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Reference implementations of the Reasoning and Acting (ReAct) cycle for autonomous agent logic.
Distinct from Implementation Patterns: Distinct from Implementation Patterns: specializes in the iterative reasoning-action cycle specifically for LLM agents.
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This project is an LLM agent framework and orchestration engine designed for building autonomous agents that reason, utilize tools, and execute multi-step plans. It provides a system for implementing the ReAct pattern, which interleaves reasoning and action cycles to solve complex problems through iterative observation and self-correction. The framework includes a tool integration layer that connects language models to external functions and APIs using structured schemas and embedding-based routing. It also features a memory management system to persist conversation history and user preferenc
Implements the ReAct pattern to interleave reasoning and action cycles for iterative problem solving and self-correction.