🤖 AI Summary
CLIPSQLite is a new SQLite binding for CLIPS (the C-based rule engine), published as a Show HN project. It lets CLIPS programs open and manage SQLite databases, prepare and execute SQL, bind parameters, inspect engine/compile options and memory usage, and finalize statements — all from CLIPS primitives. The repo includes build instructions (requires sqlite3.h and libsqlite3-dev on Ubuntu), a local build via make, optional sudo make install, and usage examples in program.bat and the vendor/clips binary.
For AI/ML and knowledge-engineering practitioners this is useful for persisting facts, storing training data or metadata, executing complex queries inside rule-based workflows, and building hybrid systems that combine symbolic rules with data-driven components. Key technical details: sqlite-open supports file or :memory: plus standard SQLite open flags (READONLY, READWRITE, CREATE, NOFOLLOW, FULLMUTEX, etc.); prepared-statement lifecycle (prepare, bind positional/named params, step, finalize); binding supports CLIPS facts, instances and instance-addresses; utilities expose sqlite version, source id, threadsafe compile flag (note: CLIPS itself is not threadsafe), memory used/high-water, compile options, changes/total-changes/last-insert-rowid, db-name/db-filename/db-readonly/db-exists, and EXPLAIN/EXPLAIN QUERY PLAN modes for prepared statements. This makes it straightforward to integrate durable relational storage with rule-based reasoning.
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