AI For Dev

hermes-agent

2 min read

Hermes Agent

An open-source AI agent framework by Nouse Research. Positioned as an alternative to OpenClaw with a distinctive feature: a built-in closed learning loop that enables the agent to self-improve over time.

What It Is

Not just a coding agent or assistant. Hermes is described as an entire framework — closer to an operating system for a personal AI agent. Similar scope to OpenClaw (full agent framework, not just a chat interface).

Self-Improving Loop

The core differentiator. Hermes describes itself as “the only agent with a built-in learning loop”:

  • Closed learning loop: Agent learns from past interactions
  • Agent-curated memory: Periodic nudges to persist knowledge
  • Autonomous skill creation: After completing complex tasks, creates reusable skills
  • Skills self-improve during use: Existing skills get refined as the agent uses them
  • Searches its own past conversations: Builds a deepening model of the user across sessions

This pattern was inspired by Andrej Karpathy’s auto-research project, which demonstrated self-improving loops.

Features

  • Terminal UI (TUI): Multi-line editing, command autocomplete, conversation history, interrupt and redirect, streaming tool output
  • Multi-chat gateway: Single gateway for Telegram, Discord, Slack, WhatsApp, Signal, and CLI
  • Scheduler/cron: Autonomous scheduled tasks
  • Sub-agent delegation: Parallel sub-agent execution
  • Flexible deployment: Local, cloud, or hybrid
  • OpenClaw migration path: Import existing OpenClaw workflows and memories without starting from scratch

Adoption

~12,000 GitHub stars within days of launch (as of March 2026).

Comparison to OpenClaw

Similar scope and interface (both provide multi-chat gateway, sub-agent support, scheduler). Key difference: Hermes adds the self-improving loop. OpenClaw migration is supported.

See Also

Graph View

Backlinks