A visual command center for the OpenClaw ecosystem, providing real-time agent/subagent monitoring, timeline debugging, alert management, and multi-agent orchestration. Built with React 19 + Vite 7, featuring SSE streaming updates and configurable isometric office layouts.
A grounded orchestration framework for multi-agent collaboration on financial tasks leveraging the OSWorld environment, featuring Orchestrator-Worker dual-agent architecture with support for local database queries, GitHub integration, and financial data aggregation.
A zero-dependency local dashboard for OpenClaw AI agents, featuring cost tracking, session monitoring, cron management, and AI-powered natural language queries.
A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.
Official MCP server for StarRocks, enabling AI assistants to directly execute SQL, explore database schemas, analyze performance, and generate visualizations.
A development toolkit that equips AI coding assistants (Claude Code, Cursor, Windsurf) with Databricks platform capabilities, featuring 50+ MCP tools, 19 skill modules, and a Python core library. Supports SQL execution, Jobs management, Unity Catalog, Spark Declarative Pipelines, AI Agent development (Knowledge Assistants, Genie Spaces), and Model Serving.
An open-source, all-in-one platform combining web analytics, session replay, feature flags, and A/B testing for product teams to build successful products.
An AI-powered data science team of agents that automates data loading, cleaning, feature engineering, EDA, visualization, and machine learning modeling (H2O + MLflow) through specialized agent collaboration, featuring a Streamlit visual pipeline studio to perform common data science tasks 10X faster.
An AI-driven multi-agent research assistant based on LangGraph that automates the entire research workflow from hypothesis generation, data analysis, and visualization to comprehensive report writing.
An open-source AI Agent platform for financial analysis using LLMs, featuring automated stock research, report generation, and trading strategy development. Built by AI4Finance Foundation with multi-agent collaboration via AutoGen framework.
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