Hermes Agent
An open-source self-improving AI agent with memory, skills, tools, and multi-channel operation across local and cloud setups.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Hermes Agent, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Hermes Agent is an open-source AI agent by Nous Research designed around continuous improvement, persistent memory, and practical tool use across sessions. Its official documentation describes it as a self-improving agent with a built-in learning loop that creates and refines skills from experience, searches past conversations, and builds a deeper model of the user over time. The project supports local and cloud deployment, MCP connectivity, plugins, browser connection, voice mode, persistent shell access, and multi-channel use cases such as Telegram interaction while the agent works remotely. It is aimed at users and developers who want a general-purpose agent that can learn from use, retain context, and expand its capabilities through tools, memory, and extensible integrations.
Key features
- persistent memory
- self-improving
- learning loop
- MCP
- plugins
- browser automation
- voice mode
- persistent shell
- Telegram
- tool use
Use cases
- Running a general-purpose AI agent that remembers prior sessions and improves through use.
- Building custom agent workflows with tools, plugins, MCP servers, and browser or shell integrations.
- Deploying an agent on local hardware, cloud VMs, or low-cost serverless infrastructure.
- Using a persistent assistant across channels while retaining searchable conversation history and learned skills.