Hermes Agent：Self-Improving AI Agent That Evolves With You
Hermes Agent is an open-source AI agent from Nous Research with a self-learning loop — creates skills from experience, continuously improves, remembers your preferences, and gets better the more you use it.
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The Problem: Most AI Agents Forget You #
You spend hours teaching an AI assistant your workflow, your coding style, your project structure. Then you start a new session — and it’s all gone. The agent treats you like a stranger every single time.
This is the fundamental limitation of most AI agents today: no memory, no learning, no growth. They’re stateless by design, which makes them powerful tools but terrible long-term partners.
Hermes Agent solves this with a radical approach: it’s the only agent with a built-in learning loop.
What is Hermes Agent? #
Hermes Agent is an open-source AI agent created by Nous Research — the same team behind the Hermes family of open-source LLMs. With 136,579+ stars on GitHub and 20,960+ forks, it’s one of the most popular AI agent frameworks in existence.
The project’s tagline says it all: “The agent that grows with you.”
Unlike other agents that are static tools, Hermes Agent:
- Creates skills from experience — learns your workflows and saves them as reusable skills
- Improves skills during use — refines its abilities based on feedback
- Persists knowledge across sessions — remembers who you are and what you like
- Builds a deepening model of you — the more you use it, the better it understands you
Key Features #
1. Built-in Learning Loop #
Hermes Agent’s core innovation is its self-improvement cycle:
Experience → Reflection → Skill Creation → Practice → Improvement
When you complete a task with Hermes, it:
- Analyzes what worked and what didn’t
- Extracts reusable patterns
- Creates a skill file documenting the approach
- Tests the skill on similar tasks
- Refines based on results
Over time, this creates a personal skill library that’s unique to you.
2. 40+ Built-in Tools #
Hermes Agent comes with a comprehensive toolset:
| Tool Category | Examples |
|---|---|
| File Operations | Read, write, search, diff, patch |
| Terminal | Execute commands, shell sessions, background jobs |
| Web | Browse, scrape, download, API calls |
| Code | Syntax check, lint, format, test |
| Git | Commit, branch, diff, log, PR review |
| System | Process management, file monitoring, cron jobs |
The toolset system lets you enable only the tools you need, reducing token usage and improving focus.
3. Skills System (Procedural Memory) #
Skills are Hermes Agent’s secret weapon. They’re reusable procedure files that capture:
- Trigger conditions — when to use this skill
- Step-by-step instructions — what to do
- Pitfalls — common mistakes to avoid
- Verification steps — how to confirm success
Example skill structure:
---
name: "hugo-blog-deploy"
trigger: "deploy hugo blog"
steps:
1. "Run hugo --minify --cleanDestinationDir"
2. "Verify build succeeded"
3. "Run deploy.sh"
4. "Check live site with curl"
pitfalls:
- "Future dates prevent building"
- "Cloudflare cache may show stale content"
verification:
- "curl -s https://site.com | grep title"
Skills can be:
- Created automatically from successful task completions
- Downloaded from Skills Hub — community-contributed skills
- Written manually for your specific workflows
- Shared with other users
4. Persistent Memory #
Hermes Agent maintains two types of memory:
User Profile Memory:
- Your preferred coding style
- Projects you work on
- Tools you like
- Communication preferences
- Common mistakes you make (so it can catch them)
Session Memory:
- Current project context
- Recent commands and outputs
- Files you’ve been editing
- Conversations from this session
This memory persists across sessions, so Hermes remembers you even after you restart your computer.
5. Messaging Gateway #
Hermes Agent isn’t just a CLI tool — it’s a multi-platform messaging bot:
| Platform | Setup | Use Case |
|---|---|---|
| Telegram | hermes gateway setup | Mobile AI assistant |
| Discord | hermes gateway setup | Team collaboration |
| Slack | hermes gateway setup | Workplace integration |
hermes gateway setup | Personal assistant | |
| Signal | hermes gateway setup | Privacy-focused |
hermes gateway setup | Async workflows |
Once configured, you can chat with Hermes from any of these platforms using the same commands and skills.
6. MCP Integration #
Hermes Agent supports the Model Context Protocol (MCP), allowing it to connect to any MCP server for extended capabilities:
- Database servers — query SQL databases
- File servers — access remote file systems
- API servers — interact with any REST API
- Custom servers — build your own integrations
This makes Hermes infinitely extensible — if you can build an MCP server, Hermes can use it.
7. Cron Scheduling #
Hermes Agent can run scheduled tasks via its built-in cron system:
# Run a skill every day at 9 AM
hermes cron add --skill "daily-report" --schedule "0 9 * * *"
# Run a backup every week
hermes cron add --skill "backup-database" --schedule "0 2 * * 0"
# List all scheduled jobs
hermes cron list
Perfect for automation workflows that need to run on a schedule.
8. Security Features #
Hermes Agent takes security seriously:
- Command approval — risky commands require explicit confirmation
- DM pairing — verify your identity before sensitive operations
- Container isolation — run untrusted code in isolated environments
- Audit logging — all actions are logged for review
Quick Start #
Installation #
# One-line install (Linux, macOS, WSL2)
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
# Or clone and setup manually
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
./setup-hermes.sh
First Conversation #
source ~/.bashrc # reload shell
hermes # start chatting
Configure Providers #
# Set your preferred LLM provider
hermes config set provider openai
hermes config set model gpt-4o
# Or use local models
hermes config set provider ollama
hermes config set model llama3.1
Useful Commands #
# Start fresh conversation
/new
# Change model on the fly
/model anthropic:claude-3-5-sonnet
# Set a personality
/personality developer
# Check your usage
/usage
# Browse available skills
/skills
# Use a specific skill
/hugo-blog-deploy
# Compress context to save tokens
/compress
Architecture #
Hermes Agent is built with a modular architecture:
Hermes Agent
├── CLI Interface (terminal UI)
├── Messaging Gateway (Telegram, Discord, etc.)
├── Agent Core (reasoning engine)
├── Skills System (procedural memory)
├── Memory Store (persistent storage)
├── Toolset Manager (40+ tools)
├── MCP Client (external integrations)
├── Cron Scheduler (automated tasks)
└── Security Layer (approval, isolation)
The entire system is written in Python (28M+ lines) with TypeScript components for the web interface.
Use Cases #
For Developers #
- Code review assistant — Hermes learns your codebase and reviews PRs
- DevOps automation — Deploy, monitor, and troubleshoot infrastructure
- Documentation writer — Auto-generate docs from code comments
- Bug hunter — Search for patterns that caused past bugs
For Teams #
- Shared skill library — Team-wide best practices as reusable skills
- Onboarding accelerator — New team members get instant access to team knowledge
- 24/7 operations — Cron jobs handle routine maintenance
- Multi-platform access — Chat with Hermes from Slack, Discord, or Telegram
For Power Users #
- Personal knowledge base — Hermes remembers everything you teach it
- Workflow automation — Complex multi-step tasks become one command
- Cross-platform assistant — Same assistant on desktop, mobile, and web
- Custom integrations — Build MCP servers for your specific tools
Performance Comparison #
| Feature | Hermes Agent | Claude Code | Cursor | GitHub Copilot |
|---|---|---|---|---|
| Self-learning | ✅ Yes | ❌ No | ❌ No | ❌ No |
| Persistent memory | ✅ Yes | ❌ No | ❌ No | ❌ No |
| Skills system | ✅ Yes | ❌ No | ❌ No | ❌ No |
| Multi-platform | ✅ 6 platforms | ❌ CLI only | ❌ Desktop only | ❌ IDE only |
| Open source | ✅ Yes | ❌ No | ❌ No | ❌ No |
| Cron scheduling | ✅ Yes | ❌ No | ❌ No | ❌ No |
| MCP support | ✅ Yes | ❌ No | ❌ No | ❌ No |
| Free tier | ✅ Self-hosted | 💰 API costs | 💰 Subscription | 💰 Subscription |
Limitations #
- Learning curve — The skills system requires upfront investment
- Local setup — Self-hosting requires technical knowledge
- Resource usage — Persistent memory consumes storage over time
- Provider costs — LLM API calls still cost money (unless using local models)
Related Articles #
- AI Tools Directory 2024 - 200+ tools
- DS4: DeepSeek V4 Flash - Local inference
- MemPalace: AI Memory - AI memory
- Agent Reach: Internet Access - AI internet
- Product Hunt Alternatives - Launch
Conclusion #
Hermes Agent represents a fundamental shift in how we think about AI assistants. Instead of treating AI as a disposable tool, Hermes treats it as a long-term partner that grows alongside you.
The self-improving loop, persistent memory, and skills system create a compounding effect: the more you use Hermes, the more valuable it becomes. This is the opposite of traditional AI tools that provide diminishing returns over time.
If you’re tired of re-teaching your AI assistant the same things every session, Hermes Agent is worth exploring.
GitHub: NousResearch/hermes-agent
Documentation: hermes-agent.nousresearch.com/docs
Stars: 136,579+ | Forks: 20,960+ | License: Open Source
Have you tried Hermes Agent? What’s your experience with self-improving AI agents? Share your thoughts in the comments.