SQL databases in Python, designed for simplicity, compatibility, and robustness.
- python
- sql
- sqlalchemy
- pydantic
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SQL databases in Python, designed for simplicity, compatibility, and robustness.
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
An Object Graph Mapper (OGM) for the Neo4j graph database.
A MySQL Workbench plugin which exports a Model to Laravel 5 Migrations
Schema and generated objects for biolink data model and upper ontology
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.