Shared AI toolkit helpers: config, paths, identity, framing, file transfer
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Project description
CognitKit
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.
Features
- Reasoning utilities
- Planning abstractions
- Decision workflows
- Memory interfaces
- Knowledge integration
- Agent-oriented architecture
- Extensible components
Installation
pip install cognitkit
Requirements
- Python 3.7+ (3.7-3.8 on Windows 7/8; 3.7-3.13 on Windows 10/11)
- Windows 7 / 8 / 8.1 / 10 / 11
Quick Start
from cognitkit import CognitiveEngine
engine = CognitiveEngine()
Use Cases
- AI agents
- Multi-agent systems
- Research assistants
- Intelligent automation
- Workflow orchestration
- Decision support systems
Philosophy
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.
Roadmap
- Long-term memory
- Planning strategies
- Reasoning engines
- Multi-agent coordination
- Cognitive plugins
Contributing
Community contributions are welcome through issues and pull requests.
License
MIT
Release history Release notifications | RSS feed
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