Hermes
Hermes is a self-improving AI Agent platform from Nous Research. It targets personal-assistant use with learning loops, messaging integrations, and Agent Skills Framework support. We rate it hold with Moved Out. Always-on agents that message external systems are hard to secure. The hardening effort often negates the convenience versus a bounded agent in an IDE or scheduled automation you control.
Blurb
The self-improving AI agent built by Nous Research. The only agent with a built-in learning loop , it creates skills from experience, improves them during use, nudges itself to persist knowledge, and builds a deepening model of who you are across sessions.
Summary
Hermes targets the same problem space as OpenClaw: an always-available assistant across chat surfaces (Telegram, Slack, CLI, etc.) with memory, cron-style scheduling, and skill extensibility. It integrates Agent Client Protocol so editors like Obsidian can use the agent via plugins (e.g. obsidian-agent-client). On Apple Silicon, local runs via Ollama with models such as deepseek and qwen are practical.
Originally a credible competitor in the personal-agent wave; our position is that broad tool-and-shell access without tight policy boundaries is unsafe for most setups. Prefer IDE-bound agents (Claude Code, Cursor-class tools) or pipelines that emit reviewable scripts on a schedule.
Details
- Strengths: skill learning loop, multi-channel gateway, Agent Skills Framework portability, ACP for IDE clients, flexible model routing (cloud or Ollama).
- Risks: persistent credentials, messaging exfiltration, autonomous cron/subagent actions, treat as high-trust workload only with explicit sandboxing.
- When hold is OK: isolated experimentation, local-only models, single-user machine with clear data boundaries.
- When to avoid: production secrets on the same host, multi-tenant boxes, or “set and forget” automation without human review.
- Install: upstream documents quick install via
install.shon macOS/Linux; verify signing and update channel before production use.