Migrate from OpenClaw

Original Article ↗ Hacker News Discussion ↗

Concerns and Controversies Around Hermes / NousResearch

  • Several comments reference a plagiarism/similarity accusation between Hermes Agent and another open-source agent system.
  • One side sees it as a serious “debacle”: original GitHub issue text was replaced with a single character, comments were deleted, and users blocked, which is viewed as evasive and unprofessional.
  • Others argue the claims are weak: core ideas (memory, skills, evolution of agents) are generic and widely implemented, with no concrete code-level evidence presented.
  • There is mention of Hermes default installs previously routing web search through a specific provider; critics disliked the communication and perceived data-leak risk. Supporters say it was just a free default search provider that was removed once criticized.
  • Broader discussion touches on AI, copyright, and how trivial copying may erode traditional IP norms; some see this as ethically troubling but practically inevitable.

Hermes vs OpenClaw (and Similar Agents)

  • Hermes is described as more polished, focused, and friendlier for less-technical users.
  • OpenClaw is seen as more powerful and deeper, but also messy, unreliable, and hard to configure. Some report broken onboarding, confusing UI, and frequent failures; others say it works well for them and has strong CLI onboarding, especially for non-technical users.
  • Some feel Hermes ships with too many pre-enabled “skills,” wasting context and adding clutter; recent cleanup efforts are acknowledged but not universally convincing.

Use Cases and Reported Successes

  • Reported real-world uses include:
    • Lead generation and outreach pipelines.
    • Company data access for nontechnical staff via Slack, with connections to analytics and billing systems.
    • Personal automations: email triage, spam filtering, web monitoring, notifications, ticket/PR workflows, and follow-up nudging.

Skepticism About “Agentic” Systems

  • Many participants struggle to find compelling use cases beyond what cron jobs, scripts, and dedicated coding agents already do.
  • Some view OpenClaw and similar tools as toys, “larping,” or hype vehicles for technophiles and influencers, with unclear economic value for end users.
  • A recurring theme: anyone with a serious, well-understood use case often ends up building a custom, slimmer harness (e.g., simple LLM + memory + tooling) instead of relying on large, general-purpose agent frameworks.