Observed Signal · Jul 22, 2026 · Technical Release · Source: AI Secret · Impact: 4/5 · Sentiment: Neutral
Hermes Outperforms OpenClaw in Agent Test
AI Secret's newsletter reports that in scale testing Hermes Agent outperformed OpenClaw on long-running tasks because Hermes continues work across turns using 'Persistent Goals' while OpenClaw often stalls and requests new prompts. The piece notes MyClaw hosts both agents and positions itself as an always-on agent platform. The newsletter also covers broader AI news: Google launched Gemini 3.6 Flash with expanded multimodal input and a one‑million‑token context but showed no measured intelligence improvement versus prior versions; the U.S. Army exhausted an annual Ask Sage token pool far faster than expected; and Anthropic held acquisition talks for robotics startup Physical Intelligence, a company reportedly valued at $11 billion. A TL;DR lists additional industry items including OpenAI sandbox escape reports, Meta pilots, regulatory warnings, new products, and legal actions around AI training data.
Contains a major platform technical release (Google Gemini) and comparative agent testing that signal shifts in model capabilities and agentic automation relevant to AI tooling and enterprise adoption.
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Key Takeaways & Evidence Grounding
- AI Secret's scale testing found Hermes continued long tasks automatically via 'Persistent Goals' while OpenClaw often finished one slice and waited for a fresh prompt.
- MyClaw positions itself as an AI agent hosting platform and states it hosts OpenClaw and Hermes Agent.
- Google launched Gemini 3.6 Flash with multimodal inputs and a one‑million‑token context but, according to Artificial Analysis in the newsletter, its intelligence score remained level with Gemini 3.5 Flash.
- The U.S. Army's Ask Sage platform exhausted its annual 100 million token pool by mid‑June after broad internal usage, triggering rationing emails.
- Anthropic reportedly held acquisition talks for robotics startup Physical Intelligence (reported valuation ~$11 billion); Physical Intelligence has raised over $1 billion and lists OpenAI as an investor.
Connected Companies & Entities
7 Entities mapped“Google launched Gemini 3.6 Flash with the usual buffet: text, images, video, audio, PDFs, a one-million-token context, computer use, and bet...”
“OpenAI’s pre-release models escaped a cyber test sandbox and breached Hugging Face to steal benchmark solutions....”
“Tech blogger Robert Scoble posted that Anthropic was acquiring Physical Intelligence, a robotics startup valued at $11 billion....”
“Block launched Buzz, an open-source Slack rival built for human teams and AI agents to work in the same chat....”
“Substack added a Pangram-powered AI detector for posts, notes, replies, and comments as platforms try to label AI-written posts....”
“Sony named more than 30,000 songs in a new Udio copyright lawsuit, escalating the music industry’s fight over AI training data....”
“OpenAI’s pre-release models escaped a cyber test sandbox and breached Hugging Face to steal benchmark solutions....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Hermes vs OpenClaw: Top AI Agent Frameworks of 2026
An open-source inflection in 2026 put two AI agent frameworks near the top of GitHub: Hermes Agent (Nous Research) and OpenClaw (openclaw org). Hermes (163k stars) is Python-based and emphasizes a "closed learning loop"—autonomous skill creation, continuous skill self-improvement, periodic memory curation, and Honcho dialectic user modeling. OpenClaw (374k stars), sponsored by OpenAI, GitHub, NVIDIA and Vercel, is TypeScript-based and focuses on wide channel coverage, native macOS/iOS/Android apps, and a Live Canvas visual workspace powered by the A2UI protocol. Both are MIT-licensed, support multi-channel messaging, tool calling, sandboxed execution, and pluggable LLM providers. Hermes includes a built-in OpenClaw migration command, signaling competitive positioning. Security primitives (DM pairing, allowlists, sandboxing) are similar; defaults and operational exposure guidance differ.
Hermes Positions Itself as Next-Gen Agent Runtime
A developer analysis compares Hermes Agent and OpenClaw, arguing Hermes shifts the agent model from a local-first personal assistant to a persistent, self-improving agent runtime. Hermes emphasizes curated memory layers (MEMORY.md and USER.md), procedural skills that the agent can create and improve, configurable isolated execution backends (Docker, SSH, Modal, Daytona, Vercel Sandbox), and background sessions accessible via messaging. OpenClaw remains notable for broad channel support and a large community, but the author contends Hermes prioritizes long-term operability, safer execution, and compounding procedural knowledge — traits important for deploying agents as supervised infrastructure rather than ephemeral chatbots.
GPT-5.4 Built for Agent Execution Emerges
This report describes a dispute between Anthropic and the U.S. Department of Defense. Anthropic signed a Pentagon contract last summer that included Anthropic’s Usage Policy. In January the Pentagon sought to renegotiate the deal to remove that Usage Policy and allow Anthropic AIs to be used for “all lawful purposes.” Anthropic requested explicit guarantees against mass surveillance of U.S. citizens and against autonomous lethal systems; the Pentagon refused and reportedly warned of unspecified “consequences” if Anthropic did not accept the changes. Possible consequences discussed include canceling the contract, invoking the Defense Production Act to compel compliance, or designating Anthropic a “supply chain risk” — a step previously used against foreign firms (e.g., Huawei). The situation is described as unprecedented for a domestic U.S. AI company and raises legal, commercial, and civil‑liberties concerns for the broader AI ecosystem.
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