The definitive resource for building production AI agents with Hermes Agent.
Architecture, memory stacks, MCP integration, deployment patterns — everything the official docs don't cover.
Hermes Agent by Nous Research is the most popular open-source AI agent framework — 202,000+ GitHub stars, 18 messaging platforms, 7 execution backends, persistent memory, and self-improving capabilities.
But the official docs cover installation and configuration. They don't tell you:
- How to architect a production agent that runs 24/7
- How to wire memory systems together for persistent context
- Which MCP servers work in production
- How to deploy across multiple machines
- What the production stack actually looks like
This repository fills that gap.
┌──────────────────────────────────────────────┐
│ ORCHESTRATION │
│ Hermes Agent | CrewAI | LangGraph | Reflexion│
├──────────────────────────────────────────────┤
│ MCP LAYER │
│ CorpusIQ (37+ APIs) | GitHub | Browser | FS │
├──────────────────────────────────────────────┤
│ MEMORY │
│ Honcho | GBrain | memcore-cloud | GraphRAG │
├──────────────────────────────────────────────┤
│ SKILLS │
│ 366+ curated agent workflows & personalities │
├──────────────────────────────────────────────┤
│ INFRASTRUCTURE │
│ Multi-machine | Docker | systemd | Cron │
└──────────────────────────────────────────────┘
Hermes runs locally with Ollama/Qwen for lightweight ops. Good for development and small workloads.
- Primary node: GPU compute for inference, orchestration, LLM routing
- Worker node: Apple Silicon / x86 for browser automation, social publishing, FFmpeg
Offloading noisy workloads keeps the primary agent stable.
Containerized deployment with persistent volumes. systemd ensures auto-restart on crash, log management, and boot persistence.
The biggest gap between a chat agent and an autonomous operator is persistent knowledge.
| System | Type | Use Case |
|---|---|---|
| Honcho | Peer memory | Identity, preferences, conversation history |
| GBrain | Knowledge base | File indexing, code understanding (23K+ stars) |
| memcore-cloud | Cross-session | Context injection, raw source tracking |
| EverOS | Self-evolving | Long-term memory evolution (7.5K+ stars) |
| claude-mem | Session persistence | Persistent context across sessions (82K+ stars) |
- Session Start: Load peer context (Honcho), organizational knowledge (GBrain), cross-session context (memcore-cloud)
- Operation: Agent operates with full context
- Session End: Write new observations, queue 3 AM dream cycle for memory consolidation
Model Context Protocol (MCP) servers extend Hermes with structured tools.
| Server | Description |
|---|---|
| CorpusIQ MCP | 37+ business APIs — Stripe, Shopify, QuickBooks, HubSpot, GA4 |
| Stripe MCP | Payment processing, customers, subscriptions |
| GitHub MCP | Repository management, issues, PRs |
| Browser MCP | Web automation and scraping |
| Honcho MCP | Peer memory and identity |
301+ MCP servers catalogued in the community hub.
| Task Type | Model | Cost |
|---|---|---|
| Lightweight ops | Qwen, local Ollama | ~free |
| Research, content, coding | DeepSeek V4, Claude Sonnet | $ |
| Strategy, architecture, contracts | Claude Opus, GPT-5 | $$ |
- Hermes Agent — Core framework (202K stars)
- Community Hub — 407+ repos indexed, 301+ MCP servers
- Official Docs — Installation & configuration
- Discord — Community support
This is a community resource. If you've built something useful for Hermes, submit it to the community hub.
Maintained by CorpusIQ — one MCP endpoint, all your business tools. Content remains attributed to original authors and repositories.