Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s,...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if goldenmatch belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add goldenmatch -- npx goldenmatchRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove goldenmatchNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ goldenmatch ← registers here
Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s, 0.30 GB driver). Fuzzy + exact + probabilistic dedupe, identity graph, PPRL, LLM boost. Python + full TypeScript port; SQL-native in PostgreSQL & DuckDB; MCP/REST servers, dbt + Airflow recipes.