Hermes
the self-learning AI employee
A permanent digital colleague: Hermes learns from mistakes, optimizes prompts autonomously, and integrates seamlessly via Slack, Telegram, and MCP.
Plan · tools · execution How Hermes Acts as an AI Colleague
The step towards a learning digital specialist. Hermes is not a static bot, but an evolutionary agent that continuously improves and adapts in daily operations.
The 3 Technical Pillars & Data Sovereignty
🔄 Self-Optimization (GEPA & DSPy)
The agent continuously optimizes its system prompts and codebase based on actual execution data. Through evolutionary mutations (GEPA), it independently learns better execution paths.
💾 SQLite/FTS5 Memory
A cross-session, indexed long-term memory ensures precise context recapitulation. Hermes remembers agreements and tasks over weeks – without high latency.
🔌 MCP & Tool Connectivity
Via the Model Context Protocol (MCP), Hermes securely accesses databases, filesystems, or APIs. It integrates seamlessly into Slack, Telegram, WhatsApp, and Signal.
🛡️ 100% Data Sovereignty
Thanks to its model-agnostic architecture, Hermes runs completely locally and GDPR-compliantly on your own servers with open-source models like Llama 3.1 or Qwen 2.5.
Six evolutionary strengths.
Maximum sovereignty, continuous learning, and universal deployment.
Self-optimization
Mutates system prompts and code in the background for better execution.
SQLite/FTS5 Memory
Cross-session memory for precise context recapitulation.
MCP support
Connects to databases and repositories via Model Context Protocol.
Messenger connection
Seamless integration into Slack, Telegram, WhatsApp, and Signal.
Full Data Sovereignty
Can be operated 100% on-premises using open-source models.
Sub-agent delegation
Instantiates specialized agents for coordinated task execution.
Your path to a self-learning agent.
In just a few steps to a permanent AI specialist.
Architecture planning
We define the target channel (Slack, Telegram) and required integrations.
Memory & MCP setup
Connection of SQLite, FTS5, and relevant databases via MCP.
Learning & validation rules
Defining fitness criteria for GEPA prompt optimization.
Sandboxed testing
Simulating real-world processes and automated prompt tuning.
Rollout & autonomy
Hermes takes over the live channel with continuous self-improvement.
Articles on Hermes.
Deep-dives into the technological foundation by Nous Research.
Ready for evolutionary AI processes?
We show you live how Hermes learns independently and resolves errors.