A sophisticated multi-agent framework featuring specialized AI agents with memory, human-in-the-loop capabilities, and advanced reasoning patterns. Built for complex task automation, interactive decision-making, and intelligent problem-solving.
🧠 Persistent Memory – Each agent maintains short-term and long-term memory for context-aware interactions
👥 Human-in-the-Loop – Seamlessly integrates human approval, feedback, and intervention points
🔍 RAG Agent – Retrieval-Augmented Generation for knowledge-intensive tasks
💻 CodeAct Agent – Executes code, analyzes results, and iterates on solutions
🔄 ReAct Agent – Reason + Act pattern for dynamic tool use and observation
🪞 Reflexion Agent – Learns from past mistakes through verbal self-reflection
📋 Plan-and-Execute Agent – Decomposes complex goals into actionable steps
🌳 Tree-of-Thought Agent – Explores multiple reasoning paths simultaneously