NousResearch/hermes-agent
Hermes Agent
Hermes-agent is an autonomous AI agent framework and runtime designed to execute complex tasks and synthesize new skills from execution traces. It includes a provider-agnostic gateway for routing requests across multiple model backends and a serverless runtime that suspends idle agent instances and resumes them on demand across containers and virtual machines.
The project provides a desktop automation toolset that controls native GUI workflows on Linux by querying accessibility APIs and injecting input events. It further distinguishes itself with the ability to generate procedural skills from previous execution trajectories and the use of natural language descriptions to schedule recurring automated tasks.
The framework covers high-level capabilities including agentic memory management via semantic search and vector-based retrieval, dynamic plugin loading, and the orchestration of parallel subagents through remote procedure calls. It also supports the generation of compressed training trajectories to improve tool-calling accuracy.
Features
- Autonomous Agent Frameworks - Provides a runtime for autonomous AI agents that execute complex tasks and synthesize skills from execution traces.
- Autonomous Task Execution - Provides a dedicated runtime for independent AI agents to complete complex multi-step jobs without manual intervention.
- Semantic Memory Managers - Persists conversational history and user preferences using a combination of full-text and vector-based semantic search.
- Long-term Memory Stores - Implements persistent storage for retaining context and user information across multiple sessions.
- Agent Memory Managers - Manages long-term retrieval and preference learning to maintain behavioral patterns across user sessions.
- Autonomous Agent Orchestration - Orchestrates independent AI agents that execute complex tasks and autonomously improve their skills.
- Accessibility Tree Desktop Controllers - Controls native Linux GUI workflows by querying accessibility APIs and injecting input events.
- LLM Gateways - Offers a provider-agnostic gateway to aggregate multiple LLM providers into a single routing interface.
- Model Routing Layers - Abstracts model interactions through a unified layer that dispatches requests to various backend AI providers.
- Execution-Driven Skill Synthesizers - Generates new procedural skills by analyzing and distilling patterns from previous task execution logs.
- Hibernating Serverless Runtimes - Ships a runtime that suspends idle agent instances and resumes them on demand across containers and VMs.
- Desktop Automation - Controls native operating system applications via accessibility APIs and input event injection.
- Accessibility Tree Automation - Controls native Linux desktop workflows by querying accessibility APIs and injecting input events.
- Autonomous Agent Plugin Systems - Enables runtime skill expansion by importing new toolsets without requiring system restarts or redeployment.
- Multi-Backend Abstractions - Provides a provider-agnostic abstraction layer for routing requests across different large language model backends.
- Runtime Provider Switching - Allows switching the underlying LLM provider at runtime without modifying agent configurations.
- Natural Language Cron Schedulers - Translates plain-language time descriptions into system-level triggers for recurring autonomous task execution.
- Task Scheduling - Triggers autonomous tasks on a set timetable and delivers results to integrated messaging platforms.
- Model Context Protocol Integrations - Integrates the Model Context Protocol to allow agents to connect with external servers and extend their toolsets.
- Parallel Subagent Orchestrators - Provides a framework for spawning and coordinating independent subagents to execute workstreams concurrently via RPC.
- Agent Frameworks - Self-improving agent framework with persistent cross-session memory.
- AI Agents - Self-improving AI agent framework.
- AI Agents and Frameworks - Framework for building scalable and adaptive AI agents.
- AI and Agents - An adaptive AI agent framework that grows with you.
- Autonomous Agents - Self-evolving agent with multi-platform messaging support.
- Autonomous AI Agents - Self-improving personal agent with sandboxed tool execution.
