OpenClaw vs. Hermes Agent: The race to build AI assistants that never forget
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Two open-source persistent AI agent projects — OpenClaw and Hermes Agent — are compared as they tackle the problem of context loss between AI coding assistant sessions. OpenClaw (345K+ GitHub stars) prioritizes ecosystem breadth with 50+ messaging integrations, model-agnostic support, and a large community skill marketplace (ClawHub), but has faced serious supply chain security incidents. Hermes Agent (22K stars, from Nous Research) focuses on deep learning over time via FTS5-backed persistent memory, autonomous skill creation, and a self-training loop using the Atropos RL framework. A comparison table helps developers choose based on their needs. Both projects represent an architectural shift from session-bound AI tools toward always-on, stateful agent runtimes, raising open questions about ownership of accumulated agent knowledge.
Table of contents
The always-on agent is a new software categoryOpenClaw and the ecosystem playHermes agent and the research playChoosing between the two approachesWhat’s nextSort: