Analyzes tabular data, detects anomalies, and generates interpretive summaries using a local LLM.
Autonomous Analyst is a local, agentic AI pipeline designed to analyze tabular data and identify anomalies. It leverages Mahalanobis distance for anomaly detection and uses a local LLM (llama3.2:1b via Ollama) to generate interpretive summaries of the findings. The results are logged to ChromaDB for semantic recall, enabling persistent memory and future reference. The entire process is orchestrated via the Model Context Protocol (MCP), making it a fully integrated and automated solution for data analysis and interpretation.
主要功能
01Mahalanobis Distance-based outlier detection
02ChromaDB vector store for persistent memory
03FastAPI Web UI for dataset interaction
04Local LLM summarization using llama3.2:1b
050 GitHub stars
06MCP tool orchestration for process management
使用案例
01Automated data analysis and summarization
02Anomaly detection in datasets
03Building agentic AI pipelines for data interpretation
