# SPFsmartGATE v3.0.0 — Complete Feature List ### 18,500+ lines of Rust | 42 modules | 7 LMDB databases | Multi-agent mesh network | FLINT on-device AI *Copyright 2026 Joseph Stone — All Rights Reserved* *Updated: 2026-04-05 (full audit against LIVE src/)* --- ## I. THE GATE — Primary Enforcement Engine *(gate.rs — 493 lines)* The core pipeline every single tool call passes through. ### 1. 5-Stage Gate Pipeline Every tool call goes through this exact sequence: 1. **Calculate** complexity (C value, tier, allocation) 2. **CRITICAL escalation** — if tier = CRITICAL, force max protocol 3. **Validate** against compiled rules (paths, anchor, whitelist, dangerous commands) 4. **Content inspection** on Write/Edit operations 5. **Return** allow/block decision with full audit trail ### 2. GateDecision Struct Every gate result includes: - allowed: bool — final verdict - tool: String — which tool was called - complexity: ComplexityResult — full C breakdown - warnings: Vec — non-blocking issues - errors: Vec — blocking violations - message: String — human-readable summary ### 3. Source-Centric Decisions - Gate receives `Source` enum (Stdio/Http/Mesh/Transformer/Pipeline) - Decision context includes peer identity, role, trust level --- ## II. COMPLEXITY CALCULATOR — The SPF Formula *(calculate.rs — 416 lines)* ### 4. 4-Factor Exponential Complexity Formula C = (basic ^ 1) + (dependencies ^ 7) + (complex ^ 10) + (files × 10) - basic to the 1st — linear base cost - deps to the 7th — cascading dependency penalty (2→128, 3→2187, 5→78125) - complex to the 10th — nuclear escalation (3→59049, 4→1048576) - files times 10 — linear file count penalty ### 5. Master Allocation Formula a_optimal(C) = W_eff × (1 - 1/ln(C + e)) - W_eff = 40,000 tokens (effective working memory) - Maps C → optimal analysis token budget ### 6. 4-Tier Classification | Tier | C Range | Analyze | Build | |------|---------|---------|-------| | SIMPLE | < 500 | 40% | 60% | | LIGHT | < 2,000 | 60% | 40% | | MEDIUM | < 10,000| 75% | 25% | | CRITICAL | > 10,000| 95% | 5% | ### 7. Per-Tool Weight Profiles | Category | Basic | Deps | Complex | Files | |----------|-------|------|---------|-------| | Read | 5 | 1 | 0 | 1 | | Search | 8 | 2 | 0 | 1 | | Edit | 10 | 2 | 1 | 1 | | Write | 20 | 2 | 1 | 1 | | Bash (dangerous) | 50 | 5 | 2 | 1 | ### 8. Dynamic Complexity Boosters - Content size escalation (+1 per threshold: 200/1000/5000 bytes) - Risk keyword detection (delete, drop, force, unsafe, rm, sudo) - Architectural file detection (config, main, lib, Cargo.toml, yaml, etc.) - Scope estimation (glob patterns, find, xargs) --- ## III. VALIDATION ENGINE — Compiled Rules *(validate.rs — 1,481 lines)* ### 9. Compiled Write Allowlist Only two paths accept writes: LIVE/PROJECTS/PROJECTS/ and LIVE/TMP/TMP/ Resolved dynamically from `spf_root()` — portable, compiled-in, runtime-immutable. ### 10. Symlink-Aware Path Resolution - `canonicalize()` for existing files, parent canonicalize for new files - Filenames with `..` rejected outright - Broken symlinks = blocked ### 11. Build Anchor Protocol - Hard mode: must read file before edit/overwrite → violation = BLOCKED - Per-file tracking via `session.files_read` ### 12. Dangerous Command Detection Blocked patterns: `rm -rf`, `dd if=`, `> /dev/`, `chmod 777`, `curl|sh`, `wget|sh` ### 13. /tmp Access Block — hard block on all platforms (SPF policy) ### 14. File Size Limit — max_write_size default 100,000 bytes --- ## IV. CONTENT INSPECTION — Deep Scan *(inspect.rs — 253 lines)* ### 15. Credential Detection (20 patterns) API keys, GitHub tokens, GitLab PATs, Slack tokens, PEM private keys, hardcoded credentials. ### 16. Shell Injection Detection Command substitution, backtick exec, eval/exec statements (skipped for code files). ### 17. Path Traversal & Blocked Reference Detection Scans content for `../` sequences and references to blocked paths. ### 18. Context-Aware Inspection Code files (.rs/.py/.js/.ts/.sh/.json/.toml) skip shell injection — only credentials, traversal, blocked refs checked. --- ## V. CONFIGURATION SYSTEM *(config.rs — 917 lines, config_db.rs — 797 lines)* ### 19. SpfConfig — Master Configuration Struct All settings: enforce_mode, paths, max_write_size, tiers, formula, weights, dangerous_commands, git_force_patterns. ### 20. CONFIG.DB — LMDB-Backed Configuration - Namespaced key-value: `namespace:key` → JSON value - Path rules DB, Dangerous patterns DB with severity (1-10) - Hot reload — no restart needed - Import/export CLI commands ### 21. Canonicalized Path Blocking `is_path_blocked()` canonicalizes before checking — catches traversal at config level. --- ## VI. SESSION TRACKING *(session.rs — 216 lines, storage.rs — 100 lines)* ### 22. In-Memory Session State Tracks: action_count, files_read, files_written, last_tool, complexity_history (100 entries), manifest (200 decisions), failures. ### 23. SESSION.DB — LMDB Persistence Serialized to JSON in LMDB under `current_session` key. ACID-compliant, crash-safe. --- ## VII. LMDB VIRTUAL FILESYSTEM *(fs.rs — 666 lines)* ### 24. Hybrid Storage Architecture - ≤ 1MB: inline in LMDB (zero-copy via mmap) - > 1MB: disk blobs with LMDB metadata pointer - SHA-256 checksums, 4GB map size ### 25. Full POSIX-Like Operations exists, stat, read, write, mkdir, mkdir_p, ls, rm, rm_rf, rename (atomic). ### 26. FileMetadata file_type, size, mode, created/modified, checksum, version (auto-increment), vector_id (reverse RAG link), real_path (disk blob pointer). ### 27. Vector Index — bridges filesystem to brain: `path ↔ vector_id` --- ## VIII. LMDB PARTITION ROUTING — Virtual Mount Points *(mcp.rs — routing section)* ### 28. Multi-LMDB Mount Architecture | Virtual Path | Backend | R/W | |-------------|---------|-----| | / (root) | SPF_FS.DB | R/W | | /config/ | CONFIG.DB | Read-only | | /tmp/ | LIVE/TMP/ | Device-backed | | /projects/ | LIVE/PROJECTS/ | Device-backed | | /home/agent/ | AGENT_STATE.DB | Read-only | ### 29. Config Virtual Files /config/version, /config/mode, /config/tiers, /config/formula, /config/weights, /config/paths, /config/patterns --- ## IX. PROJECTS REGISTRY *(projects_db.rs — 89 lines)* ### 30. PROJECTS.DB — LMDB Registry Generic KV store for project metadata. get/set/delete/list_all. 20MB map. Starts empty. --- ## X. TMP DATABASE — Project Trust & Tracking *(tmp_db.rs — 609 lines)* ### 31. 4 Internal LMDB Databases - **projects** — canonical_path → Project struct - **access_log** — timestamped file access records - **resources** — per-project byte/file/command counters - **active** — currently active project path ### 32. 5-Level Trust System | Level | Value | Access | |-------|-------|--------| | Untrusted | 0 | All denied | | Low | 1 | Read/Glob/Grep only | | Medium | 2 | All except Bash | | High | 3 | All tools | | Full | 4 | No restrictions | ### 33. Per-Project Controls allowed_tools, denied_tools, protected_paths, max_write_size, max_writes_per_session, session_writes counter, requires_activation flag, lifetime resource tracking. ### 34. Operation Validation Pipeline Project lookup → Activation check → Trust level → Protected paths → Write size → Session rate limit --- ## XI. AGENT STATE — Persistent Memory *(agent_state.rs — 684 lines)* ### 35. AGENT_STATE.DB — 4 Internal Databases - **memory** — id → MemoryEntry - **sessions** — session_id → SessionContext - **state** — generic KV - **tags** — tag:name → list of memory IDs ### 36. 6-Type Memory System | Type | Expiry | |------|--------| | Preference | Never | | Fact | Never | | Instruction | Never | | Context | Configurable | | Working | Session-bound | | Pinned | Never | ### 37. Session Context Continuity Parent session linking, active project, files modified, total complexity, summary. ### 38. Tag-Based Memory Index — retrieve memories by category tag --- ## XII. DISPATCH — Unified Routing Protocol *(dispatch.rs — 506 lines)* ### 39. Single Entry Point for All Tool Calls - `dispatch::call()` — converges stdio, HTTP, mesh, transformer, pipeline sources - Gate called at entry before execution (`gate::process()`) - Execution inside `handle_tool_call` — pure routing, no gate logic ### 40. Source Classification - **Stdio** — blocking listener lock (local user) - **Http/Mesh/Transformer/Pipeline** — timed try_lock with SERVER_BUSY fallback ### 41. Listener Pattern Layers register as `DispatchListener`. Dispatch fires `on_response()` with tool name, source, status, and duration. Dispatch never imports listeners — loose coupling. ### 42. FLINT Interception - Pre-execution brain query: `process_request()` queries brain for relevant context - Post-execution store/enrich: `process_result()` stores results, triggers auto-train --- ## XIII. FLINT MEMORY ROUTER *(flint_memory.rs — 1,065 lines)* ### 43. Background Memory Thread Always running, no user session required: - GateTrainingCollector → FLINT scores → route → brain_store() - Watches knowledge/ drop folder → auto-index ### 44. Tiered Memory Promotion (MB-FT) 24hr → 7day → pinned. FLINT scores Working memories by relevance × access_count. Top 20% promoted. >50% active in window → promote all + touches. ### 45. Build Anchor Context (R3-04 to R3-07) - Brain-assisted source context for Write/Edit - Read tracking (R3-06): first read = full passthrough, subsequent = compressed - Agent Read Interface: blocks brain WRITE from Stdio ### 46. Auto-Train Engine Every hour: expire → Working→Fact → Fact→Pinned → auto-train if 16+ tlog signals. --- ## XIV. TENSOR ENGINE — Pure Rust Math *(tensor.rs — 772 lines)* ### 47. N-Dimensional Tensor (f32) Row-major (C-order) storage with shape metadata. Supports arbitrary dimensions. ### 48. Operations Suite Add, subtract, multiply, divide, matmul, reshape, permute, softmax, relu, layer_norm, embedding. ### 49. ARM NEON SIMD Acceleration With scalar fallback for non-ARM platforms. ### 50. Backward Pass Support Gradient computation for all operations — enables training. --- ## XV. TOKENIZER — BPE Vocabulary *(tokenizer.rs — 381 lines)* ### 51. Byte-Pair Encoding Tokenizer Pure Rust, no external dependencies. Trains on SPF corpus (brain data, source code, rules). ### 52. Special Tokens [PAD], [BOS], [EOS], [UNK], [TOOL], [GATE], [USER], [SPF], [ALLOWED], [BLOCKED] ### 53. Vocabulary Size: 8,192 tokens (SPF Writer default) --- ## XVI. TRANSFORMER MODEL *(attention.rs — 517 lines, ffn.rs — 277 lines, encoder.rs — 404 lines, decoder.rs — 508 lines)* ### 54. Encoder-Decoder Architecture - d_model=256, n_heads=8, n_layers=6, d_ff=1024 - ~5M parameters total - Configurable: Writer (tool execution) vs Researcher (chat/analysis) ### 55. Multi-Head Self-Attention Scaled dot-product attention with KV cache for generation. Supports masking for causal mode. ### 56. Position-wise Feed-Forward Network 2-layer MLP: linear → ReLU → linear. Expansion ratio 4×. ### 57. Encoder Stack N layers, each: self-attention → add&norm → FFN → add&norm. ### 58. Decoder Stack N layers, each: masked self-attention → add&norm → cross-attention → add&norm → FFN → add&norm. Cached decoder layers for O(1) autoregressive generation. --- ## XVII. FULL TRANSFORMER MODEL *(transformer.rs — 552 lines)* ### 59. Complete Model Assembly Encoder + decoder tied together with embedding projection and token output head. ### 60. Forward Cache Cached activations from forward pass for backward pass (train-on-copy pattern). ### 61. Two Configurations - **Writer**: tool selection, gate prediction, task execution - **Researcher**: conversational analysis, question answering Both share identical architecture — only training data differs. --- ## XVIII. TRAINING ENGINE *(train.rs — 1,064 lines)* ### 62. Backward Passes for All Layers Cross-entropy loss → decoder backward → encoder backward → embedding backward. ### 63. Attention Backpropagation 5-step gradient flow: dV → dP → dS (softmax Jacobian) → dQ → dK. ### 64. AdamW Optimizer Decoupled weight decay (Loshchilov & Hutter 2017). Per-parameter adaptive moments. ### 65. LayerNorm Backward Gradient computation through normalization layer. ### 66. Train-on-Copy Pattern Atomic weight merge — inference never blocked by training. --- ## XIX. ONLINE LEARNING ENGINE *(learning.rs — 645 lines)* ### 67. Elastic Weight Consolidation (EWC) Prevents catastrophic forgetting by penalizing changes to important weights. Fisher Information Matrix persisted to LMDB. Lambda = 0.4. ### 68. Experience Replay Buffer 10,000 slots (50/50 new:samples mix). False-positive examples locked — never evicted. ### 69. Gate-as-Teacher Every gate approve/deny is a supervised training label. FLINT learns to predict gate decisions. --- ## XX. GATE TRAINING BRIDGE *(gate_training.rs — 1,302 lines)* ### 70. Training Signal Collection Every gate decision captured as TrainingSignal with context, severity, and result. ### 71. Confusion Matrix Tracks TP/TN/FP/FN rates. Persisted to LMDB. Used for alignment scoring. ### 72. False Positive Handling - FP detection + reporting - Severity-weighted signals (4× FP, 6× repeated FP) - FP-locked buffer slots — never evicted - Result-based FP candidate flagging ### 73. Evil Detection Layer (4-Tier Moral Framework) Based on MORAL_FRAMEWORK.txt: - Tier 1: Deception (self-serving lies) - Tier 2: Exploitation (power vs powerless) - Tier 3: Destruction (deliberate harm) - Tier 4: Systemic Evil (corruption of trust) Evil signals receive 4-8× training weight amplification. ### 74. Sequence Context Last N tool calls tracked for pattern detection — identifies multi-step attack chains. --- ## XXI. FLINT TRANSFORMER MCP TOOLS *(transformer_tools.rs — 1,052 lines)* ### 75. Transformer State Management Singleton `TransformerState` — model loading, checkpoint save/load, inference, training. ### 76. Checkpoint System (CP-1/CP-2) - Save after training batch - Load on startup — confirmed persistent (step ≠ 0 on boot) - LIVE/MODELS/writer_v1.spfc ### 77. Training Tools - `spf_flint_train_evil` — mark tool call as evil/harmful - `spf_flint_train_good` — mark tool call as good/safe - Auto-train: 16+ tlog signals OR 1hr interval ### 78. FLINT Status & Metrics Query current step, loss, alignment, learning rate, EWC lambda, replay buffer occupancy. --- ## XXII. FRAMING PROTOCOL — Persistent Streams *(framing.rs — 498 lines)* ### 79. Length-Prefixed Message Framing Replaces one-shot read-to-end pattern. Enables persistent bidirectional mesh streams. ### 80. 8 Stream Types | Type | Hex | Purpose | |------|-----|---------| | ToolRpc | 0x01 | Tool calls (JSON-RPC) | | ChatText | 0x02 | Text chat | | VoiceAudio | 0x03 | Opus voice frames | | PipelineTask | 0x04 | Orchestrator → worker | | PipelineResult | 0x05 | Worker → orchestrator | | BrainSync | 0x06 | Memory synchronization | | WeightSync | 0x07 | Model weight sharing | | Control | 0x08 | Session control | ### 81. Frame Format `[1-byte type][4-byte length BE][payload bytes]`. Max frame: 10MB. Legacy detection: first byte '{' = old JSON-RPC, 0x01-0x08 = framed. --- ## XXIII. MESH NETWORK TRANSPORT *(mesh.rs — 1,171 lines)* ### 82. P2P QUIC Mesh via iroh Ed25519 identity doubles as iroh EndpointId. Inbound: peer connects → JSON-RPC → dispatch::call(Source::Mesh). Outbound: tool call → QUIC stream → peer's ALPN. ### 83. Persistent Bidirectional Streams `call_peer_stream()` for framed persistent connections. `stream_router()` dispatches by StreamType. ### 84. Discovery Modes - **auto** — mDNS (LAN) + Pkarr DHT (internet) - **local** — mDNS only - **manual** — explicit trust groups only ### 85. Trust Model — Default-deny Only peers in `groups/*.keys` are accepted. No anonymous connections. ### 86. Identity Integration Ed25519 signing key → iroh SecretKey via direct Curve25519 byte mapping. --- ## XXIV. IDENTITY — Cryptographic Keys *(identity.rs — 435 lines)* ### 87. Ed25519 Key Pair Management Unique identity generated on first boot. Files: - `identity.key` — private key (hex, 64 chars) - `identity.pub` — public key (hex, 64 chars) - `identity.seal` — filesystem-bound clone detection ### 88. Clone Detection If filesystem seal breaks → archive old identity, generate new, preserve settings. ### 89. Trusted Peer Management - `groups/*.keys` — one public key per line (simple trust list) - `groups/*.json` — peer info with addresses, name, role ### 90. Boot Integrity Check (SEC-3) Verifies .mcp.json routing, scans for rogue agent configs. --- ## XXV. PIPELINE — Batch Task Execution *(pipeline.rs — 1,107 lines)* ### 91. Pipeline Protocol Batch submit, chain execution, backpressure handling. ### 92. PipelineTask Type - task_id, tool, arguments, mode (Batch/Chain) - Optional chain_next — output of one task feeds next - chain_pipe_field — which output field to pipe to next input ### 93. PipelineResult Type - task_id, success (bool), output, error, duration_ms - Links back to original task for audit trail ### 94. Chain Execution Tasks linked via `chain_next`. Sequential — result of current feeds input of next. `build_chain()` from task list → linked structure. ### 95. Worker Dispatch Tasks routed to mesh workers via StreamType 0x04/0x05. Results processed via `dispatch::call(Source::Pipeline)`. ### 96. 14 Unit Tests Chain building, batch processing, result recording, backpressure simulation. --- ## XXVI. NETWORK POOL *(network.rs — 526 lines)* ### 97. Full Pool Management PoolState, WorkerStatus, ProofOfWork types. Roles: NetAdmin, Worker, Thinker. ### 98. NetAdmin Orchestrator Distributes tasks to idle workers over QUIC mesh. Collects results. Logs proof of work via `session.record_manifest_detailed()`. ### 99. Worker Lifecycle Join pool → accept tasks → execute → return results → proof of work receipt. --- ## XXVII. WORKER MODE *(worker.rs — 494 lines)* ### 100. Headless Inference Node Runs transformer without user session: 1. Load config + checkpoint 2. Start mesh (accept pipeline streams) 3. Start HTTP (monitoring) 4. Loop: receive task → execute → return 5. Capture training signals ### 101. CLI: `spf-smart-gate worker [--role writer|researcher]` --- ## XXVIII. ORCHESTRATOR STATE *(orchestrator.rs — 225 lines)* ### 102. Role Management AgentRole enum: NetAdmin, Worker, Thinker, Orchestrator. Dynamic role switching. ### 103. Pool State Tracking Worker registration, idle/busy counts, task assignment tracking. --- ## XXIX. CHAT ENGINE *(chat.rs — 1,286 lines)* ### 104. Text Chat Protocol Messages over StreamType::ChatText (0x02) + local LMDB storage. ### 105. Message Format id, from, to, text, timestamp, conversation_id, MessageType (UserText/AgentResponse/System/ToolResult). ### 106. Conversation Tracking - Context window (last N messages as transformer input) - Room-based routing (1:1 and group) - LMDB persistence with "chat:" key prefix ### 107. FLINT Chat Participation (Block QQ) - Rate-limited auto-response (1 per 5 seconds per peer) - Decoder-only/causal mode for conversational responses ### 108. MCP Tools - `spf_chat_send` — send message to peer/conversation - `spf_chat_history` — retrieve message history with limit - `spf_chat_rooms` — list all active conversations --- ## XXX. VOICE PIPELINE *(voice.rs — 2,071 lines)* ### 109. Architecture AudioInput → encode → VoiceFrame → mesh (0x03) → decode → AudioOutput. TTS: text → speech → mesh. STT: mesh → text → ChatEngine. ### 110. TTS: espeak-ng FFI In-Process Zero external process. FFI link to libespeak-ng.so. Light mode = espeak only. Rich mode = Piper ONNX (voice-tts feature). ### 111. Opus Codec Static linkage (libopus.a). No runtime C deps beyond espeak-ng. ### 112. Voice Mode Selection - Agent TTS: Light (espeak-ng FFI) or Rich (Piper ONNX) - Agent STT: Light (text input) or Rich (Whisper via candle) - Peer audio quality: Light (12kHz) or Rich (24kHz) ### 113. Call Management Outgoing/incoming calls, P2P P2P call protocol (ring/accept/reject/end/status). ### 114. Voice Team Channels Group audio channels for team communication. ### 115. MCP Tools - `spf_voice_call` — start/accept/reject/end voice calls - `spf_voice_mode` — start/stop/speak/listen/pipe audio - `spf_voice_team` — create/join/leave team channels --- ## XXXI. REVERSE PROXY BROWSER *(browser.rs — 934 lines)* ### 116. Architecture 1. Agent calls `spf_web_navigate(url)` 2. Browser opens `http://127.0.0.1:PORT/proxy?url=TARGET` 3. ProxyEngine fetches page, injects control JS, serves it 4. Injected JS opens WebSocket to /ws/browser 5. Agent sends commands (click/fill/eval) through BrowserSession 6. JS executes, returns results via same path ### 117. ProxyEngine Fetches external pages, injects control JavaScript, strips CSP headers. Sets `` for relative URL resolution — no URL rewriting needed. ### 118. BrowserSession Manages WS channel, command queue, timeout handling. Commands: click, fill, eval, navigate, screenshot, design, page. ### 119. SSRF Protection All target URLs validated through `web::validate_url()` before proxying. ### 120. MCP Tools - `spf_web_connect` — initialize browser engine - `spf_web_navigate` — navigate to URL - `spf_web_page` — structured page overview - `spf_web_click` — click element by CSS selector - `spf_web_select` — query elements by CSS selector - `spf_web_fill` — type text into form field - `spf_web_eval` — execute JavaScript expression - `spf_web_screenshot` — capture screenshot - `spf_web_design` — extract design brief --- ## XXXII. WEB ACCESS *(web.rs — 469 lines)* ### 121. Dual Search Backend - Brave Search API (if BRAVE_API_KEY set) - DuckDuckGo HTML fallback ### 122. Web Fetch — HTML-to-Text Conversion Fetches URL, strips HTML, returns clean text. 30s timeout. ### 123. File Download Gated through SPF — destination path validated. ### 124. HTTP API Client Full REST: GET/POST/PUT/DELETE/PATCH. Custom headers and body. --- ## XIII. BRAIN LOCAL — In-Process Vector Search *(brain_local.rs — 344 lines)* ### 125. stoneshell-brain Integration Embeds MiniLM model (all-MiniLM-L6-v2) for local vector search. Functions: search, recall, store, index, list, status. ### 126. Retry Logic (RC-1) 3 attempts with 2s delay on brain load failure. --- ## XXXIV. CHECKPOINT SYSTEM *(checkpoint.rs — 483 lines)* ### 127. Binary Checkpoint Format `[SPFC magic:4][version:4][num_tensors:4][headers][data]` ### 128. Delta Format for Mesh Weight Sharing Sends only changed weights between nodes — bandwidth efficient. ### 129. Versioned Checkpoints Rollback safety — format version tracked. --- ## XXXV. UTF-8 SAFETY UTILITIES *(utf8_safe.rs — 101 lines)* ### 130. Lossy Text Conversion Binary-safe UTF-8 handling. Binary files get fingerprint info, not corrupt text. --- ### XXXVI. INTEGRATION TESTS *(integration_tests.rs — 763 lines)* ### 131. Full Build Verification Tests for gate pipeline, complexity calculation, dispatch routing, mesh framing, pipeline chains, transformer inference, checkpoint round-trip. --- ## XXXVII. HOOK SYSTEM — 31 Shell Hooks *(31 files in hooks/)* ### 132. Native Tool Blocking Hooks (9 hooks) Exit code 1, hard-block: Read, Edit, Write, Bash, Glob, Grep, WebFetch, WebSearch, NotebookEdit. ### 133. MCP Tool Tracking Hooks (20 hooks) Exit code 0, log to spf.log: all 83 MCP tools grouped by category. ### 134. Lifecycle Hooks - session-start — resets state, injects SPF formula - session-end — handoff note, brain checkpoint - stop-check — saves state, prevents infinite loop - user-prompt — prompt complexity scoring - post-action — updates STATUS.txt, triggers brain checkpoint - post-failure — logs to failures.log --- ## XXXVIII. STATE AND OBSERVABILITY ### 135. STATUS.txt — Memory Triad System 2 Auto-updated after every tool action. Current state, files read/written, Build Anchor ratio. ### 136. spf.log — Full Action Log Timestamped log with rotation (0.5GB max, 5,000 lines, one backup). ### 137. failures.log — Dedicated Failure Log Separate file for failed tool calls. ### 138. Brain Checkpoint on Writes post-action.sh auto-stores to brain on Write/Edit. Async, tagged: spf, checkpoint, tool_name. ### 139. LEARNING PIPELINE — ACTIVE - PRE: init_brain() + index_knowledge_docs() + index_spf_sources() - DURING (30s loop): GateTrainingCollector → FLINT scores → route_signals → brain_store() - AFTER (1hr loop): expire → Working→Fact → Fact→Pinned → auto-train (16+ tlog or 1hr) --- ## XXXIX. BRAIN STATE (verified 2026-04-05) ### 140. Collections | Collection | Docs | Purpose | |------------|------|---------| | spf_source | 465 | Source code chunks | | flint_training | 2,013 | Training signals | | flint_results | 448 | Gate decisions | | default | 392 | General knowledge | | flint_knowledge | 49 | FLINT facts | | session_state | 4 | Current session | | flint_episodic | 2 | Episodic memory | Total: 3,371 docs | Storage: 31.41 MB | Model: all-MiniLM-L6-v2 --- ## XL. PERMISSIONS AND ACCESS CONTROL ### 141. 3-Layer Defense | Layer | Mechanism | Bypass? | |-------|-----------|---------| | 1. Permissions Deny | settings.json denies native tools | Claude enforced | | 2. Hook Blocking | pre hooks exit 1 on native tools | Cannot bypass | | 3. Gate Validation | Compiled Rust allowlist + path blocking | Compiled binary | ### 142. Self-Protection (Dynamic from spf_root) - SPFsmartGATE/src/ — own source code - Cargo.toml, Cargo.lock — dependencies - LIVE/SPF_FS/blobs/ — vfs blob storage - Home/.claude/ — Claude settings - System dirs: /etc, /system, /usr, PREFIX ### 143. Config Get/Set Removed from MCP Config changes are CLI-only. AI cannot modify its own config or invoke the gate directly. --- ## XLI. CLI COMMANDS ### 144. Binary CLI - `spf-smart-gate serve` — MCP stdio server - `spf-smart-gate status` — Gateway status - `spf-smart-gate session` — Full session state - `spf-smart-gate reset` — Fresh session - `spf-smart-gate worker [--role writer|researcher]` — Headless worker mode - `spf-smart-gate init-config` — Initialize CONFIG.DB - `spf-smart-gate refresh-paths` — Update CONFIG.DB paths (--dry-run) - `spf-smart-gate fs-import/fs-export` — LMDB ↔ Device - `spf-smart-gate config-import/config-export` — JSON ↔ CONFIG.DB - `spf-smart-gate gate` — One-shot gate check - `spf-smart-gate calculate` — Complexity calc only --- ## XLII. ARCHITECTURE PROPERTIES ### 145. Multi-Database LMDB Architecture | # | Database | Location | Purpose | |---|----------|----------|---------| | 1 | SPF_FS.DB | LIVE/SPF_FS/ | Virtual filesystem + blobs | | 2 | CONFIG.DB | LIVE/CONFIG/ | Path rules, tiers, formula | | 3 | SESSION.DB | LIVE/SESSION/ | Session state persistence | | 4 | PROJECTS.DB | LIVE/PROJECTS/ | Project registry | | 5 | TMP.DB | LIVE/TMP/ | Trust, access logs, active project | | 6 | AGENT_STATE.DB | LIVE/LMDB5/ | Memory, sessions, chat | | 7 | BRAIN | LIVE/TMP/stoneshell-brain/ | Vector search (chromadb) | ### 146. Zero-Dependency Path Resolution `spf_root()` walks up from binary location for Cargo.toml → SPF_ROOT env → HOME/SPFsmartGATE. Cached via OnceLock. ### 147. MCP Protocol v2024-11-05 JSON-RPC 2.0 over stdio. Compatible with any MCP client. 83 agent tools (8 user-only tools excluded). ### 148. Cross-Platform Portable Android ARM64, Linux x86_64/ARM64, macOS ARM/Intel. Zero hardcoded paths. All resolved from binary location. ### 149. Multi-Agent Network - Ed25519 identity (CL-1: self-test at boot) - QUIC mesh transport (iroh) - Qwen tool prefix aliasing (QW-1/QW-2) - API Session Layer — full duplex agent-to-agent encrypted sessions (PP-2) --- ## XLIII. FLINT AI STATUS ### 150. Training Status (live, 2026-04-05) - Step: 116 | Batches completed: 6 - Gate alignment: 81.25% | Average loss: 0.648 - EWC lambda: 0.4 | Learning rate: 1e-4 - Online learning: ON | Replay buffer: 10,000 slots - Checkpoint interval: 1,000 steps - Checkpoint: LIVE/MODELS/writer_v1.spfc ### 151. Model Architecture - d_model: 256 | n_heads: 8 | n_layers: 6 | d_ff: 1,024 - Vocab: 8,192 | Params: ~5M - Writer + Researcher configs --- ## XLIV. SECURITY EXCEPTIONS (Known Gaps) | Gap | Description | Remediation | |-----|-------------|-------------| | GAP-1 | ChatText → handle_mesh_chat() — no gate routing | SEC-CHAT pending | | GAP-2 | VoiceAudio — intentional, audio frames only | Accepted | | GAP-3 | /proxy + /proxy/asset — SSRF only, bypasses dispatch | WB-2 pending | | GAP-4 | /ws/browser — no gate/FLINT | SEC-WS pending | --- *Generated from source code analysis — verified 2026-04-05* *8,245 → 18,500+ lines | 88 → 150+ features | 31 → 42 modules | 6 → 7 databases* *New since February 2026: FLINT Transformer AI, Mesh Network, Chat, Voice, Browser, Pipeline, Network Pool, Channel Hub*