Hermes Agent
Hermes Agent is an open-source autonomous agent developed by Nous Research (MIT license). Unlike IDE copilots or chatbot wrappers, it runs persistently on your own infrastructure, learns from every session, and self-improves by generating new skills over time.
🔑 Key capabilities
Section titled “🔑 Key capabilities”- Persistent memory — agent-curated knowledge base with full-text search (FTS5) and cross-session recall via LLM summarization
- Auto-generated skills — the agent creates reusable skills during operation; community-contributed skills are available via agentskills.io
- Subagents — isolated subagents with their own conversations, terminals, and Python RPC scripts for parallel, zero-context-cost pipelines
- Built-in scheduling — natural language cron jobs for reports, backups, and briefings running unattended
- 47 built-in tools — web search, browser automation, vision, image generation, text-to-speech, and more
- MCP integration — connects to any Model Context Protocol server with tool filtering
🌐 Messaging gateways
Section titled “🌐 Messaging gateways”Supports 14+ platforms: CLI, Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, WeCom, Home Assistant. Conversations are portable — start on one platform, continue on another.
🛠️ Deployment backends
Section titled “🛠️ Deployment backends”| Backend | Notes |
|---|---|
| Local | Linux, macOS, WSL2 |
| Docker | Container hardening and namespace isolation |
| SSH | Remote execution |
| Singularity | HPC environments |
| Modal / Daytona | Serverless, near-zero cost when idle |
🤖 Model support
Section titled “🤖 Model support”Compatible with Nous Portal, OpenRouter, OpenAI, and custom endpoints.
🧪 Research features
Section titled “🧪 Research features”- Trajectory export for research and evaluation
- RL training pipeline via the Atropos framework
- Honcho-based dialectic user modeling
Sources
Section titled “Sources”- hermes-agent.nousresearch.com — official landing page (accessed 2026-04-08)
- hermes-agent.nousresearch.com/docs — technical documentation (accessed 2026-04-08)