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This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services

This project is a comprehensive Lisp AI implementation library that provides reference implementations for various artificial intelligence paradigms and symbolic algorithms. It functions as a multi-purpose toolkit containing a logic programming engine, a natural language processing suite, and a symbolic mathematics toolkit. The library is distinguished by its diverse architectural frameworks, including a Prolog-style execution engine that uses unification and goal-driven backtracking, and a system for simulating human decision-making through expert system shells and certainty factors. It also

Seneca is a message-driven architecture framework and microservices toolkit for Node.js. It functions as a distributed task orchestrator and pattern-based message router, allowing developers to build systems of decoupled services that communicate via a message bus. The framework distinguishes itself through a modular plugin system that organizes business logic into reusable, configurable modules. It supports dynamic action extensions, enabling new handlers to wrap or override existing action patterns to inject custom logic without modifying original code. The system covers a broad range of c