An open context layer that turns database metadata into an ontology, so AI agents answer questions about enterprise data with fewer wrong answers.
It gives agents one trusted definition per business concept, mapped across tables and databases, so analytics answers are grounded instead of improvised. Agents query through the ontology, and people review and certify it in a web UI; terms, reviewed SQL and joins are served over MCP and a REST API.
claude-mem preserves context across coding-agent sessions by capturing tool usage and generating semantic summaries.
It stops an agent from forgetting a project between sessions by capturing tool observations, summarizing them and recalling them later. It runs as a local worker service with a web viewer and search endpoints, managed by Bun.
Scrapling is a Python web scraping framework that combines fast HTTP requests, stealth browsers, parsing and concurrent crawling in one library.
It covers the full scraping workflow, from extracting a few fields to collecting a whole website as clean Markdown, from Python, a terminal or an AI agent. It combines fast HTTP requests, stealth browsers, JavaScript rendering and Cloudflare challenge handling behind one interface.