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Hermes Agent

The self-improving AI agent that builds skills from every conversation

PriceOpen SourceReviewed2026-04-12

Expert verdict

Ship

3-1
3 Ships1 Skips
Visit github.com

The Panel's Take

Hermes Agent is Nous Research's open-source AI agent platform built around a radical idea: agents should get better the more you use them. Unlike static assistants that start fresh every session, Hermes creates a closed-loop learning system — it builds skills from experience, refines them during use, persists knowledge across conversations, and searches its own history to apply what it's already learned. The v0.8.0 release (April 8, 2026) ships with 40+ built-in tools, a skills system for procedural memory, persistent user profiles, and scheduled automation via cron. Interfaces include a terminal UI plus native connectors for Telegram, Discord, Slack, WhatsApp, and Signal. It runs across six execution backends — local, Docker, SSH, Daytona, Singularity, and Modal — meaning it scales from a $5 VPS to a full GPU cluster without rewriting your setup. The agent supports OpenRouter, OpenAI, Anthropic, and other LLM providers interchangeably. Builders migrating from OpenClaw (the predecessor project) get a smooth upgrade path. With 6,400+ GitHub stars on trending today, Hermes represents what the community has been asking for: a production-grade, self-hosted agent that compounds its usefulness over time rather than resetting to zero.

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Hermes Agent verdict: SHIP 🚀

3 ships · 1 skip from the expert panel

Full review: shiporskip.io/tool/hermes-agent-nousresearch-self-improving-skills-multiplatform-2026

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Ship · 7.5/10
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The reviews

The skills-from-experience loop is the feature I've wanted from every agent platform. Add in multi-backend support from local to Modal and you have something genuinely deployable in real infrastructure, not just a weekend demo.

Helpful?

A self-improving agent sounds exciting until you realize 'skills from experience' can also mean confidently learning bad habits. The lack of a skill audit or rollback mechanism means you could spend weeks debugging subtle behavioral drift without knowing where it started.

Helpful?

This is the architecture the 'AI coworker' narrative has been promising. When an agent remembers how YOU work and refines its approach across months of use, we stop talking about AI tools and start talking about AI colleagues. Hermes is early proof that this is buildable today.

Helpful?

The multi-channel interface (Telegram, Slack, WhatsApp, Discord) means I can have the same persistent agent follow me across every platform I actually use. The cron-based automation means it can handle recurring content tasks without me re-explaining context each time.

Helpful?

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