Agentic Solver provides a comprehensive toolkit for developing autonomous AI agents that leverage large language models (LLMs) to tackle real-world problems. It offers components for task decomposition, planning, execution, and result evaluation, enabling agents to break down high-level objectives into sequenced actions. Users can integrate external APIs, custom functions, and memory stores to extend agent capabilities, while built-in logging and retry mechanisms ensure resilience. Written in Python, the framework supports modular pipelines and flexible prompt templates, facilitating rapid experimentation. Whether automating customer support, data analysis, or content generation, Agentic Solver streamlines the end-to-end lifecycle, from initial configuration and tool registration to continuous agent monitoring and performance optimization.