DeepReinforce Launches Ornith, Open-Source AI Coding Model for Agents
DeepReinforce unveiled Ornith-1.0 on June 25, 2026, an open-source coding model designed specifically for AI agents rather than human users, as reported by Decrypt. The model is available in various sizes and excels in automating coding tasks within development workflows.

DeepReinforce introduced Ornith-1.0 on June 25, 2026, a family of open-source coding models ideal for AI agents working within software development environments. Available on Hugging Face, the Ornith models come in several sizes: 9 billion, 31 billion, and a flagship 397 billion parameters. The initial release is under the MIT license and does not have regional restrictions.
Unlike typical AI systems that engage in conversational exchanges, Ornith is designed to autonomously handle programming tasks. This means it can read files, run tests, troubleshoot issues, and fix code—all without requiring continuous human supervision. The 9-billion-parameter version, considered small, is capable enough for mobile devices but may not perform well on complex reasoning tasks. In contrast, the flagship 397 billion version demands significant computational resources.
The model's performance is notable, achieving a score of 69.4 on SWE-bench Verified, significantly outperforming Google's Gemma 4-31B, which scored only 52.0. However, the developers caution that Ornith may underperform in tasks outside of coding, indicating that the models are tailored to developer needs rather than general AI applications.
DeepReinforce's prior releases, including CUDA-L1 and the IterX optimization loop for coding agents, set a foundation for this new project. The push for AI models that can autonomously engage in extended development processes reflects current trends in AI innovation.
As the demand for self-sufficient coding AI increases, tracking the evolution and performance of Ornith may provide insights into the future landscape of software development and the role of automated agents.
Summary based on original reporting by Jose Antonio Lanz at Decrypt, originally published Jun 29, 2026. SolanaWire does not republish source content.

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