Hermes Agent
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Self-improving autonomous personal AI agent with a built-in learning loop: it creates skills from experience, improves them during use, and builds persistent cross-session memory and user modeling.
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Plugin System Custom Tools MCP Protocol Code Execution Web Browsing Sandboxing CLI API Server Self-Hosted
Community Feedback
Strengths
- Only major open agent with a built-in self-improving learning loop (skills created and refined from experience)
- Persistent cross-session memory with searchable history and user modeling
- Runs on cheap infrastructure ($5 VPS to GPU cluster) with six terminal backends including Docker, SSH, Modal, and Daytona
- Native gateway to Telegram, Discord, Slack, WhatsApp, Signal alongside a full terminal TUI
- Provider-agnostic across 17+ LLM backends with no lock-in
Weaknesses
- Steeper learning curve than simpler chat-based tools
- Personal autonomous agent, not a framework for building custom agent products
- Server/terminal-centric operation is developer-oriented rather than consumer-oriented
Hermes Agent Details
| Organization | Nous Research |
| Organization Type | Company |
| Funding | Series a |
| Category | Ready-to-Use |
| Subcategory | Autonomous |
| Deployment | Self-Hosted |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash |
| GitHub Stars | 219,347 |
| GitHub Forks | 41,593 |
| Open Issues | 24,829 |
| Contributors | 387 |
| Last Commit | 2026-07-23 |
| First Release | 2025-07-22 |
| Release Cadence | Very frequent (CalVer releases, near-weekly) |
| Maturity | Stable |
| Pricing Model | Free |
| Free Tier | Fully free and open source; pay only your own LLM provider/infrastructure costs |
| Self-Hosted Free | Yes |
| Community Size | Very large (219K+ GitHub stars) |
| Community Activity | Very active (daily pushes, 387 contributors) |
| Sentiment | Very positive |
| GPU Required | No |
| Research Date | 2026-07-23 |
| LLM Providers | Nous Portal, OpenRouter, OpenAI, Anthropic, AWS Bedrock, Custom endpoints |
| API Keys Required | Any supported LLM provider key (Nous Portal, OpenRouter, OpenAI, etc.) |
Use Cases
- Long-running personal assistant reachable via Telegram, Discord, Slack, WhatsApp, Signal, and CLI
- Scheduled automations in natural language (daily reports, nightly backups, weekly audits)
- Parallel task delegation via isolated subagents
- Self-improving skill library for recurring workflows
- Batch trajectory generation for agent/model research
When to Use
Best for: Running a persistent, self-improving autonomous agent on your own server that compounds capability over time and is reachable from everyday messaging apps.
Avoid when: You need an embeddable SDK/framework to build your own agent product (use an agent framework), or a consumer-grade on-device assistant.
Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a