The /goal Cheat Sheet for Hermes Agent Codex Builds, Claude Code Reviews and Hermes Agent Orchestrates.
LLMS
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How Prompt Styles Affect AI Output
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Better prompts = better AI outputs • Structured → precision
• Analytical → accuracy
• Conversational → creativity
• Planning → execution The model doesn’t change. Your prompting style does. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -
Optimizing AI Agent Costs through Intelligent Orchestration
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THE BIGGEST ROADBLOCK TO SCALING AI AGENTS IS NOT INTELLIGENCE, IT IS TOKEN COST If your agent uses a premium reasoning model to answer a basic greeting, you are burning money. @OpenSquilla is an open-source orchestrator that fixes this, delivering a documented 60-80% in
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Moving beyond LLMs toward world models in AI research
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Truly an all-star cast, on one of the most important questions in AI. Thrilled to see some many people finally willing to confront the hard questions of how we can move beyond LLMs, and into what world models are really about.
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Comparing AI Agents for Automated GitHub Scraping and Dashboard Creation
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Hermes vs OpenClaw on a local Qwen 35B is MINDBLOWING! 🤯@atomicbot_ai asked both to scrape GitHub s⭐, find growth spikes, and build a live dashboard.
— Charly Wargnier (@DataChaz) 16 mai 2026
> @OpenClaw nailed it in 12m by fixing broken HTML.
> Hermes took 33m, pivoting to DuckDuckGo when rate-limited.
Epic run ↓ https://t.co/paSuC88fPPHermes vs OpenClaw on a local Qwen 35B is MINDBLOWING! @atomicbot_ai asked both to scrape GitHub s, find growth spikes, and build a live dashboard. > @OpenClaw nailed it in 12m by fixing broken HTML.
> Hermes took 33m, pivoting to DuckDuckGo when rate-limited. Epic run ↓ -
Agentmemory: infinite memory for code assistants (free)
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Ahora puedes darle memoria infinita a Claude Code, Codex y Hermes.
— Nico (@nicos_ai) 16 mai 2026
100% gratis.
Agentmemory ya es tendencia en GitHub con +4.000 estrellas.
La herramienta:
→ guarda todo lo que Claude/Codex hace durante tus sesiones de programación
→ lo comprime con IA
→ recupera… pic.twitter.com/HA83TGagjrNow you can give infinite memory to Claude Code, Codex, and Hermes. 100% free. Agentmemory is already trending on GitHub with +4,000 stars. The tool:
→ saves everything Claude/Codex does during your programming sessions
→ compresses it with AI
→ automatically retrieves the -
Causal Emergence Alignment Hypothesis in Reinforcement Learning Agents
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The Causally Emergent Alignment Hypothesis: Causal Emergence Aligns with and Predicts Final Reward in Reinforcement Learning Agents Federico Pigozzi, Michael Levin: https://
arxiv.org/abs/2605.06746 #AIAgents #ReinforcementLearning -
Anthropic training: building Claude agents from A to Z
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Anthropic a publié une Formation complet de 2 HEURES sur la construction d'agents Claude.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 16 mai 2026
Animé par l'ingénieur qui construit Claude Code.
Gardez-la précieusement en Signet🔖
de A à Z : Structurer un agent qui se gère sans supervision. Lui donner accès au terminal pour… pic.twitter.com/3kAKAgkz79Anthropic a publié une Formation complet de 2 HEURES sur la construction d'agents Claude. Animé par l'ingénieur qui construit Claude Code. Gardez-la précieusement en Signet de A à Z : Structurer un agent qui se gère sans supervision. Lui donner accès au terminal pour
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Token Efficiency Analysis of AI-Generated HTML Artifacts
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Anthropic is pushing HTML artifacts as the future of AI workflows. What they're not telling you: a markdown report costs ~800 tokens. The same content in styled HTML costs 2,500-4,000. That's 3-5x more tokens burned on divs and CSS instead of reasoning and depth. More tokens