Repositoryornith-ai/Ornith-1Tool
Leading models for agentic reasoning often rely on proprietary access and regional restrictions. Ornith delivers open weights under a permissive MIT license, showcasing self-improving training routines where the model iteratively adapts its own scaffolding.
The project tackles the limitation of manual scaffold engineering for autonomous agents. By pairing reinforcement learning with self-scaffolding and synthetic task generation, Ornith enables models to refine their problem-solving execution paths. It is tailored for AI researchers, agent developers, and enterprises requiring open foundation models. In terms of maturity, the presence of two architectural iterations, published weights up to 397B, and over 2,000 GitHub stars reflects an active, advanced research release, while still evolving as an applied ecosystem.
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:deep-reinforce.com
Ornith-1.0 is an open-source model family tailored for agentic coding, spanning parameter sizes from 9B to 397B. Built on Gemma 4 and Qwen 3.5, the architecture trains models to jointly generate both code solutions and the task-specific scaffolds directing them.
Link:ornith-ai
ornith-ai has released Ornith-1.5-397B, an open-source multimodal mixture-of-experts model under the MIT licence. With 397 billion parameters and an end-to-end self-improvement loop, it delivers coding and reasoning benchmark performance comparable to top proprietary models.
Article:Luis Chavez-Mattos
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Link:huggingface.co
Ornith-1.0 ist eine Sammlung von Open-Source-Sprachmodellen, die speziell für agentenbasierte Programmieraufgaben entwickelt wurden. Die Kollektion umfasst verschiedene Varianten, darunter das Modell Ornith 1.0 9B, das für logikbasierte Unterstützung bei der Softwareentwicklung optimiert ist.
Link:inclusionAI
inclusionAI has released Ring-2.6-1T, a trillion-parameter reasoning model under the MIT licence. It is designed for multi-step agent tasks, offering adjustable reasoning intensity and asynchronous RL training.
Repository:PrimeIntellect-ai/prime-agent
Prime Agent is an open-source coding and research agent designed for complex and long-running autonomous workflows. It combines a Recursive Language Model (RLM) architecture with a Continual Harness to manage context programmatically and persist learned skills across sessions.
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