Luckily you have a wide choice of models to run in your OpenClaw or Hermes.
LLMS
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Hermes Model Performs Well for Open Source Applications
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It works great on @NousResearch
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Parcae Scaling Laws: Recurrence Approach for Stable Language Models
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"Parcae Scaling Laws For Stable Looped Language Models" LLMs usually scale with more parameters or more data. But this paper scales a new axis for transformers through recurrence. So instead of making the model bigger, it reuses the same Transformer layers multiple times.
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Prefill-as-Service Enables Cross-Datacenter LLM Serving
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new paper from Kimi! "Prefill-as-a-Service makes long-context LLM serving cross-datacenter" Main idea: smaller KV Cache turns prefill into a scalable remote service. Prefill is compute-bound, decode is memory-bandwidth-bound, but KV cache transfer keeps them trapped in the
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AI Agents: LLM Types and Orchestration Strategies
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AI Agents = LLMs + orchestration Here are the main types of LLMs powering them General-purpose (GPT, Claude) Domain-specific (Legal, Finance, etc.) RAG-based (real-time knowledge) Tool-augmented (API actions) Open-source (LLaMA, Mistral) The game is no
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Claude Opus 4.7 versus 4.6 text performance rankings
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Claude Opus 4.7 vs Opus 4.6 text category rankings Source: https://
reddit.com/r/ClaudeAI/com
ments/1so814j/
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Anthropic Releases 33-Page Claude Skills Blueprint Guide
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ANTHROPIC LITERALLY JUST HANDING US THE BLUEPRINT🤯
— Charly Wargnier (@DataChaz) 18 avril 2026
Their new 33-page guide on Claude Skills is the cheat code.
Make sure to bookmark this before it gets lost in your feed.
Link in 🧵↓ https://t.co/dH8Mpu6aam pic.twitter.com/2nI9xiPcdPANTHROPIC LITERALLY JUST HANDING US THE BLUEPRINT Their new 33-page guide on Claude Skills is the cheat code. Make sure to bookmark this before it gets lost in your feed. Link in ↓
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Harnessed LLM Agent Architecture: Intelligence Through Modular Composition
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A harnessed LLM agent.
— Akshay 🚀 (@akshay_pachaar) 18 avril 2026
Most people picture this as a model with tools bolted on. The real architecture inverts that relationship.
The model itself is deliberately thin. Intelligence gets pushed outward, and the harness composes it at runtime.
Three dimensions orbit the harness… https://t.co/MiA6mrH64m pic.twitter.com/tBUHQn4e3NA harnessed LLM agent. Most people picture this as a model with tools bolted on. The real architecture inverts that relationship. The model itself is deliberately thin. Intelligence gets pushed outward, and the harness composes it at runtime. Three dimensions orbit the harness
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Guide to Common AI Terms: LLMs and Hallucinations Explained
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From LLMs to hallucinations, here’s a simple guide to common #AI terms
by @riptari @techcrunch Learn more: https://
bit.ly/4vukgg0 #GenerativeAI #ArtificialIntelligence #MachineLearning #ML