LinkNous ResearchResource
Instead of acting as a code editor plugin or a simple API wrapper, Hermes Agent functions as an ongoing, persistent companion hosted on low-cost VPS or serverless infrastructure that improves its procedural memory over time.
Developed by the lab behind the Hermes and Nomos models, the tool incorporates research-oriented workflows such as trajectory exports for RL training with Atropos. Its use of programmatic tool execution helps streamline complex multi-step pipelines into single inferences.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
Similar in content, found by the AI search.
Repository:NousResearch/hermes-agent
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.
240.8kstarsPython
Link:Nous Research
Nous Research has introduced Hermes Agent, an autonomous, self-hosted AI agent licensed under MIT. It operates locally or on private servers, maintains cross-session persistent memory, automatically creates reusable skills, and connects to multiple messaging interfaces.
Link:Nous Research
Nous Research has released Hermes Agent v0.21.0 under the MIT licence. The tool serves as an extensible AI agent available across multiple operating systems and messaging channels, featuring persistent memory and isolated execution sandboxes.
Link:Nous Research
Nous Research has published a guide covering Bot Mode in Hermes Agent. The feature enables users to run isolated agent profiles as named, persistent bots that execute recurring routines, expand their own skills, and interact across more than 20 messaging platforms.
Article:hermes-agent.nousresearch.com
Hermes Agent has added Bot Mode to its desktop app, transforming configuration profiles into named, specialized bots with isolated memory, skills, and model settings. Bots operate in persistent canonical chats, run recurring automated routines, and can collaborate across multiple machines in group chats and direct messages.
VideoVideo:Sascha Hoffmann | The Autopilot
Sascha Hoffmann breaks down how to set up and run Nous Research's Hermes Agent. Moving beyond reactive, session-based tools like Claude, he outlines four core pillars—installation, model selection, memory, and capabilities—to build an agentic workforce that operates autonomously around the clock.
Parts of this content were created with the assistance of AI.
