Soar is a general cognitive architecture for building systems that exhibit intelligent behavior.
Soar is an open-source cognitive architecture designed to develop systems capable of intelligent behavior. It provides a framework for building complex decision-making agents that can simulate human-like reasoning and learning. The architecture supports a wide range of applications, including robotics, AI research, and autonomous systems development. Soar aims to enable developers to create adaptive, reactive, and goal-driven software agents.
The core of Soar is implemented in C++ and is available under a BSD license, making it accessible for academic and commercial use. It includes tools for building, testing, and deploying cognitive agents, with performance optimized to meet real-time decision-making requirements. Soar's design emphasizes modularity and extensibility, allowing integration with other systems and custom extensions.
What sets Soar apart is its long-standing research foundation and proven performance in cognitive modeling. It achieves decision cycle times well below its 50 millisecond target in worst-case scenarios, supporting responsive agent behavior. Developers can access official binary releases and nightly builds for multiple platforms. Comprehensive documentation and community resources are available to facilitate onboarding and development. To get started, users can download prebuilt binaries or build from source, then follow the documentation to create and run cognitive agents.
Developing systems that exhibit intelligent, adaptive behavior requires a robust architecture capable of real-time decision-making and learning. Many existing frameworks lack the performance or flexibility needed for complex cognitive tasks.
Official releases and nightly builds support multiple platforms for easy deployment.
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| Price (Monthly) | Free |
| Price (Annual) | Free |
| Messaging | N/A |
| Support | Community support via GitHub |
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Reliable RPC, powerful APIs, and zero hassle.
Soar provides extensive resources including official releases, nightly builds, performance metrics, and detailed documentation to support developers and researchers.
Automated performance tests and detailed metrics available to track and optimize agent behavior.
Extensive docs and examples facilitate learning and development with Soar.
Developers use Soar to build cognitive control systems for robots that require adaptive decision-making in dynamic environments.
Researchers implement human-like reasoning models and test cognitive theories using Soar's architecture.
Soar is used to create agents in simulations and games that exhibit complex, goal-driven behaviors.
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