Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
A self-evolving multi-agent AI scientist framework for end-to-end scientific discovery, from idea generation to paper publication.
A Python-based terminal AI programming assistant featuring multi-agent collaboration, cross-session persistent memory, plan-first workflow, and MCP/ACP tool integration.
Secure, isolated microVM sandbox infrastructure for AI agents, powered by Firecracker/QEMU with hardware-level isolation and sub-second startup, supporting safe code execution, browser automation, snapshot state management, and coding agent integration.
An LLM and directed graph-based Python intelligent web/document scraping library supporting natural language-driven structured data extraction.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework.
An LLM-powered personalized diet management platform featuring RAG hybrid retrieval, multi-modal understanding, and nutrition analytics
The agent engineering platform for building context-aware reasoning applications.
An MCP-based AI video editing agent that enables full-pipeline video creation—from material search and script generation to final rendering—through natural language interaction.
A low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful AI Agents.
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