Hermes Agent, developed by Nous Research, is a self-improving AI agent designed to grow with its user. Its primary function is to provide an intelligent and adaptable conversational interface, capable of learning from experience, improving its skills, and building a personalized understanding of the user over time. The agent is designed to be versatile, running on various infrastructures, from a $5 VPS to a GPU cluster or serverless environments, and accessible through multiple platforms.

A core feature of Hermes Agent is its built-in learning loop. This loop enables the agent to create new skills autonomously after complex tasks, refine these skills through ongoing use, and actively retain knowledge. It achieves this through a combination of agent-curated memory, periodic knowledge nudges, and a full-text search (FTS5) of past conversations, summarized by an LLM, for cross-session recall. This allows the agent to remember and leverage past interactions, making it more effective over time. Furthermore, Hermes Agent integrates with the agentskills.io open standard, promoting interoperability and skill sharing.

The agent offers a real terminal interface with features like multiline editing, slash-command autocomplete, conversation history, and streaming tool output. It also provides a messaging gateway, allowing users to interact with the agent through various platforms, including Telegram, Discord, Slack, WhatsApp, Signal, and CLI. This multi-platform support ensures that users can access and utilize the agent from their preferred communication channels.

Hermes Agent is designed to be highly customizable and adaptable. Users can choose from a wide range of Large Language Models (LLMs) from providers like Nous Portal, OpenRouter (with 200+ models), z.ai/GLM, Kimi/Moonshot, MiniMax, and OpenAI, or even their own custom endpoints. Switching between models is straightforward, requiring no code changes. The agent also supports scheduled automations, allowing users to set up tasks like daily reports, nightly backups, and weekly audits, all in natural language and running unattended.

Beyond its core conversational capabilities, Hermes Agent supports delegation and parallelization. It allows users to spawn isolated subagents for parallel workstreams and write Python scripts that call tools via RPC, streamlining multi-step pipelines. The agent is also designed with research in mind, offering features like batch trajectory generation and integration with Atropos RL environments.

Installation is simplified with a single-line command that handles all dependencies. The project provides comprehensive documentation, including quickstart guides, CLI usage instructions, configuration details, and guides for the messaging gateway, security, tools, skills, memory management, and more. The documentation is readily available at hermes-agent.nousresearch.com/docs.

For users migrating from OpenClaw, Hermes Agent offers a migration tool to import settings, memories, skills, and API keys. The project actively encourages contributions and provides detailed instructions for developers, including development setup, code style guidelines, and the PR process. A vibrant community is fostered through Discord, a Skills Hub, and issue and discussion forums on GitHub. The project is licensed under the MIT license, promoting open use and modification. In essence, Hermes Agent is a powerful, flexible, and evolving AI assistant designed to enhance user productivity and knowledge retention through its self-improving capabilities and versatile integration options.