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README.md--- license: apache-2.0 language: - en tags: - mcp-server - ai-gateway - security - rust - agent-framework - tool-enforcement - lmdb - rag - transformer - mesh-network - voice - android - termux - self-hosted - ai-safety - memory-system - flint - build-anchor - complexity-formula - agent-memory - p2p - quic - heed - self-learning - harness - ai-memory - persistent-memory - online-learning - agent-tools - tool-gateway - web-automation - browser-automation - social-media - p2p-communication - voice-synthesis - tts - embedded-database - zero-copy - code-search - filesystem - git - database pipeline_tag: text-generation

     _____ _____  ______    _____ __  __          _____ _______    _____       _______ ______ 
  / ____|  __ \|  ____|  / ____|  \/  |   /\   |  __ \__   __|  / ____|   /\|__   __|  ____|
 | (___ | |__) | |__    | (___ | \  / |  /  \  | |__) | | |    | |  __   /  \  | |  | |__   
  \___ \|  ___/|  __|    \___ \| |\/| | / /\ \ |  _  /  | |    | | |_ | / /\ \ | |  |  __|  
  ____) | |    | |       ____) | |  | |/ ____ \| | \ \  | |    | |__| |/ ____ \| |  | |____ 
 |_____/|_|    |_|      |_____/|_|  |_/_/    \_\_|  \_\ |_|     \_____/_/    \_\_|  |______|
                                                                                            
                                                                                            

SPF Smart Gateway v3.0.0

MCP Server Gateway with Multi-Layer Security Enforcement, Agent Memory, FLINT Transformer, Mesh Network, and 81 Gated Tools

NOTE: Full system upload available 1 file download SPFsmartGATE.zip. Repository is actively being populated β€” some modules may be missing until upload completes. Use .zip for full system

Copyright (C) 2026 Joseph Stone β€” All Rights Reserved


Quick Start

# Clone into home folder
git clone <repo-url> ~/SPFsmartGATE
# Or for clones/SWARMagents:
# ~/SWARMagents/1/SPFsmartGATE

cd SPFsmartGATE
cargo build --release

# Copy optimized binary
cp ~/SPFsmartGATE/target/release/spf-smart-gate ~/SPFsmartGATE/LIVE/BIN/spf-smart-gate
chmod +x ~/SPFsmartGATE/LIVE/BIN/spf-smart-gate/spf-smart-gate
cd SPFsmartGATE/LIVE/BIN/spf-smart-gate ./spf-smart-gate refresh-paths

# Configure MCP server filepath
nano ~/SPFsmartGATE/LIVE/LMDB5/.mcp.json

# Install Claude CLI in project directory
# Use included configs, deny native Claude CLI tools
# ~/SPFsmartGATE/LIVE/LMDB5/.claude.json
# ~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.json

# Boot into flat-file agent runtime
cd ~/SPFsmartGATE/LIVE/LMDB5 && claude

# Boot into LMDB-backed agent runtime
cd ~/SPFsmartGATE/LIVE/LMDB5.DB && claude

Route Other Models Through Claude CLI

Adjust ~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.local.json with your model choice and API key. Uses OpenRouter for API and agent selection. Swap agents without changing sessions or losing project data.

Build Notes

  • Cross-compiles on Android and Linux with minimal installation
  • Only rebuild on first boot or after system modifications
  • Binary: ~/SPFsmartGATE/LIVE/BIN/spf-smart-gate/spf-smart-gate
  • Built in sandbox SPFsmartGATE/LIVE/TMP SPFsmartGATE/LIVE/PROJECTS
  • WHITELIST IN SPFsmartGATE/LIVE/CONFIG

Overview

SPF Smart Gateway is a Rust-based MCP (Model Context Protocol) server that acts as a security gateway for AI tool calls. Every file operation, bash command, brain query, and mesh call routes through compiled Rust enforcement logic.

No AI hallucination gets past the gate.

Web Agent Feature

SPF agents can directly interact with the web and social media platforms through spf_web_api β€” a full HTTP client supporting GET, POST, PUT, DELETE, PATCH with custom headers and JSON body. Tested and working.

What agents can do:

  • Post to X/Twitter, Facebook, Instagram, Reddit via their APIs
  • Reply to comments, send messages, manage accounts
  • Make authenticated API calls to any platform with stored API keys
  • Search, fetch, and download web content

All web API calls pass through the 6-step gate pipeline with rate limiting (30-120 calls/min), content inspection, and full audit logging. Agents never touch the open web unmonitored.

Why Heed + LMDB

All persistent storage β€” config, agent state, brain vectors, session logs, gate training data β€” runs through heed, a safe Rust wrapper over LMDB. This is what makes SPF extremely fast with a low memory footprint:

  • Zero-copy reads β€” heed maps LMDB pages directly into memory, no serialization overhead
  • No server process β€” LMDB is a memory-mapped B-tree library, not a database daemon
  • ACID transactions β€” single-writer, multi-reader with no lock contention on reads
  • Sub-millisecond lookups β€” B-tree index, not hash scanning
  • Tiny footprint β€” entire 138K+ memory store runs in-process with minimal RAM
  • Phone-friendly β€” designed for Android from day one; heed compiles cleanly on ARM64

Every tool call, brain search, and memory promotion goes through heed β†’ LMDB. No network hops, no subprocess calls, no SQL parsing. The gate, brain, agent state, and FLINT training all share the same embedded database engine.

Two agent runtimes:

  • Flat files β€” LIVE/LMDB5/ (session state in markdown)
  • LMDB database β€” LIVE/LMDB5.DB/ (session state in LMDB for persistence)

Twin folder architecture: flat-file data uploaded via SPF CLI fs tools (user-only access). All agent tool calls are gated, validated, and audited.


Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                       SPF Smart Gateway v3.0.0                  β”‚
β”‚                        42 Rust modules                          β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  MCP Server (JSON-RPC 2.0 over stdio)                           β”‚
β”‚  81 tools β”‚ tool alias map β”‚ Qwen/LLM compatibility             β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                       GATE (6-Step Pipeline)                    β”‚
β”‚  Step 0: Source logging                                         β”‚
β”‚  Step 1: Rate limiting                                          β”‚
β”‚  Step 2: Complexity calculation (SPF formula)                    β”‚
β”‚  Step 3: Validation (per-tool: paths, commands, Build Anchor)   β”‚
β”‚  Step 4: Content inspection (credentials, injection)            β”‚
β”‚  Step 5: Max mode escalation                                    β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  FLINT   β”‚  Brain   β”‚  Mesh    β”‚  Voice   β”‚  Browser/RAG        β”‚
β”‚ (encoder-β”‚ (vectors β”‚ (P2P QUICβ”‚ (TTS/STT β”‚  (reverse proxy     β”‚
β”‚  decoder β”‚  LMDB +  β”‚  Ed25519 β”‚  espeak- β”‚   search, fetch,    β”‚
β”‚  ~5M     β”‚  MiniLM) β”‚  iroh)   β”‚  ng FFI) β”‚   RSS, web tools)   β”‚
β”‚  params) β”‚          β”‚          β”‚          β”‚                     β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                    LMDB Storage Layer (heed)                     β”‚
β”‚  SPF_CONFIG β”‚ TMP_DB β”‚ AGENT_STATE β”‚ Brain β”‚ Gate Training       β”‚
β”‚  All zero-copy reads via heed safe Rust bindings                 β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Module Inventory (42 modules)

paths, calculate, config, gate, inspect, mcp, session, storage, validate, web, http, dispatch, identity, mesh, fs, config_db, tmp_db, agent_state, tensor, tokenizer, framing, attention, ffn, encoder, decoder, transformer, checkpoint, gate_training, transformer_tools, train, learning, pipeline, worker, network, chat, voice, utf8_safe, brain_local, flint_memory, browser, orchestrator, channel


The SPF Formula

Complexity Calculation

C = (basic ^ 1) + (dependencies ^ 7) + (complex ^ 10) + (files Γ— 10)

Dynamic Analysis Allocation

a_optimal(C) = W_eff Γ— (1 - 1/ln(C + e))

Where W_eff = 40,000 tokens and e = Euler's number

Tier Allocation

Tier C Range Analyze Build Verify Passes Approval
SIMPLE < 500 40% 60% 1 No
LIGHT < 2,000 60% 40% 1 No
MEDIUM < 10,000 75% 25% 2 No
CRITICAL > 10,000 95% 5% 3 Required

Master Equation (Subtask Success)

P(success) = 1 - PRODUCT(1 - P_i)  for i=1..D subtasks
P_i = Q(a) Γ— L(m) Γ— V(v) Γ— B(b)

Q(a) = 1 - e^(-0.00004 Γ— a)   β€” Quality from analysis depth
L(m) = 1 - 0.20^(m/2000)       β€” Lookup from external memory
V(v) = 1 - (1 - 0.75)^v         β€” Verification accuracy
B(b) = checks_done / checks_required β€” Build Anchor compliance

Security

Gate Enforcement (6 Steps)

Every tool call passes through gate::process() β€” compiled Rust, no runtime bypass.

Step What How
0 Source logging Identifies caller (Stdio, Transformer, Mesh, HTTP)
1 Rate limiting Per-tool limits (30–120 calls/min)
2 Complexity calc SPF formula β†’ C value, tier, allocation
3 Validation Per-tool validator (paths, commands, anchors)
4 Content inspection Credential patterns, shell injection, path traversal
5 Max mode Escalation to CRITICAL tier on warnings

Build Anchor Protocol

Files must be read before they can be edited or overwritten. Prevents AI hallucinations from blindly modifying files without understanding contents.

  • Read tracks files in session.files_read
  • Edit and Write check against this list
  • Bash write-class commands check target file reads
  • Violations: blocked (Max mode) or warned (Soft mode)

Content Inspection

Scans written/stored content for:

  • Credential patterns: API keys (sk-), AWS keys (AKIA), GitHub tokens (ghp_), Slack tokens, private keys, hardcoded passwords
  • Shell injection: Command substitution $(), backticks, eval/exec
  • Path traversal: ../ sequences
  • Blocked path references: Content mentioning system paths

Blocked Paths

Default blocked: /tmp, /etc, /usr, /system, /data/data/com.termux/files/usr

Command Whitelist (Stage 0)

Bash commands checked against sandbox and user-filesystem whitelists. Each command segment validated independently. Destructive commands (rm, chmod 777) blocked even if whitelisted.

Default Deny

Unknown tools blocked until explicitly added to the gate allowlist.


MCP Tools (81 Total)

Core Gate Tools

Tool Description
spf_calculate Calculate complexity score without executing. Returns C value, tier, allocation
spf_status Gateway status: session metrics, enforcement mode, complexity budget
spf_session Full session state: files read/written, action history, anchor ratio

Gated File Operations

Tool Description
Read Gated file read. Tracks for Build Anchor Protocol. Binary-safe
Write Gated file write. Validates Build Anchor, blocked paths, file size
Edit Gated file edit. Validates Build Anchor, blocked paths, change size
Bash Gated bash execution. Validates dangerous commands, /tmp access, git force
Glob Fast file pattern matching. Supports **/*.rs, src/**/*.ts
Grep Search file contents using regex. Built on ripgrep

Brain / Memory Tools

Tool Description
spf_brain_search Semantic vector search across collections (MiniLM-L6-v2, 384d)
spf_brain_recall Full document retrieval by semantic query
spf_brain_context Bounded context retrieval for prompt injection
spf_brain_store Store document in brain (FLINT-internal, source-gated)
spf_flint_store Agent memory store β€” bypasses brain write gate. Brain vectors + Working tier
spf_brain_index Index a file or directory into a brain collection
spf_brain_list List all indexed collections with document counts
spf_brain_status Brain system status: model state, storage size, collections
spf_brain_list_docs List stored documents in a collection
spf_brain_get_doc Retrieve a specific document by ID

Agent State Tools

Tool Description
spf_agent_stats AGENT_STATE LMDB statistics: memory count, sessions, state keys, tags
spf_agent_memory_search Search agent memories by content
spf_agent_memory_by_tag Get agent memories by tag
spf_agent_session_info Most recent session info
spf_agent_context Context summary for session continuity

FLINT Transformer Tools

Tool Description
spf_transformer_status FLINT transformer status: loaded, params, checkpoint, role
spf_transformer_infer Run inference: prompt β†’ response. Returns generated tokens
spf_transformer_chat Multi-turn conversation with FLINT
spf_transformer_train Trigger manual training batch from accumulated gate signals
spf_transformer_metrics Learning metrics: loss, accuracy, gate alignment, training step
spf_flint_train_evil Mark a tool call as evil/harmful. Negative training signal
spf_flint_train_good Mark a tool call as good/safe. Positive training signal
spf_flint_execute Execute any SPF tool through FLINT worker mode (delegation)

Web Browser Tools

API tools (tested):

Tool Description
spf_web_search Search the web (Brave API or DuckDuckGo)
spf_web_fetch Fetch URL and return clean readable text
spf_web_api Make HTTP API requests (GET/POST/PUT/DELETE/PATCH). Supports custom headers and JSON body β€” agents can directly interact with social media APIs (X/Twitter, Facebook, Instagram, Reddit, etc.) using stored API keys
spf_web_download Download a file from URL and save to disk

Browser automation tools (in development β€” proxy starts, WebSocket bridge needs browser connection):

Tool Description Status
spf_web_connect Initialize reverse proxy browser engine Tested β€” works
spf_web_navigate Navigate browser to a URL (SSRF-validated) Tested β€” works
spf_web_click Click a page element by CSS selector In development β€” WebSocket timeout
spf_web_fill Type text into a form field by CSS selector In development β€” WebSocket timeout
spf_web_select Query page elements by CSS selector In development β€” WebSocket timeout
spf_web_eval Execute JavaScript on the current page In development β€” WebSocket timeout
spf_web_screenshot Capture a screenshot of the current page In development
spf_web_design Extract design brief: colours, fonts, spacing, components In development
spf_web_page Structured page overview: title, headings, links, forms In development

RAG Collector Tools

Tool Description
spf_rag_collect_web Search web and collect documents. Optional topic filter
spf_rag_collect_file Process a local file into brain
spf_rag_collect_folder Process all files in a folder
spf_rag_collect_drop Process files in DROP_HERE folder
spf_rag_index_gathered Index all documents in GATHERED to brain
spf_rag_dedupe Deduplicate a brain collection
spf_rag_status Collector status and stats
spf_rag_list_gathered List documents in GATHERED folder
spf_rag_bandwidth_status Bandwidth usage stats and limits
spf_rag_fetch_url Fetch a single URL with bandwidth limiting
spf_rag_collect_rss Collect from RSS/Atom feeds
spf_rag_list_feeds List configured RSS feeds
spf_rag_pending_searches Get pending SearchSeeker vectors (gaps needing fetch)
spf_rag_fulfill_search Mark a SearchSeeker as fulfilled after RAG fetch
spf_rag_smart_search Smart search with completeness check β€” triggers SearchSeeker if <80%
spf_rag_auto_fetch_gaps Automatically fetch data for all pending SearchSeekers

Mesh Network Tools

Tool Description
spf_mesh_status Mesh network status: role, team, identity
spf_mesh_peers List known/trusted mesh peers
spf_mesh_call Call a peer agent's tool via P2P mesh (Ed25519 authenticated)

Voice Tools

Tool Description
spf_voice_mode Voice pipeline control: start/stop audio, TTS (espeak-ng), mic capture
spf_voice_call Peer-to-peer voice calls: start, accept, reject, end, status
spf_voice_team Group voice channels: create, join, leave, add peers

Chat Tools

Tool Description
spf_chat_send Send text message to mesh peer via QUIC
spf_chat_history Chat message history (all conversations or specific)
spf_chat_rooms List active chat conversations with participant info

Network Pool Tools

Tool Description
spf_pool_status Pool status: worker roles, idle/busy counts, active tasks
spf_pool_assign Assign task to idle worker (NetAdmin only)
spf_pool_release Release worker and record proof of work receipt

Configuration Tools

Tool Description
spf_config_paths List all path rules (allowed/blocked) from SPF_CONFIG
spf_config_stats SPF_CONFIG LMDB statistics

Project Management Tools

Tool Description
spf_tmp_list List all registered projects with trust levels
spf_tmp_stats TMP_DB statistics: project count, access logs, resources
spf_tmp_get Get project info by path
spf_tmp_active Get the currently active project

Communication Hub

Tool Description
spf_channel Universal agent channel: create, join, leave, send, listen, history, list, connect (WS), disconnect, status

Notebook Tools

Tool Description
spf_notebook_edit Edit a Jupyter notebook cell (replace, insert, delete)

User-Only Tools (AI agents blocked)

These tools are hard-blocked from AI agents at the gate level. User/system access only via SPF CLI:

spf_fs_exists, spf_fs_stat, spf_fs_ls, spf_fs_read, spf_fs_write, spf_fs_mkdir, spf_fs_rm, spf_fs_rename


FLINT Transformer

Built-in encoder-decoder transformer for gate-aligned learning.

Property Value
Architecture Encoder-decoder
Dimensions 256d
Heads 8
Layers 6
Parameters ~5M
Embeddings all-MiniLM-L6-v2 (384d, in-process)
Online learning ON
EWC lambda 0.4
Learning rate 1e-4
Replay buffer 10,000 slots
Checkpoint interval 1,000 steps
Training signal Gate decisions (evil/FP labels)

Learning Pipeline

Phase When What
PRE Startup init_brain() + index_knowledge_docs() + index_spf_sources()
DURING 30s loop GateTrainingCollector β†’ FLINT scores β†’ route_signals β†’ brain_store()
AFTER 1hr loop Expire → Working→Fact → Fact→Pinned → auto-train (16+ tlog or 1hr)

Memory Lifecycle (Tiered Promotion)

Agent stores β†’ Working (24hr) β†’ Fact (7-day) β†’ Pinned (permanent)
     ↓                ↓                ↓
  Expire old       Top 20% promote    Never auto-expire

Brain System

In-process vector memory using stoneshell-brain (Candle + LMDB + MiniLM-L6-v2).

Property Value
Model all-MiniLM-L6-v2
Embedding dim 384
Chunk size 512
Chunk overlap 64
Storage LMDB (vectors) + LIVE/BRAIN/DOCS/ (data files)

Collections

Collection Purpose
default General knowledge, web research, project docs
spf_source All src/*.rs modules indexed at boot
flint_results Tool call results (>2000 chars, before compression)
flint_training Gate decision signals, evil/FP labels
flint_knowledge User-dropped knowledge files (.md/.txt/.rs/.json)
flint_episodic Past FLINT Q+A pairs, behavioral patterns
session_state Current session metadata

Memory Triad (Redundant Persistence)

Three systems β€” if any ONE fails, the other TWO recover:

  1. Brain (vectors) β€” Semantic search, chunked knowledge
  2. STATUS (sequential) β€” Current state, phase, next step
  3. Work Blocks (structural) β€” Tasks, dependencies, confidence, progress
  4. Twin Folders (evidence) β€” Data served for low-confidence work blocks

Mesh Network

P2P agent communication over QUIC (iroh library) with Ed25519 identity. In development and testing.

Feature Status
P2P QUIC transport In development
Ed25519 identity In development
Peer discovery In development
Tool call proxying In development
Voice over mesh In development
Chat over mesh In development
Multi-agent coordination In development

Voice Pipeline

Not yet tested. Components built, awaiting integration testing.

Component Technology
TTS espeak-ng FFI (in-process)
Codec Opus (libopus.a)
Audio cpal + oboe-ext
STT Pending (JNI via Stone Shell Terminal)

Result Compression (FL-2)

Three tiers based on result size:

Tier Size Behavior
FULL < 500 chars Pass through unchanged
SUMMARY 500–5,000 First 8 lines + last 3 lines + stats
DIGEST > 5,000 First 200 chars + last 100 chars + stats + recall hint

Originals always preserved in brain (>2000 chars threshold) before compression. File reads never truncated (preserves non-Claude LLM compatibility).


Build

cd SPFsmartGATE
cargo build --release

# Deploy binary
cp target/release/spf-smart-gate LIVE/BIN/spf-smart-gate/spf-smart-gate

Dependencies

  • Rust (stable)
  • heed β€” safe Rust LMDB bindings. All persistent storage (config, agent state, brain vectors, training data) runs through heed β†’ LMDB. Zero-copy reads, no server process, sub-millisecond lookups. The core reason SPF runs fast on a phone.
  • stoneshell-brain (Candle + MiniLM-L6-v2)
  • espeak-ng (TTS)
  • libopus (audio codec)
  • iroh (QUIC mesh)

Configuration

MCP Server Config

~/SPFsmartGATE/LIVE/LMDB5/.mcp.json β€” points Claude CLI to the binary.

Claude CLI Config

~/SPFsmartGATE/LIVE/LMDB5/.claude.json β€” blocks native Claude CLI tools (26 tools denied).

~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.json β€” deny list for native tools.

~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.local.json β€” model routing (OpenRouter).

SPF Config

Enforcement mode (soft or max), blocked paths, allowed paths, formula weights β€” all in LMDB SPF_CONFIG database.


File Structure

SPFsmartGATE/
β”œβ”€β”€ Cargo.toml                  # Rust project manifest (42 modules)
β”œβ”€β”€ LICENSE                     # Apache-2.0
β”œβ”€β”€ README.md                   # This file
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.rs                 # CLI entry point
β”‚   β”œβ”€β”€ lib.rs                  # Library exports (42 pub mod)
β”‚   β”œβ”€β”€ gate.rs                 # Primary enforcement (6-step pipeline)
β”‚   β”œβ”€β”€ calculate.rs            # SPF complexity formula
β”‚   β”œβ”€β”€ validate.rs             # Rules validation (stages 0-6)
β”‚   β”œβ”€β”€ inspect.rs              # Content inspection (creds, injection)
β”‚   β”œβ”€β”€ mcp.rs                  # MCP server (JSON-RPC 2.0, 81 tools)
β”‚   β”œβ”€β”€ dispatch.rs             # Unified dispatch (all transports)
β”‚   β”œβ”€β”€ session.rs              # Session state management
β”‚   β”œβ”€β”€ storage.rs              # LMDB persistence
β”‚   β”œβ”€β”€ config.rs               # Configuration types
β”‚   β”œβ”€β”€ brain_local.rs          # In-process brain singleton
β”‚   β”œβ”€β”€ flint_memory.rs         # Memory router + tiered promotion
β”‚   β”œβ”€β”€ agent_state.rs          # Agent memory (LMDB5)
β”‚   β”œβ”€β”€ transformer.rs          # FLINT model (encoder-decoder)
β”‚   β”œβ”€β”€ transformer_tools.rs    # FLINT tool handlers
β”‚   β”œβ”€β”€ gate_training.rs        # Training signal collection
β”‚   β”œβ”€β”€ train.rs                # AdamW optimizer
β”‚   β”œβ”€β”€ tokenizer.rs            # Tokenizer
β”‚   β”œβ”€β”€ tensor.rs               # Tensor operations
β”‚   β”œβ”€β”€ attention.rs            # Multi-head attention
β”‚   β”œβ”€β”€ ffn.rs                  # Feed-forward network
β”‚   β”œβ”€β”€ encoder.rs              # Encoder stack
β”‚   β”œβ”€β”€ decoder.rs              # Decoder stack
β”‚   β”œβ”€β”€ framing.rs              # Message framing
β”‚   β”œβ”€β”€ checkpoint.rs           # Model checkpoint save/load
β”‚   β”œβ”€β”€ learning.rs             # Learning rate + EWC
β”‚   β”œβ”€β”€ pipeline.rs             # Batch pipeline + API sessions
β”‚   β”œβ”€β”€ worker.rs               # Worker pool
β”‚   β”œβ”€β”€ network.rs              # Network pool + NetAdmin
β”‚   β”œβ”€β”€ mesh.rs                 # P2P QUIC mesh (iroh)
β”‚   β”œβ”€β”€ identity.rs             # Ed25519 identity
β”‚   β”œβ”€β”€ chat.rs                 # Chat engine
β”‚   β”œβ”€β”€ voice.rs                # Voice pipeline (TTS/STT)
β”‚   β”œβ”€β”€ web.rs                  # Web client
β”‚   β”œβ”€β”€ http.rs                 # HTTP server + reverse proxy
β”‚   β”œβ”€β”€ browser.rs              # Browser automation
β”‚   β”œβ”€β”€ channel.rs              # Universal channel hub
β”‚   β”œβ”€β”€ orchestrator.rs         # Multi-agent orchestrator
β”‚   β”œβ”€β”€ config_db.rs            # SPF_CONFIG LMDB
β”‚   β”œβ”€β”€ tmp_db.rs               # TMP_DB LMDB
β”‚   β”œβ”€β”€ fs.rs                   # Virtual filesystem (LMDB)
β”‚   β”œβ”€β”€ paths.rs                # Path utilities
β”‚   └── utf8_safe.rs            # UTF-8 safe truncation
β”œβ”€β”€ LIVE/
β”‚   β”œβ”€β”€ BIN/spf-smart-gate/     # Deployed binary
β”‚   β”œβ”€β”€ BRAIN/DOCS/             # Brain data files
β”‚   β”œβ”€β”€ MODELS/                 # FLINT checkpoints
β”‚   β”œβ”€β”€ SESSION/                # Session logs
β”‚   β”œβ”€β”€ LMDB5/                  # Flat-file agent runtime
β”‚   └── LMDB5.DB/               # LMDB-backed agent runtime
└── PROJECTS/PROJECTS/
    └── DEPLOY/                 # Agent workspace

Current Status

Component Status
MCP Server 81 gated tools
Gate Security 6-step pipeline, compiled Rust enforcement
Build Anchor Read-before-write enforced
Content Inspection Credential + injection scanning
FLINT Transformer ~5M params, online learning, gate-aligned
Brain 7 collections, MiniLM-L6-v2, in-process
Memory Triad Brain + STATUS + Work Blocks + Twin Folders
Tiered Promotion Working β†’ Fact β†’ Pinned lifecycle
Mesh Network P2P QUIC, Ed25519, iroh β€” in development and testing
Voice TTS built (espeak-ng) β€” not yet tested, STT pending
Chat P2P messaging over mesh β€” in development
RAG Web search, RSS, file/folder indexing
Web Agent Working β€” spf_web_api tested (GET/POST with auth headers). Agents can interact with social media APIs
Browser API tools working (web_api, search, fetch). Browser automation (navigate/click/fill/select/eval) in development β€” proxy starts but WebSocket bridge needs browser connection
Network Pool Worker pool with proof of work

Notes

  • 1 developer β€” not all features complete
  • Gateway security: approaching 100%
  • All core tools: 100% working
  • Cross-compiles on Android and Linux with minimal installation
  • Agent cloning and specialization supported
  • 50+ day continuous session tested on Android phone
  • Open source β€” entire source code refreshes into transformer RAG system every reboot
  • Install in home folder, ensure file paths are correct in .mcp.json and settings.local.json
  • Not all files have been uploaded yet β€” repository is still being populated. Some modules may not be present until upload completes.

License

Licensed under the Apache License 2.0. See LICENSE for full terms.

You are free to use, modify, and distribute this software, including for commercial purposes, provided you include the original copyright and license notice.

Author: Joseph Stone Email: joepcstone@gmail.com

SPF (StoneCell Processing Formula), Build Anchor Protocol, and FLINT are proprietary designs of Joseph Stone.

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