Auto-Analyst 2.0 has been updated with new features and is now open-sourced under the MIT license. The AI data analytics system includes a Streamlit-based UI for chatting with agents, displaying charts, and more. It has various agents, including doer agents that generate Python code and helper agents that fix code errors. Future developments involve prompt optimization, enhanced code-fix pipelines, additional UI options, and more agents. Community contributions are welcomed to tackle long-term challenges like optimal agent structure and industry-specific analytics solutions.

7m read timeFrom medium.com
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Building “Auto-Analyst” — A data analytics AI agentic systemUser InterfaceDoer AgentsHelper AgentsAdding Memory & Agent interaction into the “Auto-Analyst”Query RoutingGitHub - ArslanS1997/Auto-AnalystImmediate PlansLong-Term Plans/Problems to SolveQ1. What is the optimal structure for agents?Q2. How do we handle different industries/analytics functions?Q3. What is the best UX for this?
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