Conversational analytics on the Databricks Intelligence Platform. Genie spaces are scoped to curated datasets, learn from feedback and example queries, and expose usage monitoring for data teams.

Generative SQL in the Amazon Redshift query editor and natural-language analytics in Amazon QuickSight (Q), producing queries and visuals from plain-English questions.

Copilot experiences across Fabric workloads — natural language to SQL in the SQL analytics endpoint and warehouse, DAX generation in Power BI, and notebook assistance in Data Engineering.

Managed text-to-SQL service inside Snowflake Cortex. Business users ask questions in natural language; a semantic model (YAML) grounds generation against governed definitions before SQL touches the warehouse.

Gemini-powered assistance across BigQuery: natural-language query generation in BigQuery Studio, data canvas for visual NL-driven exploration, SQL completion and explanation.

Agentic text-to-SQL system that plans, selects schema, executes against a physically read-only database, repairs errors, verifies semantics and exposes traces plus an MCP server.

Governed NL2SQL agent built around AST rewriting, database privileges, cost caps, semantic metrics, audit replay and a deliberately bounded execution pipeline.

Auditable text-to-SQL demo over synthetic portfolio datasets. It supports model-generated SQL or a deterministic, keyless compiler, runs both through structural verification and a read-only guard, and shows the SQL beside every result.

Self-hostable AI data analyst for SQL warehouses and REST APIs, grounded in an authored YAML semantic layer with review-gated knowledge context, MCP, dashboards and embeddable clients.

Company-facts and semantic-context system for AI agents that separates live surveyed data, human-approved facts and source records, exposes answers through MCP, and can run self-hosted in a VPC.

Open-source kit for assembling reviewable analytics-agent context from dbt models, warehouse schemas, dashboards, query history and documentation while preserving evidence and surfacing unresolved meaning as questions.

Self-learning data agent that combines six context layers, validated-query knowledge, error learnings, live schema introspection, and separate analyst/engineer roles for answering business questions over PostgreSQL.

Apache-licensed enterprise data-agent framework combining NL2SQL, semantic retrieval, multi-agent workflows, feature engineering, YAML orchestration, and MCP/A2A tool integration.

Open-sourced natural-language-to-SQL engine built for enterprise question answering over structured data, with context stores, golden SQL fine-tuning loops, and an API-first design.

Self-hosted conversational BI platform for natural-language analysis across CSV, Parquet, Excel and PostgreSQL, with DuckDB execution, charts, dataset-level access control, scheduled reports, Skills and MCP extensions.

Spanish-language governed NL-to-SQL lakehouse agent prototype. Its implemented layers parse SQL into an allowlisted AST, enforce role/column/position policies, and estimate query cost from Iceberg manifests before DuckDB execution; generation, masking, and audit layers are not yet complete.

Local-first Windows desktop database assistant that turns natural-language requests into typed, reviewable operations, with physically read-only query paths and explicit one-use confirmation for SQLite writes.

MIT-licensed agentic data assistant and application platform that connects to databases and files, generates and executes SQL and Python analysis, runs reusable skills, and produces reports and dashboards.

Local-first Windows database agent for natural-language SQL, charts, and controlled writes across SQLite, MySQL, and PostgreSQL, with read-only defaults, typed reviewable operations, bounded execution, and one-use write confirmation.

Self-hosted Postgres and MySQL database agent for natural-language BI, schema exploration, slow-query analysis, index recommendations, dashboards and MCP access, with bring-your-own-model endpoints.

Agent-native analytics-engineering toolkit for warehouse exploration, dbt transformation and semantic modeling, schema-drift maintenance, and guarded verification of generated changes.

Governed serving layer between AI agents and data warehouses, returning definition-grounded answers with SQL, confidence grades and signed receipts through MCP or REST.

Evidence-first game-operations incident investigation agent that exposes metric definitions, read-only SQL, cohort comparisons, anomaly detection and citation-checked reports through MCP tools.

MIT Laravel NL2SQL package and Blade chat widget for PostgreSQL, MySQL, MariaDB and SQLite. Sends schema structure rather than rows to the configured model, supports hosted or local models, and exposes benchmark, privacy and validator caveats.

Self-hosted, metric-first conversational analytics agent that constrains SQL generation with published metric SQL, themes, models and join relationships; asks for clarification when semantic retrieval misses.

Open-source analytics-agent framework with a CLI for building versioned context, a self-hosted chat interface, evaluation commands and feedback workflows for deploying natural-language analytics to teams.

Open-source conversational BI and Text2SQL agent with schema linking, catalog retrieval, persistent memory, Plotly visualization, MCP support, and Streamlit/Gradio interfaces across multiple warehouses and LLM providers.

Alpha Python regression-test and CI-gate toolkit for text-to-SQL and analytical agents. Runs generated SQL against SQLite fixtures and checks golden-result, invariant, or baseline-differential expectations before returning a failing exit code.

Local-first macOS conversational-BI desktop app that delegates planning to installed CLI agents, requires them to emit validated intermediate representations rather than SQL, then compiles and executes read-only queries locally.

Adaptable MCP reference server for governed warehouse access: validates model SQL, injects tenant predicates, masks PII, estimates cost and independently re-parses the final statement before read-only execution.

Self-hosted natural-language-to-SQL copilot over a lens-manufacturing PostgreSQL star schema, with a FastAPI backend and React UI. It returns generated SQL, applies read-only guardrails, and includes a small execution-result golden evaluation.

Graph-powered Text2SQL application and SDK that models database schemas as a graph, generates and executes SQL from natural language, and exposes REST, MCP, Python SDK, Docker, and multi-turn interfaces for PostgreSQL and MySQL.

Apache-2.0 enterprise data-agent stack combining governed metadata and knowledge graphs, reusable analysis skills, and a controllable artifact-oriented host runtime. v0.3.0 adds headless HTTP/replayable SSE execution, scheduled runs, snapshots, forks and host-owned delivery.

MIT LangGraph text-to-SQL reference agent for a bundled music-store schema. It combines SELECT/WITH-only execution, retries on executor or guardrail errors, a persistent playbook of failure-derived lessons, optional Mem0 user memory, Streamlit UI and MCP execution tool.

Chinese-language educational NL2SQL data agent implementing metadata ingestion, vector and full-text retrieval, LangGraph orchestration, SQL generation/validation/execution, SSE streaming, and a React interface for an e-commerce warehouse.

Family of open-weight text-to-SQL models (SQLCoder) plus a commercial platform. SQLCoder models were repeatedly competitive with much larger general models on SQL generation benchmarks.

Deterministic semantic SQL inspector that checks AI- or human-written queries for fan-out, additivity, join-key, cross-join, weighted-average, and sensitive-column violations before execution.

Developer-preview governed NL2SQL platform that keeps context and generated SQL inspectable, validates fail-closed, requires explicit approval and runs through bounded read-only connections.

Local, open-source SQLite text-to-SQL agent that runs against an OpenAI-compatible endpoint, repairs SQL errors, generates sandboxed charts, records JSONL traces, and exposes ask/query/schema tools through MCP.

Python SDK for agentic text-to-SQL that lets a model explore schemas and test/self-correct queries through an execute_sql tool, with dialect adapters, tracing, optional scenarios, MCP trace analysis, and LangChain middleware.

Open-source Python text-to-SQL agent built on Google ADK. Extracts SQLite or PostgreSQL schemas, generates SQL with Gemini, validates syntax and referenced schema objects with SQLGlot, executes queries, and retries failed SQL up to three times.

A controllable enterprise-oriented text-to-SQL reference implementation built with LangGraph, FastAPI, SQLGlot, Qdrant, and Elasticsearch. It combines semantic preflight, multi-path metadata retrieval, AST-based SQL safety checks, bounded correction, recovery flows, SSE observability, and packaged evaluation suites.

MIT-licensed, user-aware data-agent framework for natural-language-to-SQL, database tools, streaming tables/charts and permission-aware execution. The main GitHub repository is archived; its docs and PyPI package remain online, with v2.0.2 as the latest release.

Former Apache-2.0 reference stack for building Snowflake Cortex Agents applications. The public repository previously tracked by this directory now returns 404, so the entry is retained only as a historical record pending a replacement upstream URL.

Agent-oriented generative BI and governed text-to-SQL system built around an MDL semantic layer, versioned business context, execution guardrails, and connectors for more than 20 data sources.

Governed generative-BI and text-to-SQL system built around an open context layer, producing SQL, charts, dashboards, and agent-facing context across 20+ data sources.

Local and self-hosted governed semantic layer for AI database analysis, with human-approved metrics and joins, snapshot-pinned YAML models and receipts recording SQL, relationships and model version.

Cross-platform, local-first database client and SQL workspace supporting 40+ databases, bring-your-own-model SQL generation/explanation/optimization, desktop/web/Docker/CLI delivery, and MCP.

Source-available, single-user self-hosted analytics assistant combining natural-language SQL, governed context, dashboards, metrics, monitoring and execution-time scope enforcement.

Source-available semantic sidecar that compiles version-controlled YAML metrics and dimensions into SQL across eight dialects, exposing governed queries over REST, PostgreSQL wire, Flight SQL and MCP. v2.27.1 adds a tested DuckDB ADBC client path and fixes Flight SQL schema negotiation.

Experimental semantic-first conversational BI client exploring model-agnostic LLM configuration, database schema discovery and a Cube-based semantic layer; natural-language querying remains roadmap work.

Uber's internal natural-language-to-SQL system, described publicly in engineering posts: multi-agent pipeline with workspace routing, intent classification, and iterative self-correction over Presto-scale schemas.

Offline benchmark for text-to-SQL verification. It executes gold and faulty SQL against a local engine, compares verification detectors, demonstrates data-scope sensitivity, and includes a destructive-operation guardrail comparison.