Multi-Platform Connectivity
Operates across Telegram, Discord, Slack, WhatsApp, Signal, Email, CLI, and growing platforms with a unified memory.
AgentsHermes Agent
By Nous Research
Hermes Agent is a free, open-source AI assistant that runs everywhere with persistent memory, multi-platform chat, automation, and sandboxed subagents.
Hermes Agent is an open-source AI assistant designed to integrate across multiple platforms including Telegram, Discord, Slack, WhatsApp, Signal, Email, and CLI. It acts as a persistent, intelligent assistant that learns from ongoing projects, remembering prior interactions to deliver context-aware support. Its universal presence across devices and platforms means developers can access their personal AI assistant from anywhere with one consistent memory and workflow.
The agent supports natural-language scheduling for automated tasks like reports and backups, and features delegation through isolated subagents that run their own conversations, terminals, and Python RPC scripts. This design facilitates zero-context-cost pipelines and focused automation. Hermes Agent also enables web search, browser automation, multi-model reasoning, image generation, text-to-speech, and a sandboxed experimental environment with container and namespace isolation. With flexible deployment options including desktop apps, terminal installation, and cloud hosting, Hermes Agent supports a robust and secure AI assistant experience geared for developer productivity and automation.
Free under the MIT license, Hermes Agent supports multiple model providers and integrates with the Nous Portal for access to advanced models and hosted services, providing scalable capabilities suitable for individual developers up to enterprise needs.
Operates across Telegram, Discord, Slack, WhatsApp, Signal, Email, CLI, and growing platforms with a unified memory.
Remembers projects and automatically generates skills, maintaining context across sessions.
Enables scheduling of reports, backups, and briefings using natural language commands.
Delegates tasks to subagents with their own conversations and Python RPC scripts for efficient pipelines.
Performs web searches, browser automation, vision, image generation, text-to-speech, and multi-model reasoning.
Supports isolated backends with container hardening and namespace isolation for safe experimentation.
Keeps an ongoing memory of projects and task history for continuity across work sessions.
Allows developers to interact with their AI assistant via popular messaging apps and CLI.
Automates routine tasks like report generation and backups through simple natural-language instructions.
Uses isolated subagents to execute complex task pipelines without manual context switching.
