Hermes Agent: Self-Improving Open Source AI Agent by Nous Research

RepositoryNousResearch/hermes-agentTool

Hermes Agent is a cross-platform, self-improving AI agent designed with an autonomous learning loop, cross-session memory, and integration into multiple messaging platforms and terminal interfaces.

Key points

  1. Automatically creates and refines reusable skills after completing complex tasks.
  2. Features FTS5 session search, agent-curated memory, and Honcho user modeling for cross-session continuity.
  3. Supports interchangeable model providers including Nous Portal, OpenRouter, OpenAI, and custom endpoints.
  4. Operates across Telegram, Discord, Slack, WhatsApp, Signal, and a full-featured terminal UI from a single gateway.
  5. Runs on modest $5 virtual private servers, GPU clusters, or serverless infrastructure.

Why it matters

Most AI agents operate statelessly, losing context and learned procedures across sessions. Hermes Agent tackles this limitation with an integrated persistence loop and open-standard skill framework while avoiding vendor lock-in.

Analysis

Nous Research positions Hermes Agent as an autonomous personal assistant capable of running decoupled on remote infrastructure while remaining reachable via common chat tools. By adhering to the agentskills.io standard and supporting local or cloud endpoints, it solves vendor lock-in and session amnesia. With over 240,000 GitHub stars and extensive provider integrations, the project shows substantial adoption and mature architectural choices suited for developers and power users who require reliable, long-running agent workflows.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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