Hermes Agent is an open source framework built around a continuous learning loop. Instead of running the same static scripts over and over, it evaluates its own outcomes, remembers your preferences, and writes its own skills to handle whatever comes next. In this session we get Hermes running on your machine and plug it into the Sectors API, so you can track the Indonesian and Singapore stock markets with an assistant that actually adapts to your research style.
The vibe is casual and hands on. By the end of the afternoon you will have a live Hermes instance running background market analysis, watching stock movements, and optimizing its own code to pull financial data faster than it did an hour earlier.
Come if you want to move past simple chatbots. Analysts, developers, traders, and the tech curious are all welcome, and no advanced finance background is required. If you want to see how an autonomous agent improves its own workflows while pulling live financial metrics, this afternoon is for you.
Most agents forget everything the moment a task ends. Hermes does the opposite. Every run leaves it a little faster and a little more tuned to how you read the markets, because it writes down what worked as a skill it can reuse. That is the whole point of the afternoon. You do not just leave with an agent, you leave with an agent that is already learning your style.
Hermes Agent, the self-improving loop in one paragraph
The Self-Improving Architecture
What makes Hermes fundamentally different from a static agent.
- The closed loop: the agent runs a task, evaluates the data quality, and extracts the logic into a reusable skill file.
- How Hermes keeps long-term memory without blowing up your token budget.
- Where self-improving agents shine, and where a human still belongs in the loop.
Live Demo: Autonomous Market Analysis
Watch a live Hermes agent analyze the market and improve mid-task.
- A live pull of real market data from the Sectors API: PE ratios, earnings growth, and dividend yields.
- The exact moment the agent spots a bottleneck, writes a new internal skill, and processes the next stock report faster.
- How to read what the agent is doing and know when to trust its output.
Core Setup and Deployment
Open your terminal and get Hermes running locally.
- Run the installation wizard and configure your preferred model providers.
- Set up your workspace directory the way autonomous runs expect it.
- Add spending caps so background research never turns into a surprise API bill.
Adding the Sectors Skill
Give your agent its financial superpower.
- Install the Sectors Financial Agents skill directly into the Hermes ecosystem.
- Reach deep financial metrics using plain natural language commands.
- Validate the skill by running your first live market-data queries.
Playing With Real Data and Logic Loops
Take the wheel and shape the agent around your own style.
- Task the agent with comparing companies and finding market value.
- Watch it chain data points together on its own.
- Give feedback and refine its analytical skills to match your investing criteria.
Coffee, Snacks, and Networking
The formal part ends, the good part begins.
- Swap notes and show off what your agent managed to build.
- Meet the rest of the community over fresh coffee and light bites.
- Bring your questions, your ideas, and the topics you are curious about.
