{ "rootib": "RootIB: RB-20260308131222-AE3F7B91", "name": "UAE-Mini Protocol Manifest", "version": "1.0.0", "description": "Universal Archive Engine — Mini Edition. The complete protocol manifest governing all chunks, events, state machines, and interactions within the UAE-Mini portable intelligence capsule.", "timestamp": "2026-03-08T13:12:22Z", "creator": "Ryan Barbrick (Barbrick Design)", "contact": "BarbrickDesign@gmail.com", "device": { "name": "UAE-Mini", "form_factor": "2 TB USB-C SSD", "shell": "Rugged aluminum", "controller": "Microcontroller with integrity + bootstrap", "cooling": "Passive", "compatibility": ["x86", "ARM"], "gpu": "Optional" }, "directory_layout": { "/UAE-Mini/runtime": "Self-healing runtime capsule", "/UAE-Mini/models": "Quantized LLM + specialist models", "/UAE-Mini/semantic-index": "Vector index + knowledge graph", "/UAE-Mini/distilled": "Seed library of civilization", "/UAE-Mini/tools": "Chunker, hasher, compressor, search", "/UAE-Mini/bootstrap": "Integrity verifier + launcher" }, "chunk_schema": { "description": "Canonical unit of data within UAE-Mini", "fields": { "id": { "type": "string", "format": "blake3_hash", "description": "Unique content-addressable identifier" }, "size": { "type": "integer", "description": "Byte length of the chunk payload" }, "type": { "type": "string", "enum": ["binary","text","image","audio","video","model","index","meta"], "description": "Content classification" }, "lineage": { "type": "array", "items": "string", "description": "Parent chunk IDs (provenance chain)" }, "timestamp": { "type": "integer", "format": "unix_epoch", "description": "Creation time in seconds since epoch" }, "metadata": { "type": "object", "additionalProperties": "string", "description": "Arbitrary key-value annotations" } }, "required": ["id","size","type","timestamp"] }, "vector_entry_schema": { "description": "Semantic index entry linking embeddings to chunks", "fields": { "id": { "type": "string", "format": "uuid" }, "embedding": { "type": "array", "items": "number", "length": 1536, "description": "Float32 embedding vector" }, "tags": { "type": "array", "items": "string" }, "references": { "type": "array", "items": "string", "description": "Associated chunk IDs" } } }, "knowledge_graph_schema": { "node": { "fields": { "id": "string", "type": "string", "attributes": "object" } }, "edge": { "fields": { "from": "string", "to": "string", "relation": "string" } } }, "events": { "IngestEvent": { "fields": { "source": "string", "chunk_id": "string", "priority": "integer", "timestamp": "integer" } }, "CompressEvent": { "fields": { "chunk_id": "string", "method": "string", "result_id": "string" } }, "IndexEvent": { "fields": { "chunk_id": "string", "vector_id": "string", "graph_nodes": "array" } }, "RepairEvent": { "fields": { "chunk_id": "string", "status": "string", "action": "string" } }, "UpgradeEvent": { "fields": { "version_from": "string", "version_to": "string", "migration_id": "string" } } }, "state_machines": { "IngestFSM": { "states": ["idle","receiving","hashing","deduping","queued","complete","error"], "initial": "idle", "transitions": [ { "from": "idle", "to": "receiving", "on": "data_arrived" }, { "from": "receiving", "to": "hashing", "on": "chunk_complete" }, { "from": "hashing", "to": "deduping", "on": "hash_ready" }, { "from": "deduping", "to": "queued", "on": "unique" }, { "from": "deduping", "to": "complete", "on": "duplicate" }, { "from": "queued", "to": "complete", "on": "stored" }, { "from": "*", "to": "error", "on": "failure" }, { "from": "error", "to": "idle", "on": "recover" } ] }, "CompressionFSM": { "states": ["idle","analyzing","compressing","verifying","complete","error"], "initial": "idle", "transitions": [ { "from": "idle", "to": "analyzing", "on": "compress_request" }, { "from": "analyzing", "to": "compressing", "on": "method_selected" }, { "from": "compressing", "to": "verifying", "on": "compressed" }, { "from": "verifying", "to": "complete", "on": "valid" }, { "from": "verifying", "to": "compressing", "on": "invalid" }, { "from": "*", "to": "error", "on": "failure" }, { "from": "error", "to": "idle", "on": "recover" } ] }, "IndexFSM": { "states": ["idle","embedding","graph_building","storing","complete","error"], "initial": "idle", "transitions": [ { "from": "idle", "to": "embedding", "on": "index_request" }, { "from": "embedding", "to": "graph_building","on": "embedded" }, { "from": "graph_building","to": "storing", "on": "graph_ready" }, { "from": "storing", "to": "complete", "on": "stored" }, { "from": "*", "to": "error", "on": "failure" }, { "from": "error", "to": "idle", "on": "recover" } ] }, "RepairFSM": { "states": ["idle","scanning","diagnosing","reconstructing","verifying","complete","error"], "initial": "idle", "transitions": [ { "from": "idle", "to": "scanning", "on": "repair_request" }, { "from": "scanning", "to": "diagnosing", "on": "anomaly_found" }, { "from": "scanning", "to": "complete", "on": "clean" }, { "from": "diagnosing", "to": "reconstructing", "on": "diagnosed" }, { "from": "reconstructing", "to": "verifying", "on": "reconstructed" }, { "from": "verifying", "to": "complete", "on": "valid" }, { "from": "verifying", "to": "reconstructing", "on": "invalid" }, { "from": "*", "to": "error", "on": "unrecoverable" }, { "from": "error", "to": "idle", "on": "reset" } ] }, "UpgradeFSM": { "states": ["idle","fetching","validating","migrating","complete","error","rollback"], "initial": "idle", "transitions": [ { "from": "idle", "to": "fetching", "on": "upgrade_available" }, { "from": "fetching", "to": "validating", "on": "fetched" }, { "from": "validating", "to": "migrating", "on": "valid" }, { "from": "validating", "to": "error", "on": "invalid" }, { "from": "migrating", "to": "complete", "on": "migrated" }, { "from": "migrating", "to": "rollback", "on": "failure" }, { "from": "rollback", "to": "idle", "on": "rolled_back" }, { "from": "error", "to": "idle", "on": "reset" } ] } }, "compression_methods": [ { "id": "entropy", "description": "Standard entropy coding (zstd/brotli)", "use_case": "General binary/text data" }, { "id": "ai", "description": "LLM-based semantic compression", "use_case": "Natural language content" }, { "id": "semantic", "description": "Vector-space projection + residual", "use_case": "Structured knowledge chunks" }, { "id": "delta", "description": "Delta vs parent chunk", "use_case": "Versioned/lineage data" } ], "schema_catalog": ["JSON","XML","CSV","Parquet","Git objects","JPEG/PNG/WebP","MP3/FLAC/OGG","MP4/WebM","ONNX/GGUF","HDF5","Protobuf","CBOR"], "activation_sequence": [ { "step": 1, "action": "verify_integrity", "description": "Blake3-verify all stored chunks against manifest" }, { "step": 2, "action": "load_semantic_index", "description": "Memory-map vector index into RAM" }, { "step": 3, "action": "initialize_vector_search","description": "Build HNSW graph for ANN queries" }, { "step": 4, "action": "start_runtime_loops", "description": "Launch ingest, compress, repair, upgrade daemons" }, { "step": 5, "action": "expose_local_api", "description": "Bind HTTP API on localhost:7474" }, { "step": 6, "action": "enter_interactive_mode", "description": "Accept user queries and autonomous tasks" } ], "pipeline": [ { "step": 1, "name": "Ingest", "description": "Data arrives from any source" }, { "step": 2, "name": "Chunk", "description": "Split into content-addressed blocks" }, { "step": 3, "name": "Hash", "description": "Blake3 content hash for deduplication" }, { "step": 4, "name": "Dedupe", "description": "Discard exact duplicates via hash lookup" }, { "step": 5, "name": "Compress", "description": "Entropy → AI → Semantic compression chain" }, { "step": 6, "name": "Index", "description": "Embed + build knowledge graph edges" }, { "step": 7, "name": "Store", "description": "Write to USB SSD or external archive" }, { "step": 8, "name": "Reconstruct", "description": "On-demand decompression + synthesis" }, { "step": 9, "name": "Repair", "description": "Detect + heal corruption via lineage" }, { "step":10, "name": "Upgrade", "description": "Pull new model weights + migrate index" } ], "runtime_guarantees": [ "Never blocks ingestion", "Never loses lineage", "Always reconstructs or explains", "Always backward-compatible", "Fully offline capable", "Fully online capable", "Self-healing", "Self-upgrading" ], "ai_models": { "primary_llm": { "type": "quantized_frontier", "size_gb": "30-70", "description": "Full reasoning and generation" }, "code_model": { "type": "specialist", "description": "Code generation and analysis" }, "math_model": { "type": "specialist", "description": "Symbolic and numeric reasoning" }, "vision_model": { "type": "specialist", "description": "Image understanding and generation" }, "embed_model": { "type": "embedding", "dimensions": 1536, "description": "Semantic vector production" } }, "knowledge_domains": ["Science","Engineering","Medicine","Law","History","Algorithms","Infrastructure","Meta-knowledge"], "local_api": { "host": "localhost", "port": 7474, "endpoints": { "GET /status": "System health and activation state", "POST /ingest": "Submit data for ingestion", "POST /query": "Semantic search and reasoning", "GET /chunk/:id": "Retrieve chunk by ID", "POST /compress": "Compress a chunk", "POST /repair": "Trigger repair scan", "GET /pipeline/status": "Live pipeline FSM states", "POST /upgrade/check": "Check for model upgrades" } } }