A:\Kenneth\Ree

[dodo-reach 🦤 @DODOREACH]

The safest and easiest way to manage your Hermes Agent on a Mac. Period.

Hermes Desktop v0.6.0 is here.

Bookmarks and read for all host files, a real chat workbench for CLI haters, and full support for the NEW @NousResearch KANBAN orchestration

Best part? Still SSH-only. 👇

[vmiss @vmiss33]

https://t.co/Osab1Oa3QX

[GitHub Projects Community @GithubProjects]

An open-source alternative to Screen Studio.

[Rahul @sairahul1]

Two Anthropic engineers spent 24 minutes exposing every Claude Code feature you didn't know existed.

Most people will scroll past this. Don't be most people.

[GitHub Projects Community @GithubProjects]

Awesome Agent Skills: The Largest Curated Library of AI Agent Skills.

[GitHub Projects Community @GithubProjects]

OpenClaw showed agents can act.
Hermes showed they can remember.

Mercury solves the next problem:

An agent that stays.

Always there when needed.
Memory that compounds.
Identity you own.
Permissioned execution.
Presence that persists.

Soul-driven. Token-efficient. Always on.

[Khairallah AL-Awady @eng_khairallah1]

🚨 INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Obsidian + Claude Code = 24/7 personal operating system.

Works while you sleep.

The people who build this tonight will never work the same way again.

Watch it and Bookmark it now.

[AlphaSignal @AlphaSignalAI]

https://t.co/d3xED0j6di

[Rimsha Bhardwaj @heyrimsha]

RIP Perplexity Pro.

This open-source agent does deeper research, audits papers against code, replicates experiments on real GPUs, and outputs source-grounded briefs with live citation URLs.

For free.

It's called Feynman. Here's what makes it different:

Most "AI research" tools summarize web pages.

Feynman runs four agents in parallel: one gathers evidence across papers and repos, one simulates peer review, one drafts from findings, one verifies every citation and kills dead links.

The wildest command: `feynman replicate "chain-of-thought improves math"` and it actually runs the experiment on your local or cloud GPU.

Not a summary. The actual experiment.

One install:
curl -fsSL https:// feynman .is/install | bash

100% Open Source. MIT License.

Repo: https://t.co/DmxG9COlBI

[self.dll @seelffff]

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools

1. andrej-karpathy-skills → replaces paid Claude Code courses
   one CLAUDE.md file from Karpathy's LLM coding observations
   48,965 stars. 7,939 stars TODAY
https://t.co/xjnhzKjQAo

2. claude-mem → replaces paid context/memory tools
   auto-captures everything Claude does across sessions
   compresses with AI and injects into future sessions
   59,373 stars. 1,907 stars today
https://t.co/dZPWBSfRz0

3. voicebox → replaces ElevenLabs ($22/mo)
   open-source voice synthesis studio
   18,963 stars. 887 stars today
https://t.co/TEOE9CNU3l

4. open-agents → replaces paid agent platforms ($200/mo)
   open-source template for building cloud agents. by Vercel
   3,105 stars. 735 stars today
https://t.co/2jj3Tzami0

5. cognee → replaces paid knowledge bases ($50/mo)
   AI agent memory engine in 6 lines of code
   15,733 stars
https://t.co/FHetFdNKfw

6. magika → replaces paid file detection tools
   AI file content type detection. by Google
   14,603 stars
https://t.co/9Bse8nSiLu

7. GenericAgent → replaces paid agent infra ($100/mo)
   self-evolving agent. grows skill tree from 3.3K-line seed
   6x less token consumption than standard agents
   2,661 stars. 883 stars today
https://t.co/3KnpT3mqAg

8. omi → replaces Rewind AI ($25/mo)
   AI that sees your screen + listens to conversations
   tells you what to do next
   8,952 stars. 488 stars today
https://t.co/EBzpS20o0i

9. evolver → replaces manual agent optimization
   self-evolution engine for AI agents
   genome evolution protocol
   3,074 stars. 866 stars today
https://t.co/v1JhJT0r44

10. wallet tracking + copy trading → Kreo
    tracks top Polymarket wallets. auto copies trades
    the only tool on this list i actually pay for
    because it makes more than it costs
    → https://t.co/rVKQ1081rt

total before: ~$1,500/month in AI subscriptions
total now: $0 + Kreo

like + bookmark you'll need this

[elvis @omarsar0]

I just built my own wiki generator plugin for my agents.

My agents can now generate wikis for anything I ask.

One of my favorite wikis is called PaperWiki.

This is a great example of what @karpathy describes.

It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration.

When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need.

The papers are all curated with automations and several rules/patterns I have manually built over the years.

On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research.

I use @tobi's qmd for all search capabilities.

Everything is markdown. The summaries and even the diagrams.

The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases.

This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time.

This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity.

I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier.

Stay tuned for more.

[Akshay 🚀 @akshay_pachaar]

Another blow to Anthropic!

Devs built a free and better Claude Cowork alternative:

- 100% local
- voice-enabled
- works with any LLM
- MCP tool extensibility
- obsidian-compatible vault
- background agents & web search
- automatic knowledge graph creation

100% open-source.

[Jiayuan (JY) Zhang @jiayuan_jy]

We created the open source version of Claude Managed Agents.

Introducing Multica

https://t.co/mLCPJe965E

[Miles Deutscher @milesdeutscher]

Claude Code + Obsidian is the most powerful AI combo I've ever used.

I literally built an AI second brain that runs my entire life.

Inspired by Andrej Karpathy's LLM Knowledge Wiki, this tool has been a complete game-changer.

Here's EXACTLY how to build one for yourself:

[Jiayuan (JY) Zhang @jiayuan_jy]

@claudeai We created the open source version of Claude Managed Agents.

https://t.co/mLCPJe965E

[Mimu | AI Tools & News @mimu_ai1]

JOB INTERVIEW:
“Why are you leaving your current role?”

Most candidates say:
“Looking for growth & better company.”

Hiring managers have heard it 1,000 times.

HERE'S WHAT ACTUALLY WINNING ANSWER:

[Kirk Borne @KirkDBorne]

Introduction to Markov Chain Monte Carlo (MCMC) Methods: https://t.co/LCF55M0REu
➕
Detailed example (with code) of MCMC Simulation: https://t.co/TmxmqBhL1U
➕
A book: https://t.co/lBOT21rpJU
➕
See the thread below by @selcukorkmaz
⬇️ ⬇️ ⬇️

[Elon Musk @elonmusk]

Vampire Survivors 😬

[A:\Kenneth\Ree @KennethRee_]

@nprepalas @fbdaounou Οι γραφικότητες που λέει ο κάθε Αμβρόσιος είναι ακριβώς αυτό. Γραφικότητες. Δεν είναι ούτε νόμος του κράτους, ούτε θα σε πετάξει κανένας από καμιά ταράτσα αν δεν τα ακολουθήσεις. Μη συγκρίνουμε ανόμοια πράγματα. Η Δύση τα έχει αφήσει πίσω της αυτά εδώ και αιώνες.