakan lisensi MIT, jadi bebas digunakan.
🔸Hermes-Wiki
Github : github.com/cclank/Hermes-…
Wiki komunitas yang menjelaskan source code Hermes Agent. Berguna untuk memahami implementasinya.
🔸Hermes Atlas / Hermes Ecosystem
Github : github.com/ksimback/herme…
Peta ekosistem Hermes. Bisa melihat gambaran 100+ tool dan skill, serta mendukung pencarian RAG.
🔸Hermes Control Interface
Github : github.com/xaspx/hermes-c…
Dashboard self-hosted. Bisa mengelola banyak agent, task jangka panjang, dan memori dalam satu tampilan.
🔸Hermes Skill Factory
Github : github.com/Romanescu11/he…
Mereview task yang sudah dikerjakan, lalu otomatis membuat dan menambahkan skill baru. Agent bisa membuat “senjata” atau kemampuannya sendiri.
🔸Maestro
Github : github.com/ReinaMacCredy/…
Tool multi-agent yang berjalan lokal. Bisa menghubungkan Codex, Claude Code, dan Gemini, sambil mengelola memori terstruktur serta handoff antar-agent.
🔸Hermes Agent Camel
Github : github.com/nativ3ai/herme…
Versi fork yang sudah memasukkan trust boundary atau batas keamanan CaMeL. Cocok untuk proteksi saat digunakan di production.
🔸Hermes HUD
Github : github.com/joeynyc/hermes…
Terminal monitoring berbasis Textual/TUI. Bisa memvisualisasikan alur “kesadaran” agent dan kondisi memorinya secara real-time.
🔸Hermes Alpha
Github : github.com/kaminocorp/her…
Template deployment Hermes Agent untuk environment cloud. Sudah termasuk Makefile dan contoh konfigurasi.
🔸Awesome Hermes Agent
Github : github.com/0xNyk/awesome-…
Daftar kurasi komunitas berisi plugin, prompt, dan materi belajar seputar Hermes Agent.
jika kalian pakai hermes agent, bookmark ini.
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POV: claude traveled 6 months into the future and told you exactly how your next move failed.
it's called a premortem.
daniel kahneman (nobel prize-winning psychologist behind "thinking fast and slow") called it his single most valuable decision-making technique.
google, goldman sachs, and procter & gamble all use it before major launches.
here's the problem it solves.
when you ask claude "is this a good plan?" it finds all the reasons to say yes.
that's what it was trained to do. so you walk away feeling confident.
you execute, and spend weeks / months building on top of that plan.
then it blows up.
and you realize the problem was obvious in hindsight, you just never stress-tested it because claude told you it was solid.
a premortem fixes this by flipping the frame.
instead of asking "what could go wrong?" you tell claude "it's 6 months from now and this is already dead. tell me how it died."
that shift turns off claude's optimism because there's nothing to be optimistic about. the premise already says it failed.
so claude stops looking for reasons your plan will work and starts explaining how it fell apart.
claude comes back with every way your plan could die, each one with a full failure story and the early warning signs to watch for.
then a synthesis pulls it all together:
> which failure is most likely
> which failure is most dangerous
> the single biggest hidden assumption you're making (often the most valuable part)
> a revised version of your plan with the gaps closed
you say "premortem this" and give it your plan. the skill handles the rest.

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There's a version of this where one company owns how agents perceive the world. W2A exists so that version doesn't happen. github.com/machinepulse-a…
LeahW@LeahW_2077
The future belongs to proactive agents. But without real-time perception, they're stuck reacting. "World2Agent" isn't a product. It's an open protocol and an invitation — to build the perception layer for AI agents, together. We're open-sourcing everything: the protocol, the SDK, and first sensors. GITHUB + DEMO in comments.
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The CEO of Citadel started with $265K from his grandmother and turned it into over $90 billion
This 46-minute interview explains how he nearly went bankrupt, rebuilt, and became the most profitable hedge fund in history
Bookmark & Watch it. Then read the article below a step-by-step guide to building your own trading algorithm on Polymarket ↓
Movez@0xMovez
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‘Service-as-a-software’ is here...
We moved our entire company brain to GitHub and wired 25+ tools through MCPs.
Any one of our 20+ team members can now spin up a contextualized AI assistant in seconds.
The system has 5 layers:
1. Markdown company OS
↳ SOPs and campaign playbooks converted into .md files using research agents
↳ Most SOPs turned into agents that handle 70% of the task
↳ Output: 50+ actionable Claude skills
2. Context environment
↳ One Company OS GitHub repo propagated to every session via org-wide plugin
↳ Each client gets their own repo with Slack DMs, call transcripts, GDrive changes, and campaign data auto-synced through n8n
↳ Zero configuration needed per session
3. MCPs
↳ 25+ tools connected including InstantlyAI, HeyReach, Apollo, HubSpot, Slack, Notion, n8n, Supabase, Pinecone, Browserbase, Apify
↳ Not just research. Action through AI.
↳ We went from researching work to actually doing it
4. Self-improvement engines
↳ Pinecone database stores 1000s of LinkedIn posts and outbound campaigns with performance metrics
↳ Copywriting skills query this data to find winning formats to reuse
↳ Human corrections get fed back in so the system gets sharper over time
5. Operating principles
↳ Every repo has a safeguard file that prevents certain operations
↳ 100% AI outputs are not acceptable, everyone owns their work and every mistake
↳ Agent swarms split one task into 5-20 sub-agents when needed
Our goal is to become the most advanced AI-native services company for our niche (GTM).

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Xynth can now scan the stock market for you 24/7 !
Simply describe what you want monitored in plain English.
Under the hood, we wire Claude Opus 4.7 + Python to 3,000+ live market endpoints to build your custom alert.
The workflow lives in the cloud, hunting your setup the moment it hits.
As part of this launch, we're giving free access to the top 5 most profitable alerts built so far.
RT + comment "Xynth" below to get access ↓
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