Hermes Agent

Understand what Hermes Agent is: Nous Research's open-source, self-improving autonomous agent that runs on your own infrastructure, learns reusable skills, and operates unattended across many platforms.

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  Read the official overview: Learn the core idea — a local-first agentic framework that builds a library of skills as it works Hermes Agent Documentation

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  Who builds it — Nous Research: Get context on the lab behind the Hermes model family and the agent framework Nous Research

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  Explore the source on GitHub: Browse the repo, README, and issues to see how the project is structured and where to ask for help NousResearch/hermes-agent

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  Why local-first matters: Understand the data-residency and cost advantages of running agents on your own hardware (no per-token cloud fees, no data leaving your network) Hermes Agent 2026 Guide

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Install the Hermes CLI, run the setup wizard, and launch your first interactive session. Confirm prerequisites (RAM, storage, optional GPU) before you begin.

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  Run the install script: curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash — then verify the hermes command is on your PATH Installation Docs

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  Run the setup wizard: Execute hermes setup to pick a provider and write ~/.hermes/config.yaml; secrets go in ~/.hermes/.env Setup & Configuration

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  Start your first session: Run hermes to open the interactive agent; try a simple task and watch how it plans and calls tools Getting Started (README)

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  Tool-calling is mandatory: Note that models without tool-calling can only chat — they can't edit files or run commands. Review the Hermes function-calling format Hermes-Function-Calling

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Point Hermes at a brain. Choose between the Nous Portal, a direct cloud API (Anthropic, OpenRouter, DeepSeek), or a fully local backend (Ollama, vLLM, llama.cpp, LM Studio). Remember: agentic use needs at least a 64,000-token context window.

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  Option A — Nous Portal (easiest): One OAuth login unlocks 300+ frontier models plus a Tool Gateway (web search, image gen, TTS, browser automation). Run hermes setup --portal Nous Portal Models

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  Option B — Direct cloud API: Add a key to ~/.hermes/.env (e.g. ANTHROPIC_API_KEY, OPENROUTER_API_KEY, DEEPSEEK_API_KEY). Claude Sonnet 4.6 is the strongest tool-caller; DeepSeek is the budget pick AI Providers Reference

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  Option C — Local with Ollama (zero API cost): Install Ollama, pull a tool-capable model, and set provider: custom with base_url: http://localhost:11434/v1 and context_length: 64000 Run Hermes Locally with Ollama

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  Option D — High-performance GPU with vLLM: Serve a model with --enable-auto-tool-choice --tool-call-parser hermes; for llama.cpp add --jinja so tool calls parse correctly vLLM Tool Calling Docs

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Learn what makes Hermes distinctive: it turns completed tasks into reusable skills, keeps persistent memory across sessions, self-optimizes its tool-use prompts, and speaks the Model Context Protocol as both client and server.

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  The Skills system: As Hermes completes tasks it builds a library of reusable skills and benchmarks its own tool-use guidance. Learn how to inspect and curate them Skills Documentation

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  Persistent memory: Memory files store user context and conversation history locally; backends are pluggable so you can wire in a vector database or external store Memory & Config (repo)

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  MCP integration (both directions): Hermes can act as an MCP client and an MCP server, so it plugs into Claude and other frameworks and exposes its own tools. Learn the protocol Model Context Protocol

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  Tune context for local models: Default context windows are too small for agent loops. Build a larger-context Modelfile (e.g. num_ctx 64000) and keep the model warm with keep_alive Ollama × Hermes Integration

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Take Hermes from your terminal to always-on bots. Connect it to messaging platforms (Telegram, Slack, Discord, Signal, Teams and more), run it as a persistent gateway, and tune it for unattended operation.

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  Pick your channels: Hermes runs across 16+ communication channels including Slack, Discord, Teams, Signal, WeChat and iMessage — deploy into the tools your team already uses Platforms Documentation

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  Stand up a gateway bot: Add a platform block to ~/.hermes/config.yaml (e.g. a Telegram token), then launch with hermes gateway Gateway Bots Guide

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  Tune for unattended runs: Keep the model loaded (keep_alive: 24h) and raise HERMES_API_TIMEOUT for slow CPU-only hosts so long agent loops don't time out Operational Tips & Issues

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  Multiple agents on one host: Use the profiles system to run separate agent instances for different departments or clients on shared infrastructure Profiles & Multi-Agent

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See where Hermes earns its keep: autonomous multi-agent code pipelines, self-healing watchdogs, air-gapped compliance deployments, and on-prem IT support — all running unattended on your own hardware.

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  Multi-agent code pipelines: A main agent delegates to specialized agents for planning, implementation, testing, and repair — shipping changes without human intervention 10 Real-World Hermes Use Cases

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  Watchdog & self-healing: Hermes monitors another agent's output and automatically fixes failures — a resilience pattern for long-running automation Best Models for Hermes Agent

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  Air-gapped compliance workflows: Because Hermes runs entirely on local infrastructure, it suits HIPAA, CMMC or CJIS environments where sensitive data cannot leave the network Compliance Deployment Guide

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  On-prem IT support & ops: A local agent handles infrastructure tasks, knowledge-base retrieval, and incident response with no cloud reliance — then plan your own first deployment Hermes Desktop App Walkthrough

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