The Agentic Intelligence Report
BREAKING
GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows (arXiv cs.CL)•Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval (arXiv cs.AI)•Full-Stack Optimizations for Agentic Inference with NVIDIA Dynamo (NVIDIA Developer Blog)•Google launches generative UI standard for AI agents (The Decoder AI)•Build a More Secure, Always-On Local AI Agent with OpenClaw and NVIDIA NemoClaw (NVIDIA Developer Blog)•Salesforce CEO Marc Benioff says APIs are the new UI for AI agents (The Decoder AI)•Automated Weak-to-Strong Researcher - Anthropic Alignment Science Blog (Anthropic News)•Chinese tech workers are starting to train their AI doubles–and pushing back (MIT Tech Review AI)•The NSA is using Anthropic's most powerful AI model Mythos (The Decoder AI)•The 12-month window (TechCrunch AI)•GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows (arXiv cs.CL)•Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval (arXiv cs.AI)•Full-Stack Optimizations for Agentic Inference with NVIDIA Dynamo (NVIDIA Developer Blog)•Google launches generative UI standard for AI agents (The Decoder AI)•Build a More Secure, Always-On Local AI Agent with OpenClaw and NVIDIA NemoClaw (NVIDIA Developer Blog)•Salesforce CEO Marc Benioff says APIs are the new UI for AI agents (The Decoder AI)•Automated Weak-to-Strong Researcher - Anthropic Alignment Science Blog (Anthropic News)•Chinese tech workers are starting to train their AI doubles–and pushing back (MIT Tech Review AI)•The NSA is using Anthropic's most powerful AI model Mythos (The Decoder AI)•The 12-month window (TechCrunch AI)
MARKETS
NVDA $201.68 ▲ +1.78•MSFT $422.79 ▼ -2.03•AAPL $270.23 ▲ +3.27•GOOGL $341.68 ▲ +4.03•AMZN $250.56 ▼ -4.43•META $688.55 ▲ +9.95•AMD $278.39 ▼ -2.61•AVGO $406.54 ▲ +5.64•TSLA $400.62 ▲ +4.70•PLTR $146.39 ▲ +1.07•ORCL $175.06 ▼ -7.87•CRM $182.14 ▼ -3.29•SNOW $143.98 ▼ -0.52•ARM $166.73 ▼ -0.61•TSM $370.50 ▼ -2.70•MU $455.07 ▼ -11.78•SMCI $28.56 ▼ -0.50•ANET $164.23 ▲ +1.99•AMAT $396.94 ▼ -0.81•ASML $1459.80 ▼ -3.96•CIEN $507.43 ▲ +6.96•NVDA $201.68 ▲ +1.78•MSFT $422.79 ▼ -2.03•AAPL $270.23 ▲ +3.27•GOOGL $341.68 ▲ +4.03•AMZN $250.56 ▼ -4.43•META $688.55 ▲ +9.95•AMD $278.39 ▼ -2.61•AVGO $406.54 ▲ +5.64•TSLA $400.62 ▲ +4.70•PLTR $146.39 ▲ +1.07•ORCL $175.06 ▼ -7.87•CRM $182.14 ▼ -3.29•SNOW $143.98 ▼ -0.52•ARM $166.73 ▼ -0.61•TSM $370.50 ▼ -2.70•MU $455.07 ▼ -11.78•SMCI $28.56 ▼ -0.50•ANET $164.23 ▲ +1.99•AMAT $396.94 ▼ -0.81•ASML $1459.80 ▼ -3.96•CIEN $507.43 ▲ +6.96
Education Track
Hermes Agent
A professional guide to installing, understanding, and using Hermes Agent as a structured agent workspace.
Structured Agent Workspace
Hermes is for builders who want a legible agent system, not vague autonomy theater.
Hermes Agent is a real operating environment from Nous Research. It combines a CLI, tools, memory, skills, and optional gateways into one system you can gradually teach and harden over time.
What It Is
CLI workspace
Hermes is easiest to understand in the terminal first. That is where you see the real operating loop instead of hiding it behind a chat surface.
What It Is
Skills + memory
Its long-term value is not one brilliant run. It is the ability to save patterns, retain useful context, and reuse workflows cleanly.
What It Is
Tool discipline
Hermes gets stronger when you deliberately choose the smallest useful toolset, then expand only after the workflow is stable.
Install Hermes
Step-by-step setup
Use the official install path, then configure the model and tools before you test anything ambitious.
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
source ~/.zshrc # or: source ~/.bashrc
hermes
hermes setup
hermes model
hermes tools
hermes doctorNative Windows is not the primary path here. Use WSL2 if you are on Windows and want the most reliable start.
Before You Start
What a human should understand first
- Hermes Agent is not the same thing as “the Hermes model.”
- The CLI is the cleanest learning surface.
- Keep the toolset small until the behavior is understandable.
- Use diagnostics early instead of guessing through a bad setup.
First Session
What to do in the first 30 minutes
The first win should be boring, reviewable, and easy to repeat.
1
Install Hermes Agent
Run the official bootstrap script, reload your shell, and confirm the `hermes` command launches.
2
Run setup immediately
Do not improvise your first run. Configure the model, tools, and environment before you hand it real work.
3
Stay in the CLI
Keep the first sessions in the terminal so you can see the true workflow before adding messaging or automation.
4
Use one bounded task
Start with a concrete task you can review in minutes, not a vague “be my assistant” request.
How To Use It
Good first tasks
Repo orientation, drafting, summarization, structured planning, and reusable workflow design.
How To Use It
Avoid at first
Broad system control, publishing, irreversible commands, or any task where you do not already know how success should look.
How To Use It
Professional habit
Ask Hermes to plan first, keep outputs reviewable, and save only the patterns that survive repeated use.
Prompt Scaffold
A clean way to ask Hermes for work
Task: [one bounded objective]
Context:
- Working directory or project:
- Relevant files or source material:
- Constraints:
- Tools you may use:
Success criteria:
- What a good result looks like:
- What must not happen:
Review loop:
- Show the plan first if the task is multi-step
- Flag assumptions and uncertainty
- Ask before risky or irreversible actionsLearning Sprint
A better way to learn Hermes
Install and boot the CLI
Run one bounded task and write down what drifted
Trim the toolset and rerun the same task
Save one working pattern as a reusable skill or SOP
Try a second workflow and compare transfer quality