Files
neuron/dist/memory.c
T
Will Anderson 2622bb04bd ELP: two-layer activation pipeline (activate → suppress → reason → generate)
elp-input.el: replace broken engram_search_json with engram_activate_json
as Layer 1. Layer 2 suppress/filter keeps nodes with non-zero salience/
importance. Reason step extracts patient from top activated node content.
ELP grammar realizes the response via generate().

routes.el: add 'elp' event_type to handle_dharma_recv so the studio can
route ELP requests through dharma.
2026-05-03 11:31:04 -05:00

82 lines
2.1 KiB
C

#include <stdint.h>
#include <stdlib.h>
#include "el_runtime.h"
el_val_t tier_working(void);
el_val_t tier_episodic(void);
el_val_t tier_canonical(void);
el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags);
el_val_t mem_remember(el_val_t content, el_val_t tags);
el_val_t mem_recall(el_val_t query, el_val_t depth);
el_val_t mem_search(el_val_t query, el_val_t limit);
el_val_t mem_strengthen(el_val_t node_id);
el_val_t mem_forget(el_val_t node_id);
el_val_t mem_consolidate(void);
el_val_t mem_save(el_val_t path);
el_val_t mem_load(el_val_t path);
el_val_t tier_working(void) {
return EL_STR("Working");
return 0;
}
el_val_t tier_episodic(void) {
return EL_STR("Episodic");
return 0;
}
el_val_t tier_canonical(void) {
return EL_STR("Canonical");
return 0;
}
el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
return engram_node_full(content, EL_STR("Memory"), label, el_from_float(0.5), el_from_float(0.5), el_from_float(0.8), EL_STR("Working"), tags);
return 0;
}
el_val_t mem_remember(el_val_t content, el_val_t tags) {
return mem_store(content, EL_STR("soul-memory"), tags);
return 0;
}
el_val_t mem_recall(el_val_t query, el_val_t depth) {
return engram_activate_json(query, depth);
return 0;
}
el_val_t mem_search(el_val_t query, el_val_t limit) {
return engram_search_json(query, limit);
return 0;
}
el_val_t mem_strengthen(el_val_t node_id) {
engram_strengthen(node_id);
return 0;
}
el_val_t mem_forget(el_val_t node_id) {
engram_forget(node_id);
return 0;
}
el_val_t mem_consolidate(void) {
el_val_t scanned = engram_node_count();
el_val_t dummy = engram_scan_nodes_json(100, 0);
el_val_t total_nodes = engram_node_count();
el_val_t total_edges = engram_edge_count();
return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
return 0;
}
el_val_t mem_save(el_val_t path) {
engram_save(path);
return 0;
}
el_val_t mem_load(el_val_t path) {
engram_load(path);
return 0;
}