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.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
DEPRECATED: Like diff but for PostgreSQL schemas
Asyncio cache manager for redis, memcached and memory
A MySQL Workbench plugin which exports a Model to Laravel 5 Migrations
Simple tool to evolve PostgreSQL schema easily.
Provides utilities for Postgres database schema versioning. This is being superseded by work done at https://codeberg.org/perseas/perseid.
:leaves: Powerful schema-less ODM for MongoDB and Python (sync + async)
Turn CSV, Excel, and read-only databases into verified, editable business reports.
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.
Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments, MCP server.
Local OpenAlex database with 284M+ works, abstracts, and semantic search