cognikit
Advanced tools
Cognitive building blocks for intelligent AI systems.
CognitKit provides reusable components for building AI systems capable of reasoning, planning, decision making, and orchestrating complex workflows.
Instead of focusing solely on language generation, CognitKit aims to support higher-level cognitive capabilities that enable more structured and autonomous behavior.
pip install cognitkit
from cognitkit import CognitiveEngine
engine = CognitiveEngine()
CognitKit promotes modular cognitive components that can be combined to build increasingly capable AI applications without locking developers into a particular framework or model provider.
Community contributions are welcome through issues and pull requests.
MIT
FAQs
Shared AI toolkit helpers: config, paths, identity, framing, file transfer
The pypi package cognikit receives a total of 0 weekly downloads. As such, cognikit popularity was classified as not popular.
We found that cognikit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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