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The Agentic Intelligence Report

BREAKING
Why Cognition bought Poke: AI personality is becoming a competitive advantage (TechCrunch AI)•AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics (arXiv cs.AI)•Build a Database Advisor Agent with the DeepWiki Connector (TypeScript) - Mistral AI Documentation (Mistral AI News)•Build a Database Advisor Agent with the DeepWiki Connector (Python) - Mistral AI Documentation (Mistral AI News)•InferenceBench: A Benchmark for Open-Ended LLM Inference Optimization by AI Agents (arXiv cs.AI)•Project Pilot: Can AI models fly drones? - Anthropic (Anthropic News)•Prentis, new AI lab co-founded by Reid Hoffman, Marc Pincus in talks to raise $100M (TechCrunch AI)•Computer Science Enrollment Now Declining Under Dark Cloud of AI (Futurism AI)•Midjourney bought the astrology app Co-Star (The Verge AI Feed)•Did Chinese AI Steal From Anthropic, and OpenAI Loses Control of Two Models (Wired AI)•Why Cognition bought Poke: AI personality is becoming a competitive advantage (TechCrunch AI)•AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics (arXiv cs.AI)•Build a Database Advisor Agent with the DeepWiki Connector (TypeScript) - Mistral AI Documentation (Mistral AI News)•Build a Database Advisor Agent with the DeepWiki Connector (Python) - Mistral AI Documentation (Mistral AI News)•InferenceBench: A Benchmark for Open-Ended LLM Inference Optimization by AI Agents (arXiv cs.AI)•Project Pilot: Can AI models fly drones? - Anthropic (Anthropic News)•Prentis, new AI lab co-founded by Reid Hoffman, Marc Pincus in talks to raise $100M (TechCrunch AI)•Computer Science Enrollment Now Declining Under Dark Cloud of AI (Futurism AI)•Midjourney bought the astrology app Co-Star (The Verge AI Feed)•Did Chinese AI Steal From Anthropic, and OpenAI Loses Control of Two Models (Wired AI)
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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.

Official Site Docs GitHub
Best forTerminal-first operator workflows
Start hereCLI before gateways
Main valueReusable skills, memory, and structured runs
Big mistakeTurning on everything before you understand the core loop

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 doctor

Native 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 actions

Learning Sprint

A better way to learn Hermes

Day 1

Install and boot the CLI

Day 2

Run one bounded task and write down what drifted

Day 3

Trim the toolset and rerun the same task

Day 4

Save one working pattern as a reusable skill or SOP

Day 5

Try a second workflow and compare transfer quality

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