AI Agent Framework

AI Agent Framework Build production-grade multi-agent systems that can reason, plan, use tools, and collaborate. This framework provides battle-tested patterns for orchestrating LLM-powered agents — from simple single-agent tool callers to complex multi-agent workflows with human oversight. Stop reinventing agent infrastructure and focus on your domain logic. Key Features Multi-Agent Orchestration — Route tasks between specialized agents with configurable delegation strategies (round-robin, capability-based, auction) Tool Calling Engine — Register Python functions as tools with automatic schema generation, input validation, and retry logic Persistent Memory — Short-term conversation buffers and long-term vector-backed memory with configurable retention policies Planning Loops — ReAct, Plan-and-Execute, and Tree-of-Thought planning patterns with step-level observability Human-in-the-Loop Gates — Configurable approval checkpoints before high-risk actions (API calls, data mutations, exter