Hermes Agent is an open-source, autonomous AI agent developed by Nous Research, designed to serve as a persistent and self-improving digital companion. Unlike traditional coding copilots or simple chatbot wrappers, Hermes Agent operates as an autonomous entity that lives on your server—ranging from a $5 VPS to a full GPU cluster or serverless infrastructure like Modal—enabling it to function independently of your local machine. By maintaining persistent memory and generating its own procedural skills from experience, the agent becomes increasingly capable over time, learning your specific project workflows and remembering how it solved problems across past sessions.

Functionality centers on a built-in learning loop. The agent actively curates its memory, creates and improves its own skills based on task performance, and uses FTS5-backed full-text search to recall relevant information across sessions. It supports a wide array of terminal backends, including local, Docker, SSH, Daytona, Singularity, and Modal, allowing it to operate in sandboxed, secure environments. Users can interact with the agent across over 20 messaging platforms, including Telegram, Discord, Slack, WhatsApp, and CLI, making it a truly ubiquitously available collaborator.

Some of the key features are:

• Closed learning loop: An agent-curated memory system that creates and refines skills autonomously based on task execution.
• Multi-platform support: A gateway that provides access via CLI, Telegram, Discord, Slack, WhatsApp, Email, SMS, and many others.
• Real sandboxing: Multiple backends for isolated task execution including Docker, SSH, and serverless environments.
• Scheduled automations: Natural language cron job support for running unattended reports, backups, and briefings.
• Parallelization: Capability to spawn isolated subagents for parallel workstreams to streamline complex pipelines.
• MCP support: Native integration with the Model Context Protocol to extend capabilities by connecting to any MCP server.
• Voice integration: Real-time voice interaction modes for CLI and messaging platform usage.
• Personality definition: A SOUL.md system that allows users to define the agent's behavior and communication style globally.

Operation is initiated via a straightforward installation process, after which users configure their preferred AI provider—such as Nous Portal, OpenRouter, or local endpoints—to enable inference. Once set up, the agent works by processing user input, calling tools as needed, and storing reflections on its actions as reusable skills. These skills can be invoked via simple slash commands, allowing the agent to perform complex, multi-step tasks efficiently. The system is designed to be extensible, supporting custom plugins and community-contributed skills that can be installed directly from the hub.

Some common use cases include:

• Personal assistant: Summarizing inboxes, managing tasks across Obsidian and calendar apps, and providing daily briefings on trending topics.
• Dev workflow automation: Automatically generating code reviews, managing project tickets, monitoring repositories, and handling CI/CD deployment routines.
• Autonomous research: Scouting for information, summarizing research dumps, and conducting market analysis by delegating work to specialized subagents.
• Trading and markets: Monitoring financial data or market changes and providing alerts based on predefined criteria without needing manual interaction.
• Home automation: Controlling IoT devices, monitoring server health, and interacting with services like Home Assistant via natural language commands.