Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Algeria's 69 wilayas, 538 dairas and 1,541 communes with Arabic/French search and historical administrative boundaries. Python and TypeScript libraries.
Offline voice-agent application layer: session core with byte-deterministic replay, spoken-LLM adapters (scripted/replay/loopback-mock), injection-safe function-call grammar, slot grounding, workflow engine with compensation and resume, permissioned tool sandbox, repair-dialog policies, task-success and latency evaluation. NumPy core, torch extra.
Refusal removal as a loadable KV-cache graft — zero weight modification, no refusal-direction projection, fully reversible.
The Web framework for perfectionists with deadlines.