Non-autoregressive decoder heads that turn sentence embeddings into knowledge-graph triples in one forward pass. They power the full mode of cogito-mcp, a document and code memory for agents that answers questions in a few hundred tokens. encoders.json maps the encoder to its assets and to the decode thresholds they were validated under; cogito-mcp --full reads it on first run and downloads these files from the m2m100-pool/ subfolder. The ensemble decodes 76 relations over a 20k-entity vocabulary. F1 is measured on held-out sentences whose entity and relation combinations never appeared in training, on a slice untouched by threshold selection. Each safetensors file carries its contract…