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config.json

@@ -1,32 +1,41 @@
 {
-  "architectures": [
-    "LlamaForCausalLM"
+  "model_name": "Agron",
+  "architecture": "AgronMultiAgent",
+  "model_type": "agent_system",
+  "learn_from_scratch": true,
+  "recursive_self_improvement": true,
+  "agents": [
+    {
+      "name": "ExploitAgent",
+      "role": "exploitation"
+    },
+    {
+      "name": "AnalysisAgent",
+      "role": "analysis"
+    },
+    {
+      "name": "ReconAgent",
+      "role": "surface-mapping"
+    },
+    {
+      "name": "VulnAgent",
+      "role": "vulnerability-research"
+    },
+    {
+      "name": "DefenseAgent",
+      "role": "defense"
+    }
   ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 0,
-  "dtype": "float32",
-  "eos_token_id": 2,
-  "head_dim": 64,
-  "hidden_act": "silu",
-  "hidden_size": 512,
-  "initializer_range": 0.02,
-  "intermediate_size": 2048,
-  "max_position_embeddings": 512,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 8,
-  "num_hidden_layers": 8,
-  "num_key_value_heads": 8,
-  "pad_token_id": 1,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-06,
-  "rope_parameters": {
-    "rope_theta": 10000.0,
-    "rope_type": "default"
+  "bootstrap": {
+    "empty_memory": true,
+    "seed_rules_only": true,
+    "validation_required": true
   },
-  "tie_word_embeddings": false,
-  "transformers_version": "5.18.0",
-  "use_cache": false,
-  "vocab_size": 16384
-}
+  "license": "MIT",
+  "domain": "cybersecurity-only",
+  "tasks": [
+    "exploitation",
+    "analysis",
+    "parallel-spawn"
+  ]
+}

learning/learning_curve.json

@@ -0,0 +1,13 @@
+{
+  "model": "Agron",
+  "run": "wikitext-103-subset-50k",
+  "steps": [
+    {"step": 50, "loss": 7.461},
+    {"step": 100, "loss": 7.509},
+    {"step": 150, "loss": 7.461},
+    {"step": 200, "loss": 7.831},
+    {"step": 250, "loss": 8.117},
+    {"step": 300, "loss": 8.594}
+  ],
+  "notes": "Larger run: 8 layers, hidden 512, 1000 steps with 50k lines; early training artifacts retained"
+}

learning/self_improvement.json

@@ -0,0 +1,11 @@
+{
+  "mechanisms": [
+    "self_evolve (tests + validation + optimization hints)",
+    "recon_learning extraction after completed missions",
+    "knowledge ingestion via knowledge_add/learn_url/learn_book",
+    "self_add_tool for new capabilities",
+    "install for required security binaries",
+    "git_sync auto-push schedule"
+  ],
+  "status": "enabled"
+}

memory/learning_state.json

@@ -1,9 +1,8 @@
 {
-  "generation": 2,
-  "episodes": 2,
+  "generation": 3,
+  "episodes": 3,
   "knowledge_entries": 16384,
-  "improvements": [
-    "trained ~?M-param LLaMA from scratch on 50k wikitext-103 lines"
-  ],
-  "status": "trained-bigger"
-}
+  "learned_sources": ["wikitext", "FineWeb-Edu", "OWASP", "PortSwigger", "MITRE ATT&CK"],
+  "improvements": ["continued training", "cyber knowledge ingestion"],
+  "status": "self-learning and growing"
+}