Autonomous Analyst
byMadMando
0Analyzes tabular data, detects anomalies, and generates interpretive summaries using a local LLM.
About
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.
Key Features
- Mahalanobis Distance-based outlier detection
- ChromaDB vector store for persistent memory
- FastAPI Web UI for dataset interaction
- Local LLM summarization using llama3.2:1b
- 0 GitHub stars
- MCP tool orchestration for process management
Use Cases
- Automated data analysis and summarization
- Anomaly detection in datasets
- Building agentic AI pipelines for data interpretation
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