Hermes Agent launches self-improving agent platform
Nous Research has open-sourced Hermes Agent, a persistent AI agent that creates and improves skills from experience, keeps long-term memory across sessions, and runs through a CLI or messaging apps. It stands out from typical coding copilots by being model-agnostic, cloud-friendly, and designed to keep getting better the longer it runs.
Hermes Agent is a serious attempt to turn the “personal AI agent” pitch into infrastructure instead of demoware.
- –The built-in learning loop is the real differentiator: autonomous skill creation, self-improving skills, and cross-session recall push it beyond one-shot prompt wrappers.
- –It is unusually deployment-minded for an open-source agent project, with support for cheap VPS setups, serverless backends like Modal and Daytona, and messaging gateways spanning Telegram, Discord, Slack, and WhatsApp.
- –Model portability matters: Hermes works with Nous Portal, OpenRouter, OpenAI, and custom endpoints, which makes it more appealing to developers trying to avoid hard vendor lock-in.
- –MCP support, cron scheduling, and subagent parallelism position it as both a personal assistant and a programmable automation runtime for power users.
- –The risk is complexity: projects aiming to be agent shell, memory layer, automation engine, and research platform at once can become powerful fast, but also harder to operate reliably than narrower tools.
DISCOVERED
79d ago
2026-03-09
PUBLISHED
79d ago
2026-03-09
RELEVANCE