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hermes-agent

by NousResearch250.4kPythonUpdated 2026-10-01

The agent that grows with you

Hermes Agent is a self-improving AI agent framework developed by Nous Research that features a built-in learning loop for creating and refining skills from experience. The agent maintains persistent memory across sessions, supports deployment on various infrastructure from VPS to serverless environments, and works with multiple LLM providers including Nous Portal, OpenRouter, and OpenAI. It offers multi-platform messaging integration (Telegram, Discord, Slack, WhatsApp, Signal), scheduled task automation, and can spawn parallel subagents for complex workflows.

Key Features

Autonomous skill creation and self-improvement during use with agentskills.io standard compatibility
Cross-session memory with FTS5 search, LLM summarization, and Honcho dialectic user modeling
Multi-platform gateway supporting Telegram, Discord, Slack, WhatsApp, Signal, and CLI with voice transcription
Seven terminal backends including local, Docker, SSH, Modal, and Daytona with serverless hibernation
Built-in cron scheduler for unattended automations with natural language task definition
MCP server integration for extending capabilities with any Model Context Protocol server
Parallel subagent spawning and Python RPC scripting for zero-context-cost multi-step pipelines
Provider-agnostic model switching supporting 300+ models through Nous Portal or custom endpoints

Use Cases

  • 01Running scheduled daily reports, nightly backups, or weekly audits delivered to any messaging platform
  • 02Deploying cost-effective serverless AI agents that hibernate when idle on Modal or Daytona infrastructure
  • 03Managing complex workflows through parallel subagents working on isolated workstreams simultaneously
  • 04Building persistent AI assistants accessible across Telegram, Discord, and other platforms with shared conversation history
  • 05Conducting AI research with batch trajectory generation and compression for training tool-calling models
  • 06Creating self-improving automation workflows that learn from experience and refine skills over time

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hermes-agent — FAQ

What is Hermes Agent?+

Hermes Agent is a self-improving AI agent framework by Nous Research with a built-in learning loop that creates skills from experience, maintains persistent memory across sessions, and can be deployed on infrastructure ranging from $5 VPS instances to serverless cloud platforms.

How do I install Hermes Agent?+

On Linux, macOS, or WSL2, run 'curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash'. On native Windows PowerShell, use 'iex (irm https://hermes-agent.nousresearch.com/install.ps1)'. After installation, run 'source ~/.bashrc' and then 'hermes' to start chatting.

What LLM providers does Hermes Agent support?+

Hermes Agent works with Nous Portal (300+ models), OpenRouter, OpenAI, Anthropic, and custom endpoints. You can switch providers anytime using 'hermes model' without code changes or lock-in.

Do I need API keys to use Hermes Agent?+

You need API keys for your chosen LLM provider and optional tool services. Nous Portal consolidates multiple services (models, web search, image generation, TTS, cloud browser) under one subscription to avoid managing separate API keys for each service.

Is Hermes Agent free and open source?+

Yes, Hermes Agent is released under the MIT license and is completely free and open source. You only pay for the LLM provider and infrastructure you choose to run it on.

Which messaging platforms work with Hermes Agent?+

Hermes Agent supports Telegram, Discord, Slack, WhatsApp, Signal, and email through its messaging gateway. You run 'hermes gateway setup' and 'hermes gateway start' to enable multi-platform access with shared conversation continuity.

How do I install hermes-agent?+

Open the source repository on GitHub and follow its README. hermes-agent is a agent — MCP Agents Market links you directly to the official repo.

Is hermes-agent free?+

hermes-agent is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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