Hermes Agent

Hermes Agent is an open-source AI agent framework for building autonomous AI systems. It provides a complete platform for creating agents that can reason, use tools, delegate tasks, and interact with external services.

Overview

Hermes Agent is designed as a general-purpose AI agent runtime. It combines a powerful tool system (including MCP — Model Context Protocol), multi-agent orchestration, and flexible model support. Agents can browse the web, execute code, manage files, interact with APIs, and coordinate with specialized sub-agents.

Key Features

  • Multi-Agent Orchestration: Spawn and coordinate specialized sub-agents for complex tasks
  • MCP (Model Context Protocol): Standardized tool and resource integration
  • Autonomous Operation: Agents can run independently with goal-directed behavior
  • Web Access: Built-in browsing and web scraping capabilities
  • Code Execution: Run Python and shell code in sandboxed environments
  • File Management: Read, write, and manage local files
  • Model Flexibility: Works with Anthropic, OpenAI, and local LLM providers
  • Task Decomposition: Break complex goals into subtasks automatically

Metadata

Property Value
Language / Framework Python (custom framework, MCP-compatible)
Main Use-Case General-purpose AI assistant
License Open Source
Can Run with Local AI Yes — configurable to use any LLM endpoint including Ollama and LM Studio

Official Resources