Hermes Agent is the open-source, self-improving AI agent that learns from experience, adapts to any LLM, and connects across every platform — transforming every employee from a knowledge consumer into an autonomous creator.
Hermes Agent is MIT-licensed — completely open, forever. github.com/NousResearch/hermes-agent
| Capability | Knowledge Agent (Glean) | Autonomous Agent (Hermes) |
|---|---|---|
| Find information | ✓ Native | ✓ Native |
| Answer questions | ✓ Native | ✓ Native |
| Execute multi-step tasks | ✗ Limited | ✓ Unlimited |
| Write & edit code | ✗ | ✓ Full |
| Run shell commands | ✗ | ✓ Full |
| Browse the web | ✗ | ✓ Full |
| Cross-session memory | ✗ | ✓ Persistent |
| Self-improving via skills | ✗ | ✓ Core Feature |
| Multi-LLM support | ✗ Vendor-locked | ✓ 20+ Providers |
| Multi-platform | ✗ Web only | ✓ 10+ Platforms |
| Open source | ✗ Proprietary | ✓ MIT License |
| Skill composability | ✗ | ✓ Thousands |
| Multi-agent orchestration | ✗ | ✓ Delegation + ACP |
| Local model support | ✗ | ✓ llama.cpp + more |
General capabilities built by core teams
Third-party integrations from the community
Organizational expertise, built by employees
"Skills are organized collections of files that package composable procedural knowledge for agents. They're folders — by design. Anyone, human or agent, can create and use them as long as they have a computer. They work with what you already have — version them in Git, throw them in Google Drive, zip them up and share with your team."
Loaded Skills
Loaded Skills
Loaded Skills
Employee writes SKILL.md + scripts + tests
Push to registry with tags & metadata
Governance agent tests & approves
Available org-wide or to selected teams
Visible on employee profile, considered in performance reviews, displayed in org directory as a recognized domain expert.
$1,000–$10,000 per top-10 adopted skill. Based on downloads, time-saved metrics, and quality score verified by the governance agent.
3+ verified skills contributed = automatic qualification for next-level roles. Skills replace "years of experience" as a signal.
10% of work hours allocated for skill building and improvement. Skill creation is recognized as high-value work.
Monthly showcase of top skill contributors. Quarterly awards with executive visibility. "Skill Creator of the Year" award.
Real-time analytics showing who uses your skill, hours saved, and quality metrics. Transparent, data-driven reputation system.
Each employee saving 2 hours/week × 100 employees = 200 hours/week = 5 full-time employees recovered.
Skills improve over time (versioned). New hires productive in days vs weeks. Knowledge never walks out the door.
09:00 — Search for docs
Glean search for quarterly data. Find 15 documents. Manually read and extract key numbers.
10:00 — Manual analysis
Open Excel. Pull data from 5 different systems. Write formulas. Build charts. Format report.
14:00 — Review & iterate
Send draft to manager. Wait for feedback. Make changes. Repeat. Report takes 3 days.
Next week — Same thing
No process automation. No learning from previous work. Each report is a ground-up rebuild.
09:00 — "Q3 variance analysis"
One prompt. Agent connects to SAP via MCP, pulls GL data, runs Python analysis, generates report.
09:20 — Review output
Review generated report. Request two tweaks. Agent applies changes instantly. Done in 25 min total.
10:00 — Publish skill
Save the methodology as a "financial-analysis" skill. Push to org registry. Get recognized.
Every week — Instant reports
Skills compound. Next report takes 5 minutes. Team uses your skill. Knowledge lives forever.
The industry was still defining what AI agents even are. Early experiments. No standardized approach. Every company building their own from scratch.
Every company started building agents for every domain. Agent sprawl emerged. Duplicated effort. Expensive. Hard to maintain. Each agent = months of work.
Anthropic launches the Skills initiative. Hermes Agent hits 132K stars. The paradigm inverts: instead of N agents for N domains, ONE agent with N skills. Open Design launches with 31+ skills and 72 design systems.
Enterprise adoption accelerates. Employees customize their agents with skill libraries. The "agent developer" role emerges. Skills become a core job responsibility. 35%+ enterprise adoption of agent workflows.
Governance agents verify quality. Skills marketplace with ratings and reviews. Employee rewards tied to skill contributions. The line between "using AI" and "building AI" disappears entirely. The $47B agent market is fully mature.
Knowledge agents like Glean were the first step — they helped us find information faster.
Hermes Agent and the skill ecosystem are the second step — they help us do the work autonomously.
The third step — a world where every employee has a personal agent, a library of shared skills, and a governance system that rewards contribution — is where the compounding value lives.
The enterprise that adopts this model first will have a decade-long competitive advantage.