Build Production-Ready AI Agents

    Open-source, scalable AI agent framework with memory, interactivity & automatic RAG.

    Self-Learning

    Continuously improve over time by learning from interactions with your users, adapting to new information, and refining responses autonomously.

    Proactive

    AI agents can dynamically engage with users during a session. If more information is needed, the framework enables the agent to ask follow-up questions in real time, ensuring precise and relevant responses.

    Automatic Context Compilation

    Every conversation gets an optimized context consists of user facts, past discussions, and historical knowledge, ensuring personalized and coherent responses.

    Memory (zep/mem0)

    Every conversation is being fed into the memory layer and then used for context optimization. Agents never forgets

    Automated RAG for Business & Knowledge Bases

    Automatically retrieve relevant information from business data and expert-curated knowledge bases, ensuring accurate responses.

    Hierarchical Tools

    Organize hundreds of tools efficiently using a structured hierarchy, preventing LLM overload while enhancing usability.