Observed since 20 Oct, 18:41 UTC
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actualization-harbor
Agent-agnostic training harbor — detect model, adapt flow state, any agent can dock
Agent-agnostic training harbor. The harbor doesn't care what kind of ship you are — it adjusts the channel depth to fit your hull.
Any agent can dock, get assessed, receive adapted training flow, and depart more capable. Detects model type, context window, capabilities, and preferred tempo. Generates adaptations automatically.
from actualization_harbor import ActualizationHarbor
harbor = ActualizationHarbor()
harbor.register("jetson-agent", model_type="llm-7b", context_window=4096,
capabilities=["edge", "cuda"])
harbor.enter("jetson-agent")
adaptations = harbor.assess("jetson-agent")
harbor.train("jetson-agent")
harbor.integrate("jetson-agent")
harbor.depart("jetson-agent")
Zero deps. pip install actualization-harbor
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Declarations describe requirements; they are not a resolved dependency graph.
bdist_wheel · 3.66 KB · Python py3
sdist · 3.43 KB · Python source
Shared repository data · GitHub
Observed since 20 Oct, 18:41 UTC
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package_version:f9ccfdb0d754aae3fafd98cc8eba5bcab28cce1d6939844f02bfa0b4d1aef145