Semantic Frame

Semantic Frame is an open-source tool for token-efficient semantic compression of numerical data, transforming raw data arrays (from NumPy, Pandas, Polars, or Python lists) into compact natural language summaries optimized for use with large language models (LLMs) such as Claude and GPT-4. By using deterministic, statistical analysis, it avoids hallucinations, reduces context window usage, and enables lossless description and anomaly detection in timeseries or tabular data for applications like analytics, DevOps monitoring, crypto, and business insights. Semantic Frame supports advanced agent integration (MCP), LangChain, CrewAI, Anthropic Claude, and structured JSON outputs for downstream applications.