LinkNousResearchResource
NousResearch provides the open-source ecosystem with versatile, fine-tuned instruction models and publishes accompanying benchmark data for independent verification.
By offering models scaling from 14B to 405B FP8 alongside raw evaluation files, NousResearch supports both resource-constrained self-hosting and high-end experimentation. Their public assets reflect a dual commitment to model weights and empirical research transparency.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Link:Nous Research
Nous Research develops open-source language models and distributed training infrastructure. Its research focuses on model architecture, data synthesis, fine-tuning, and reasoning.
Link:Open LLM Leaderboard Team
The organisation maintaining the Open LLM Leaderboard on Hugging Face provides datasets and benchmarks to track, rank, and evaluate open LLMs and chatbots.
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.
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.
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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.
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.
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