- Tool name: Hermes Agent
- Developer: Nous Research
- Official website: https://hermes-ai.net/
- Category: AI Agents
Hermes Agent is an open-source autonomous AI agent framework by Nous Research. It uses a learning loop to create and refine skills from interactions. It connects messaging platforms, tools, and runtimes for long-running automation.
Overview
Hermes Agent is positioned as a self-improving AI agent rather than a simple chatbot or coding copilot. Its core idea is that the agent can accumulate experience, build reusable skills, and maintain memory across sessions while running on different backends.
Key Uses
- Build autonomous agents: Hermes Agent can be used to run an AI agent that responds to messages, performs tasks, and improves over time, making it suitable for users moving beyond basic chat assistants.
- Connect multiple messaging platforms: The project lists support for more than 15 platforms through one gateway, including Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, and WeCom.
- Create and reuse skills: Its skills system allows the agent to generate procedural skills from experience and improve them during use. Skills are compatible with agentskills.io and can be shared or reused.
- Run scheduled automations: A built-in cron system can deliver scheduled tasks to supported platforms, which is useful for reminders, recurring checks, and routine notifications.
- Extend tools through MCP: Hermes Agent can connect to MCP servers to expand tool capabilities, filter tools, and integrate with the broader MCP ecosystem.
- Deploy across multiple runtimes: It supports six terminal backends, including local, Docker, SSH, Daytona, Singularity, and Modal, giving developers flexibility in where the agent runs.
- Maintain cross-session memory: The agent includes curated memory, cross-session recall, and user modeling features designed to preserve context over time.
Who It Is For
- Developers building AI agents: It is suitable for developers who want an open-source framework for autonomous agents with memory, skills, and scheduling.
- Automation-focused users: People who want an assistant connected to messaging platforms and able to handle recurring tasks may find the gateway and cron features useful.
- Teams experimenting with agent workflows: Teams using Slack, Discord, Mattermost, or similar platforms can evaluate Hermes Agent for notifications, scheduled actions, and lightweight automation.
- MCP ecosystem users: Developers already using MCP-compatible tools may benefit from the ability to connect external tool servers and manage available capabilities.
Tips for Best Results
- Review the install script first: The quick start uses a shell script downloaded via curl. Review the script before running it on Linux, macOS, or WSL2.
- Configure the LLM provider carefully: Use hermes setup to connect a model provider before starting the agent, since agent quality depends heavily on the selected model and configuration.
- Start with a narrow workflow: Begin with one messaging platform, a few simple commands, or one scheduled task before enabling broader automation, additional skills, or external MCP tools.
- Limit permissions where possible: Because the agent can interact with messaging platforms and external tools, configure access scopes conservatively to reduce unintended actions.
- Use localized documentation: The site provides documentation in 20 locales, including English and Chinese, which can help during installation and troubleshooting.
Limitations
- Requires technical setup: Hermes Agent is not a consumer app that works immediately after download. It involves command-line installation, model provider configuration, and runtime choices.
- Results depend on configuration and model choice: The value of the learning loop, skill creation, and memory features may vary depending on the LLM, data quality, and user settings.
- Third-party platform rules apply: Connecting to WhatsApp, Telegram, Slack, Email, SMS, and other services may require compliance with each platform’s policies and applicable regulations.
- Community guide versus official sources: The site describes itself as an unofficial community guide, so users should verify installation details against the official documentation and GitHub repository.
Frequently Asked Questions
How do I start using Hermes Agent?
Install it on Linux, macOS, or WSL2 using the provided shell script, then run hermes setup to configure an LLM provider. After that, start the agent with the hermes command. Reviewing the script before execution is recommended.
Is Hermes Agent free?
The project is described as open source and MIT-licensed, so the framework itself can be obtained without a license fee. However, model API usage, hosting, messaging services, or third-party platforms may involve separate costs.
Which messaging platforms does Hermes Agent support?
The listed platforms include Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, WeCom, BlueBubbles, and Home Assistant. The project describes this as support for more than 15 platforms.
How is Hermes Agent different from a normal chatbot?
It is designed for long-running autonomous operation rather than one-off chat responses. It includes memory, skill creation, scheduled automation, MCP tool integration, and multiple deployment backends.
What are alternatives to Hermes Agent?
For simple chat needs, a standard LLM chat app or bot framework may be enough. For more custom agent workflows, developers may compare it with other open-source agent frameworks or build their own automation stack.