3. Data, Science & AI

Enables semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying in RAG systems.

Manages Aenea consciousness system operations: start/stop, monitor thought cycles, manage energy, and debug state.

Enables streaming JSON data processing through chained multi-agent pipelines for efficient data transformation and sequential workflow execution.

Quantum-resistant version control system for AI agents featuring self-learning, ReasoningBank intelligence, and multi-agent coordination.

Creates and trains AI learning plugins using AgentDB's reinforcement learning algorithms for self-learning agents and behavior optimization.

Displays active AI agents configured for second opinion functionality upon user query.

Provides approach validation by querying external AI models (OpenAI, Gemini, GitHub) when users request second opinions or cross-checks.

Advanced AI system enabling queen-led multi-agent coordination with consensus mechanisms and persistent memory for collective intelligence operations.

Expert guidance on MongoDB implementation for RAG, including aggregation pipelines and search patterns for AI data retrieval.

Configures AI agent selection for second opinion features in response to user commands.

Displays active AI agents configured for second opinion functionality in the system.

Expert guidance for implementing Supabase/PostgreSQL with pgvector for RAG semantic search and full-text search.

Expert guidance for document processing with Docling and audio transcription using Whisper AI model.

Interactively configures second-opinion AI agents, enabling users to enable/disable agents or adjust settings for decision support.

AI assistant for Beeper Desktop providing conversation summarization, reply generation, and communication style analysis.

Provides expert guidance for building AI agents and tools using the Pydantic AI framework.

Converts data, research, and articles into infographic-ready summaries with visual hierarchy and chart suggestions for effective data presentation.

Provides cross-validation of user queries by querying external AI models (OpenAI, Gemini, GitHub) upon request for second opinions.

Enables parallel execution of specialized agents for multi-domain task handling and comprehensive analysis.

Provides a complete data analysis workflow from exploration to generating actionable insight reports.

Fetches delayed US equity quotes from NASDAQ with lightweight caching and latency metadata for data processing applications.

Fetches NASDAQ OHLCV candlestick data with caching and latency metrics for efficient charting and analysis.

Fetches Polymarket CLOB order book depth for YES/NO markets, exposing best bid, ask, and mid prices for market analysis.

Fetches recent news headlines from GDELT with caching, rate limiting, and query normalization for efficient data access.