Index / Hermes Agent · updated Sep 3, 2026
Hermes Agent
NousResearch/hermes-agent · healthy · rank 2 of 43 by stars
A self-improving, always-on agent from Nous Research with a built-in learning loop that creates and refines skills from experience. It positions itself as the closest direct competitor to OpenClaw, with multi-platform messaging gateways and cross-session memory.
Facts
Repository
Runtime
Posture
Community
Security breakdown
Composite 72 / 100 · how these are scored
higher is safer
higher is safer
higher is safer
higher is safer
higher is riskier
Model access
Read from the repository, not written by a model · 111 files examined
10 providers · runs locally · gateway support
Pinned models
claude-opus-4.6 released 2026-02-04 — 7 months old (from the public model catalogue)
Pin last edited 3 days ago
Several defaults are pinned; the project picks one per provider rather than shipping a single default.
Evidence
Decision
Why choose Hermes Agent over OpenClaw?
Why choose this
- Built-in learning loop with autonomous skill creation and self-improvement
- Honcho dialectic user modeling and FTS5 session search for deep recall
- Broad messaging gateway support (Telegram, Discord, Slack, WhatsApp, Signal)
Tradeoffs
- Heavier Python runtime footprint than leaner OpenClaw deployments
- Untrusted-input pairing and hardening story less emphasized than OpenClaw's
- Large feature surface increases operational complexity
Best fit
- Users wanting an always-on agent reachable via Telegram/Discord/Slack
- Self-hosters who want persistent cross-session memory and skill learning
- Tinkerers who want model-agnostic providers with no lock-in
Avoid if
- You need strict sandboxing of tool/shell execution
- You want a minimal, low-complexity single-purpose agent
- You are unwilling to manage a long-running gateway process
Strong evidence from an active README, frequent recent commits, a recent release, and substantial Reddit/web discussion. Security posture details are inferred rather than explicitly documented, so those scores carry moderate uncertainty.
AI layer reviewed Aug 24, 2026 · how this is written
Star activity
240,625 stars today
Overview
Hermes Agent is Nous Research's flagship open-source, self-improving AI agent and the closest direct competitor to OpenClaw. Its defining feature is a closed learning loop: it autonomously creates skills after complex tasks, improves them during use, nudges itself to persist knowledge, and searches past conversations via FTS5 with LLM summarization for cross-session recall. It also integrates Honcho for dialectic user modeling and supports the agentskills.io open standard.
Architecturally, it runs as a gateway process reachable from Telegram, Discord, Slack, WhatsApp, Signal, and CLI, with a full TUI featuring multiline editing, slash-command autocomplete, and streaming tool output. It is model-agnostic — Nous Portal, OpenRouter, OpenAI, or custom endpoints — switchable via hermes model. Recent commits show active hardening of the WebSocket gateway (heartbeat contracts, bounded reconnect, socket leases for group-chat turns) and cron liveness surfacing, indicating a mature, actively maintained codebase. It even ships an OpenClaw migration command (hermes claw migrate), explicitly courting OpenClaw users.
Compared to OpenClaw, Hermes leans harder into memory, skill self-improvement, and multi-platform presence, while OpenClaw emphasizes a tighter untrusted-input security posture. Hermes runs anywhere from a $5 VPS to GPU clusters or serverless, making it flexible but operationally heavier than minimal agent setups.