Things You Can Do with Hermes Agent + OpenCode

How two open-source AI tools are quietly changing the way developers build, debug, automate, and ship software.

The Day I Realized AI Coding Assistants Were Still Missing Something.

A few months ago, I found myself switching between multiple AI tools.

One tool helped me write code. Another remembered my project context.

A third automated repetitive tasks. A fourth helped me research documentation.

The problem? None of them worked together.

Every morning I had to explain my project again. Every new session felt like onboarding a new teammate.

Then I discovered two open-source projects that complement each other surprisingly well:

One acts like a persistent AI engineer that remembers and learns. The other acts like a powerful coding agent living directly inside your terminal.

When combined, they create something much bigger than the sum of their parts.

Let’s explore what developers can actually do with this stack.

Hermes Agent is an open-source self-improving AI agent built by Nous Research. Unlike traditional AI assistants, Hermes can remember previous work, create reusable skills, learn from tasks, run autonomously, and operate across multiple platforms.

Think of Hermes as:

Key capabilities include:

Hermes becomes smarter as you continue working with it.

OpenCode is an open-source AI coding agent designed for developers who prefer working directly inside the terminal. It supports dozens of AI models, multiple coding workflows, LSP integration, Git workflows, MCP servers, and project-level intelligence.

Think of OpenCode as:

Key capabilities include:

Most AI coding tools solve only one problem:

“Help me write code.”

But modern software development is much bigger than writing code.

Developers also need to:

This is where Hermes and OpenCode shine together.

OpenCode handles execution. Hermes handles memory, learning, orchestration, and automation.

Imagine telling OpenCode:

OpenCode can:

Meanwhile Hermes remembers:

The next feature becomes dramatically easier.

This is perhaps the most impressive capability.

Whenever Hermes solves a difficult problem, it can create reusable skills and store them for future use.

For example:

You ask:

You ask:

Hermes already knows:

No repeated explanations.

Instead of asking AI to create individual files, you can build complete applications.

Examples:

OpenCode writes the code.

Hermes coordinates the process.

One of the most valuable uses. Hermes can continuously review repositories and identify:

OpenCode can then generate fixes automatically.

This feels like having a dedicated staff engineer reviewing every pull request.

Legacy projects often contain:

OpenCode can perform refactoring tasks.

Hermes remembers:

This prevents AI from repeatedly making the same mistakes.

Most developers hate writing documentation.

Hermes + OpenCode can automatically generate:

Imagine every pull request automatically updating documentation.

That’s a massive productivity boost.

A production bug appears. 

Traditional workflow:

Hermes workflow:

Hours become minutes.

Every engineering team eventually needs:

Hermes can design the solution.

OpenCode can implement it.

Examples include:

Hermes supports scheduling and automation.

Imagine these daily tasks:

Hermes:

Hermes:

This is the beginning of AI-powered DevOps.

Large projects require specialization. Hermes supports sub-agents with isolated environments.

Examples:

Focuses only on UI.

Focuses on APIs.

Focuses on quality assurance.

Focuses on docs.

Focuses on vulnerability analysis.

Together they operate like an engineering team.

Developers spend enormous time searching:

Hermes can browse, search, and collect information while OpenCode applies those findings directly to your codebase.

One underrated use case.

Hermes remembers:

It becomes increasingly personalized over time. You effectively build your own technical mentor.

Deployments often involve:

OpenCode generates the implementation. Hermes remembers your deployment patterns.

This reduces repetitive setup work significantly.

As projects grow:

Hermes acts as organizational memory. OpenCode acts as implementation muscle.

Together they help keep large systems healthy.

Imagine you’re building a Next.js SaaS application.

Ask Hermes:

Hermes creates:

OpenCode generates:

Hermes stores everything learned.

Future development becomes dramatically faster. That’s where the real productivity gain appears.

The industry is moving from:

AI Assistants

→ toward

AI Agents

And eventually toward

AI Engineering Teams

Hermes represents the memory layer. OpenCode represents the execution layer.

Together they provide something many developers have wanted for years:

Most AI tools today are excellent at generating code. Very few are excellent at remembering context. 

Even fewer can continuously improve themselves. Hermes Agent and OpenCode address both challenges.

If you’re a developer exploring the future of agentic software engineering, this combination deserves serious attention.

Not because it replaces developers. But because it removes repetitive work and allows developers to focus on what matters most:

Solving real problems and building great products.

The future isn’t AI replacing developers. The future is developers working alongside AI agents that remember, learn, automate, and continuously improve.

Hermes + OpenCode is one of the clearest examples of that future available today.

I hope you found it helpful and informative. If you have any questions or feedback, feel free to leave a comment below. Your support and engagement mean a lot to me.