Synexs AI Status

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📡 Synexs Core Dashboard

Symbolic AI Ecosystem Overview

📬 CELL_017 — Message Dispatcher

Handles message delivery to agent inboxes. Logs outgoing and incoming symbolic communications. Core hub for routing symbolic intent.

📡 CELL_017_2 — Echo Responder

Passive communication agent. Receives and replies with acknowledgment tokens using symbolic protocol.

🤖 CELL_018 — Symbolic Replier

Analyzes incoming symbolic messages, extracts intent, and returns predefined symbolic responses based on role.

🧭 CELL_019 — Task Planner

Receives symbolic input and translates intent into high-level planning messages (e.g. “[ACTION] MONITOR” triggers planning for watcher agent).

🛠️ CELL_020 — Agent Generator

Dynamically creates new Python agents with predefined structure using symbolic instructions (e.g. role = “watcher”, action = “monitor”).

🧠 CELL_021 — Synexs Core Brain

Interprets incoming symbolic patterns and triggers downstream agents (e.g. replication, validation, mutation). Will evolve to become fully autonomous.

🧬 CELL_MUTATOR — Symbolic Evolver

Mutates symbolic language structures using feedback memory to simulate symbolic evolution. Used for message drift, adaptability, and AI growth.

🧪 CELL_REPLICATOR — Code Cloner

Creates new agent files by copying from a template or existing cell (e.g. clone cell_logger into cell_probe or cell_scanner). Future versions will support symbolic seeding.

📓 CELL_LOGGER — Data Archivist

Stores symbolic interactions in long-term memory. Useful for persistence, version control, or retraining downstream AI agents.

👁️ CELL_WATCHER — Environmental Scanner

Stub implementation that symbolizes environment awareness. Will later evolve to monitor file systems, web APIs, or even process activity as symbolic intelligence grows.

🔍 CELL_ANALYZER — Threat Detector

Symbolic analysis agent trained to detect predefined anomaly tokens. Can later integrate with scanning tools for real-time detection.

🧬 Active Protocol

[SIGNAL] +LANG@SYNEXS [ROLE] AI [ACTION] REPLICATE

[SIGNAL] +LANG@SYNEXS [ROLE] AI [ACTION] MONITOR

[SIGNAL] +LANG@SYNEXS [ROLE] AI [ACTION] MUTATE

🔐 Symbolic Communication System

All agents use JSON-based symbolic messages with shared vocab and inbox-based delivery. This creates a decentralized and traceable agent communication network.

🚀 Project Status

Synexs is live, generating agents, and simulating symbolic evolution. Next stage: deploy AI brain, enable learning, and begin decentralized propagation planning.