Observed since 20 Oct, 18:41 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 20 Apr 2026 | 0 |
This describes our collected data; it is not a security assessment.
Shared repository data · GitHub
Observed since 20 Oct, 18:41 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:cc7dd8d89900f16398dfc6195d8c3251a54bd7b56e15039e1da63f050593c80f