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1. PyStreamMCP PyStreamMCP Public

   Intelligence layer for AI agents. Query planning, context discovery, cost optimization. 60-75% token reduction while maintaining quality.

   Python 1

2. PyStreamPDF PyStreamPDF Public

   Intelligence engine for PDFs. Selective retrieval, structure analysis, token-efficient RAG. 10-50x cost reduction for document processing.

   Python

3. PyVectorHound PyVectorHound Public

   Diagnostic engine for RAG retrieval failures. Component-level analysis, root cause detection, optimization recommendations. Fix what's broken, not just metrics.

   Python

4. PyTokenCalc PyTokenCalc Public

   Universal token counting for ANY LLM. 20+ providers (cloud + local), custom models, pattern-based forward-compatibility, 99%+ accuracy.

   Python

5. StatGuardian StatGuardian Public

   Fast, declarative data quality framework (Rust). Schema validation, drift detection, anomaly detection. 13x faster than pandera. Pandas/Polars/DuckDB support.

   Rust

6. ClusterAudienceKit ClusterAudienceKit Public

   Enterprise audience intelligence at scale. RFM analysis, 6 clustering algorithms, CLV, churn detection, lookalikes, neural networks. Process 1M+ customers in <1s.

   Rust