arpitnath/orpheus
Orpheus is an Agent Runtime that solves the 'Silent Failure' of CPU autoscaling. It scales on queue depth, persists memory, and recovers from crashes automatically.
Orpheus helps developers deploy and manage AI agents that need to handle complex, multi-step tasks, process large amounts of data, or remember information across interactions. You provide your agent's code and configuration, and Orpheus automatically scales it based on pending work, maintains its memory, and recovers from crashes. This is ideal for developers building sophisticated AI applications like intelligent assistants, automated data analysis tools, or personalized content generators.
Use this if you are developing AI agents that require persistent memory, real-time scaling based on workload, and robust error recovery, especially when interacting with large language models.
Not ideal if you are deploying simple, stateless functions that don't require persistent memory or dynamic scaling based on queue depth.
Stars
25
Forks
—
Language
Go
License
Apache-2.0
Category
Last pushed
Feb 04, 2026
Commits (30d)
0
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