A modern C++ framework for building intelligent agents with human-inspired memory systems and cognitive architectures.
Gloom is a sophisticated toolkit designed for researchers and developers working on artificial intelligence systems that require human-like memory capabilities. It provides a robust foundation for building agents that can form, retain, and recall memories in ways that mirror human cognitive processes.
- Episodic Memory: Store and retrieve temporal sequences of experiences
- Semantic Memory: Represent and query conceptual knowledge
- Memory Management: Smart retention and pruning based on importance
- Modular design for flexible agent construction
- Built-in planning and decision-making systems
- Environment abstraction layer for versatile deployment
- Thread-safe operations
- Modern C++ design (C++17)
- High-performance implementations
- Comprehensive memory management
- Flexible query systems
Gloom is built on three core principles:
- Cognitive Plausibility: Memory systems inspired by human cognition
- Performance: Optimized for real-world applications
- Flexibility: Modular design for custom implementations
See our Documentation for:
- Installation guide
- Quick start tutorial
- API reference
- Example projects
- Best practices
Currently in active development. Core features are stable, but API may evolve before v1.0 release.
- Research in cognitive architectures
- Intelligent agent development
- Machine learning systems
- Knowledge representation
- Decision-making systems
We welcome contributions! See our Contributing Guide for details on:
- Code style
- Development process
- Pull request procedure
- Community guidelines
MIT License - See LICENSE for details
Developed with insights from:
- Cognitive science research
- Modern AI architectures
- Memory system theory
- Agent-based systems
- Maintainer: Gloom Team
- Email: team@askgloom.com
- X: @use_gloom