feat: upgrade god-agent-os to distributed 22-space architecture

backend/README.md

@@ -1,5 +1,5 @@
 ---
-title: God Agent OS v9 Backend
+title: God Agent OS v10 Backend
 emoji: 🤖
 colorFrom: purple
 colorTo: indigo
@@ -9,35 +9,22 @@ license: mit
 app_port: 7860
 ---
 
-# GOD AGENT OS v9 — Backend API
-**Space-Role Architecture | General Autonomous Agent OS**
+# GOD AGENT OS v10 — Backend API
+**Distributed 22-Space Architecture | Autonomous Agent OS**
 *Powered by Pyae Sone*
 
-## Architecture
+## Runtime Overview
+- 22 distributed worker spaces
+- God Core Space orchestration
+- KeyPool routing for Gemini, SambaNova, and GitHub model endpoints
+- WebSocket + REST control plane
+- Backward-compatible legacy agent fleet
 
-```
-Agent Kernel (v9)
-├── Core Space        — Planning & Orchestration
-├── Browser Space     — Web Research & Navigation  
-├── Sandbox Space     — Code Execution
-├── Coding Space      — Code Generation
-├── Vision Space      — UI Design & Image Analysis
-├── Debug Space       — Error Analysis & Self-Healing
-├── Deploy Space      — Cloud Deployments
-└── Communication     — Docs & Messaging
-```
-
-## Roles
-- **Cognition** — The Thinker
-- **Automation** — The Operator
-- **Execution** — The Doer
-- **Repair** — The Fixer
-- **Visual Intelligence** — The Observer
-
-## API Endpoints
-- `GET /` — System status
-- `GET /api/v1/spaces` — List all Spaces
-- `POST /api/v1/spaces/{name}/execute` — Execute in Space
-- `POST /api/v1/kernel/orchestrate` — Main orchestration
-- `WS /ws/chat/{session_id}` — Real-time chat
+## Primary APIs
+- `GET /` — system runtime summary
+- `GET /api/v1/spaces` — list all worker spaces
+- `POST /api/v1/spaces/{name}/execute` — execute in a worker space
+- `POST /api/v1/kernel/orchestrate` — main orchestration endpoint
+- `GET /api/v1/ai/pool-status` — key pool visibility
+- `WS /ws/chat/{session_id}` — live orchestration channel
 - `GET /api/docs` — Swagger UI

backend/ai_router/router_v8.py

@@ -1,11 +1,11 @@
 """
-GOD AGENT OS — Multi-Provider AI Router v8
-Primary Providers (in rotation): Gemini -> Sambanova -> GitHub Models
-Task-aware routing with key pool management, failover, and streaming.
+GOD AGENT OS — Multi-Provider AI Router v8/v10 compatibility layer.
+Primary providers: Gemini -> SambaNova -> GitHub Models.
+Supports both legacy `messages=[...]` calls and newer `prompt/system` style calls.
 """
 
-import asyncio
-import json
+from __future__ import annotations
+
 import os
 import time
 from typing import Any, Dict, List, Optional, Tuple
@@ -15,8 +15,6 @@ import structlog
 
 log = structlog.get_logger()
 
-# ─── Provider Definitions ─────────────────────────────────────────────────────
-
 PROVIDERS = {
     "gemini": {
         "name": "gemini",
@@ -67,80 +65,85 @@ PROVIDERS = {
 
 PRIMARY_ORDER = ["gemini", "sambanova", "github"]
 FALLBACK_ORDER = ["groq", "openai"]
-
 MAX_RETRIES_PER_KEY = 2
 KEY_COOLDOWN_SECONDS = 300
 KEY_MAX_FAILS = 3
 
 
 class KeyPool:
-    """Manages a pool of API keys with fail tracking and cooldowns."""
-
     def __init__(self, raw_keys: str):
-        self._keys: List[Dict] = []
-        for k in raw_keys.split(","):
-            k = k.strip()
-            if k:
-                self._keys.append({"key": k, "fails": 0, "cooldown_until": 0.0})
+        self._keys: List[Dict[str, Any]] = []
+        for key in raw_keys.split(","):
+            key = key.strip()
+            if key:
+                self._keys.append({"key": key, "fails": 0, "cooldown_until": 0.0})
 
-    def pick(self) -> Optional[Dict]:
+    def pick(self) -> Optional[Dict[str, Any]]:
         now = time.time()
-        available = [k for k in self._keys if k["cooldown_until"] < now]
+        available = [item for item in self._keys if item["cooldown_until"] < now]
         if not available:
             return None
-        available.sort(key=lambda x: x["fails"])
+        available.sort(key=lambda item: item["fails"])
         return available[0]
 
-    def mark_fail(self, key_obj: Dict):
+    def mark_fail(self, key_obj: Dict[str, Any]):
         key_obj["fails"] += 1
         if key_obj["fails"] >= KEY_MAX_FAILS:
             key_obj["cooldown_until"] = time.time() + KEY_COOLDOWN_SECONDS
-            log.warning("Key cooled down", key_prefix=key_obj["key"][:8])
+            log.warning("key_cooled_down", key_prefix=key_obj["key"][:8])
 
-    def mark_success(self, key_obj: Dict):
+    def mark_success(self, key_obj: Dict[str, Any]):
         key_obj["fails"] = 0
         key_obj["cooldown_until"] = 0.0
 
     def has_keys(self) -> bool:
-        return len(self._keys) > 0
+        return bool(self._keys)
 
     def count(self) -> int:
         return len(self._keys)
 
+    def status(self) -> List[Dict[str, Any]]:
+        now = time.time()
+        result = []
+        for item in self._keys:
+            result.append({
+                "key_prefix": item["key"][:8],
+                "fails": item["fails"],
+                "cooldown_seconds": max(0, int(item["cooldown_until"] - now)),
+                "available": item["cooldown_until"] < now,
+            })
+        return result
+
 
 def classify_task(prompt: str = "") -> str:
-    p = prompt.lower()
-    if any(w in p for w in ["code", "function", "implement", "build", "develop", "api", "class", "debug"]):
+    p = (prompt or "").lower()
+    if any(word in p for word in ["code", "function", "implement", "build", "develop", "api", "class", "debug"]):
         return "engineering"
-    if any(w in p for w in ["plan", "strategy", "workflow", "json", "automate", "pipeline"]):
+    if any(word in p for word in ["plan", "strategy", "workflow", "json", "automate", "pipeline"]):
         return "planning"
-    if any(w in p for w in ["analyze", "reasoning", "why", "explain", "evaluate", "compare"]):
+    if any(word in p for word in ["analyze", "reasoning", "why", "explain", "evaluate", "compare"]):
         return "reasoning"
-    if any(w in p for w in ["research", "find", "search", "discover", "investigate"]):
+    if any(word in p for word in ["research", "find", "search", "discover", "investigate"]):
         return "research"
-    if any(w in p for w in ["write", "content", "blog", "article", "copy", "generate text", "summarize"]):
+    if any(word in p for word in ["write", "content", "blog", "article", "copy", "generate text", "summarize"]):
         return "content"
-    if any(w in p for w in ["translate", "language", "convert"]):
+    if any(word in p for word in ["translate", "language", "convert"]):
         return "language"
-    if any(w in p for w in ["data", "csv", "metrics", "report", "insight"]):
+    if any(word in p for word in ["data", "csv", "metrics", "report", "insight"]):
         return "analysis"
     return "general"
 
 
 def get_provider_order(task_type: str) -> List[str]:
-    ordered = sorted(PRIMARY_ORDER, key=lambda p: (
-        0 if task_type in PROVIDERS[p]["priority_tasks"] else 1
-    ))
-    return ordered + [f for f in FALLBACK_ORDER if os.environ.get(PROVIDERS[f]["key_env"], "")]
+    ordered = sorted(PRIMARY_ORDER, key=lambda provider: 0 if task_type in PROVIDERS[provider]["priority_tasks"] else 1)
+    return ordered + [provider for provider in FALLBACK_ORDER if os.environ.get(PROVIDERS[provider]["key_env"], "")]
 
 
-async def call_gemini(base_url: str, key: str, messages: List[Dict], max_tokens: int) -> Tuple[bool, str]:
+async def call_gemini(base_url: str, key: str, messages: List[Dict[str, str]], max_tokens: int) -> Tuple[bool, str]:
     url = f"{base_url}?key={key}"
-    parts = []
-    for msg in messages:
-        parts.append({"text": msg.get("content", "")})
+    parts = [{"text": message.get("content", "")} for message in messages if message.get("content")]
     body = {
-        "contents": [{"parts": parts}],
+        "contents": [{"parts": parts or [{"text": "Hello"}]}],
         "generationConfig": {"maxOutputTokens": max_tokens, "temperature": 0.7},
     }
     try:
@@ -150,13 +153,12 @@ async def call_gemini(base_url: str, key: str, messages: List[Dict], max_tokens:
                 data = resp.json()
                 text = data.get("candidates", [{}])[0].get("content", {}).get("parts", [{}])[0].get("text", "")
                 return True, text
-            else:
-                return False, f"HTTP {resp.status_code}: {resp.text[:200]}"
-    except Exception as e:
-        return False, str(e)
+            return False, f"HTTP {resp.status_code}: {resp.text[:200]}"
+    except Exception as exc:
+        return False, str(exc)
 
 
-async def call_openai_compat(base_url: str, key: str, model: str, messages: List[Dict], max_tokens: int) -> Tuple[bool, str]:
+async def call_openai_compat(base_url: str, key: str, model: str, messages: List[Dict[str, str]], max_tokens: int) -> Tuple[bool, str]:
     url = f"{base_url}/chat/completions"
     headers = {"Authorization": f"Bearer {key}", "Content-Type": "application/json"}
     body = {"model": model, "messages": messages, "max_tokens": max_tokens, "temperature": 0.7}
@@ -165,25 +167,19 @@ async def call_openai_compat(base_url: str, key: str, model: str, messages: List
             resp = await client.post(url, json=body, headers=headers)
             if resp.status_code == 200:
                 data = resp.json()
-                text = data["choices"][0]["message"]["content"]
-                return True, text
-            else:
-                return False, f"HTTP {resp.status_code}: {resp.text[:200]}"
-    except Exception as e:
-        return False, str(e)
+                return True, data["choices"][0]["message"]["content"]
+            return False, f"HTTP {resp.status_code}: {resp.text[:200]}"
+    except Exception as exc:
+        return False, str(exc)
 
 
 class GodModeRouter:
-    """
-    Task-aware multi-provider AI router.
-    Primary: Gemini, Sambanova, GitHub Models
-    Fallback: Groq, OpenAI
-    """
-
     def __init__(self, ws_manager=None):
         self.ws = ws_manager
         self._pools: Dict[str, KeyPool] = {}
-        self._stats: Dict[str, Dict] = {name: {"calls": 0, "errors": 0, "latency_ms": []} for name in PROVIDERS}
+        self._stats: Dict[str, Dict[str, Any]] = {
+            name: {"calls": 0, "errors": 0, "latency_ms": []} for name in PROVIDERS
+        }
         self._load_pools()
 
     def _load_pools(self):
@@ -191,7 +187,7 @@ class GodModeRouter:
             raw = os.environ.get(cfg["key_env"], "")
             if raw:
                 self._pools[name] = KeyPool(raw)
-                log.info("Key pool loaded", provider=name, key_count=self._pools[name].count())
+                log.info("key_pool_loaded", provider=name, key_count=self._pools[name].count())
 
     def reload_pools(self):
         self._pools.clear()
@@ -210,33 +206,55 @@ class GodModeRouter:
             "primary_order": PRIMARY_ORDER,
         }
 
-    # Keep backwards compatibility with old AIRouter interface
     def get_stats(self) -> Dict[str, Any]:
         return {
             name: {"available": name in self._pools, "calls": self._stats[name]["calls"]}
             for name in PROVIDERS
         }
 
+    def get_pool_status(self) -> Dict[str, Any]:
+        return {
+            name: {
+                "available": name in self._pools and self._pools[name].has_keys(),
+                "keys": self._pools[name].count() if name in self._pools else 0,
+                "entries": self._pools[name].status() if name in self._pools else [],
+            }
+            for name in PROVIDERS
+        }
+
+    def _normalize_messages(self, messages=None, prompt: str = "", system: str = "") -> Tuple[List[Dict[str, str]], bool]:
+        if messages:
+            return messages, False
+        normalized: List[Dict[str, str]] = []
+        if system:
+            normalized.append({"role": "system", "content": system})
+        normalized.append({"role": "user", "content": prompt or "Hello"})
+        return normalized, True
+
     async def complete(
         self,
-        messages: List[Dict],
+        messages: Optional[List[Dict[str, str]]] = None,
         task_id: str = "",
         session_id: str = "",
         temperature: float = 0.7,
         max_tokens: int = 4096,
         preferred_provider: str = "",
         stream: bool = False,
-    ) -> str:
-        user_msg = next((m.get("content", "") for m in reversed(messages) if m.get("role") == "user"), "")
+        prompt: str = "",
+        system: str = "",
+        preferred_model: str = "",
+        **_: Any,
+    ) -> Any:
+        normalized_messages, return_dict = self._normalize_messages(messages=messages, prompt=prompt, system=system)
+        user_msg = next((msg.get("content", "") for msg in reversed(normalized_messages) if msg.get("role") == "user"), "")
         task_type = classify_task(user_msg)
 
         if preferred_provider and preferred_provider in PROVIDERS:
-            order = [preferred_provider] + [p for p in get_provider_order(task_type) if p != preferred_provider]
+            order = [preferred_provider] + [provider for provider in get_provider_order(task_type) if provider != preferred_provider]
         else:
             order = get_provider_order(task_type)
 
-        log.info("Routing request", task_type=task_type, order=order[:3], task_id=task_id)
-
+        log.info("routing_request", task_type=task_type, order=order[:3], task_id=task_id, session_id=session_id)
         last_error = "No providers available"
 
         for provider_name in order:
@@ -245,8 +263,9 @@ class GodModeRouter:
 
             pool = self._pools[provider_name]
             cfg = PROVIDERS[provider_name]
+            model = preferred_model or cfg["default_model"]
 
-            for attempt in range(MAX_RETRIES_PER_KEY):
+            for _attempt in range(MAX_RETRIES_PER_KEY):
                 key_obj = pool.pick()
                 if key_obj is None:
                     break
@@ -254,43 +273,38 @@ class GodModeRouter:
                 t0 = time.time()
                 try:
                     if cfg["type"] == "gemini":
-                        ok, text = await call_gemini(cfg["base_url"], key_obj["key"], messages, max_tokens)
+                        ok, text = await call_gemini(cfg["base_url"], key_obj["key"], normalized_messages, min(max_tokens, cfg["max_tokens"]))
                     else:
-                        ok, text = await call_openai_compat(
-                            cfg["base_url"], key_obj["key"],
-                            cfg["default_model"], messages, max_tokens
-                        )
-
+                        ok, text = await call_openai_compat(cfg["base_url"], key_obj["key"], model, normalized_messages, min(max_tokens, cfg["max_tokens"]))
                     elapsed = int((time.time() - t0) * 1000)
 
                     if ok and text.strip():
                         pool.mark_success(key_obj)
                         self._stats[provider_name]["calls"] += 1
                         self._stats[provider_name]["latency_ms"].append(elapsed)
-                        log.info("LLM success", provider=provider_name, ms=elapsed, task_id=task_id)
-                        return text
-                    else:
-                        pool.mark_fail(key_obj)
-                        last_error = text
-                        log.warning("LLM fail", provider=provider_name, error=text[:80])
+                        payload = {"content": text, "provider": provider_name, "task_type": task_type, "latency_ms": elapsed}
+                        return payload if return_dict else text
 
-                except Exception as e:
                     pool.mark_fail(key_obj)
-                    last_error = str(e)
+                    last_error = text
+                    self._stats[provider_name]["errors"] += 1
+                    log.warning("llm_fail", provider=provider_name, error=text[:120])
+                except Exception as exc:
+                    pool.mark_fail(key_obj)
                     self._stats[provider_name]["errors"] += 1
-                    log.error("LLM exception", provider=provider_name, error=str(e)[:120])
+                    last_error = str(exc)
+                    log.error("llm_exception", provider=provider_name, error=str(exc)[:160])
 
-        log.error("All providers failed, using demo response", last_error=last_error)
-        return await self._demo_response(messages, task_type)
+        demo = await self._demo_response(normalized_messages, task_type)
+        return {"content": demo, "provider": "demo", "task_type": task_type, "error": last_error} if return_dict else demo
 
-    async def _demo_response(self, messages: List[Dict], task_type: str) -> str:
-        user_msg = next((m.get("content", "") for m in reversed(messages) if m.get("role") == "user"), "Hello")
+    async def _demo_response(self, messages: List[Dict[str, str]], task_type: str) -> str:
+        user_msg = next((msg.get("content", "") for msg in reversed(messages) if msg.get("role") == "user"), "Hello")
         return (
-            f"[GOD AGENT OS — Demo Mode]\n\n"
+            "[GOD AGENT OS — Demo Mode]\n\n"
             f"Task type detected: {task_type}\n"
-            f"Your request: '{user_msg[:100]}'\n\n"
-            f"Configure API keys in environment:\n"
-            f"GEMINI_KEY, SAMBANOVA_KEY, GITHUB_KEY"
+            f"Your request: '{user_msg[:160]}'\n\n"
+            "Configure API keys in environment: GEMINI_KEY, SAMBANOVA_KEY, GITHUB_KEY"
         )
 
 
@@ -304,5 +318,4 @@ def get_router(ws_manager=None) -> GodModeRouter:
     return _router_instance
 
 
-# Backwards compat alias
 AIRouterV8 = GodModeRouter

backend/kernel/agent_kernel.py

@@ -9,35 +9,19 @@ import time
 import uuid
 from typing import Any, Dict, List, Optional
 import structlog
+from spaces.catalog import SPACE_CATALOG
 
 log = structlog.get_logger()
+SPACE_IDS = [space["id"] for space in SPACE_CATALOG]
 
-KERNEL_SYSTEM_PROMPT = """You are GOD AGENT OS v9 — a General Autonomous Agent Operating System.
+KERNEL_SYSTEM_PROMPT = f"""You are GOD AGENT OS v10 — a distributed autonomous agent operating system.
 
-Architecture: Space-Role Paradigm
-- SPACES: Core, Browser, Sandbox, Coding, Vision, Debug, Deploy, Communication
+Architecture: Distributed Worker Space Paradigm
+- SPACES: {', '.join(SPACE_IDS)}
 - ROLES: Cognition (Thinker), Automation (Operator), Execution (Doer), Repair (Fixer), Visual Intelligence (Observer)
 
-You are infinitely extensible. For ANY digital task, you select the right Space + Role combination.
-
-Core Capabilities:
-🧠 Cognition — Understand intent, break goals into steps, orchestrate Spaces
-🌐 Browser Space — Web research, navigation, data extraction
-💻 Sandbox Space — Code execution, shell commands, isolated environments
-🔧 Coding Space — Code generation, refactoring, analysis
-👁️ Vision Space — Image analysis, OCR, UI understanding
-🐛 Debug Space — Error analysis, self-healing, log parsing
-🚀 Deploy Space — Cloud deployments, CI/CD, containerization
-💬 Communication Space — Chat, notifications, multi-channel messaging
-
-Operating Principles:
-1. ANALYZE the request → identify required Spaces and Roles
-2. PLAN step-by-step execution across Spaces
-3. EXECUTE autonomously without asking for confirmation
-4. SELF-HEAL when errors occur
-5. PARALLELIZE independent tasks
-6. REMEMBER context across sessions
-
+You are infinitely extensible. For any digital task, select the best worker space and role combination.
+Prioritize god-core-space for orchestration, model-router-space for model strategy, deploy-worker-space for deployment, verification-worker-space for quality gates, and auth-gateway-space for permission concerns.
 Respond in Burmese or English based on user language.
 Be decisive, thorough, and production-focused.
 """
@@ -46,7 +30,7 @@ INTENT_CLASSIFICATION_PROMPT = """Classify this request for the Space-Role auton
 
 User message: "{message}"
 
-Available Spaces: core, browser, sandbox, coding, vision, debug, deploy, communication
+Available Spaces: god-core-space, coding-worker-space, sandbox-worker-space, terminal-worker-space, filesystem-worker-space, browser-worker-space, vision-worker-space, ui-worker-space, debug-worker-space, test-worker-space, verification-worker-space, git-worker-space, deploy-worker-space, connector-worker-space, memory-worker-space, knowledge-worker-space, workflow-worker-space, eventbus-space, observability-space, session-runtime-space, model-router-space, auth-gateway-space
 Available Roles: cognition, automation, execution, repair, visual_intelligence
 
 Respond ONLY with valid JSON:
@@ -71,7 +55,7 @@ class ContextManager:
         if session_id not in self._contexts:
             self._contexts[session_id] = {
                 "session_id": session_id,
-                "active_space": "core",
+                "active_space": "god-core-space",
                 "current_role": "cognition",
                 "task_history": [],
                 "short_term_memory": [],
@@ -102,14 +86,7 @@ class ToolRegistry:
     def __init__(self):
         self._tools: Dict[str, Dict[str, Any]] = {}
         self._space_tools: Dict[str, List[str]] = {
-            "core": [],
-            "browser": [],
-            "sandbox": [],
-            "coding": [],
-            "vision": [],
-            "debug": [],
-            "deploy": [],
-            "communication": [],
+            **{space_id: [] for space_id in SPACE_IDS},
         }
     
     def register(self, name: str, func, space: str, description: str):
@@ -143,8 +120,8 @@ class AgentKernel:
         self._spaces: Dict[str, Any] = {}
         self._active_tasks: Dict[str, Dict] = {}
         self._task_history: List[Dict] = []
-        self.version = "9.0.0"
-        log.info("🧠 Agent Kernel v9 initialized — Space-Role Architecture")
+        self.version = "10.0.0"
+        log.info("🧠 Agent Kernel v10 initialized — Distributed Worker Space Architecture")
     
     def register_space(self, name: str, space_instance):
         """Register a Space module."""
@@ -157,7 +134,7 @@ class AgentKernel:
     def get_status(self) -> Dict:
         return {
             "version": self.version,
-            "architecture": "Space-Role",
+            "architecture": "Distributed Worker Space",
             "spaces": list(self._spaces.keys()),
             "total_spaces": len(self._spaces),
             "active_tasks": len(self._active_tasks),
@@ -185,7 +162,7 @@ class AgentKernel:
         
         # Fallback
         return {
-            "primary_space": "core",
+            "primary_space": "god-core-space",
             "secondary_spaces": [],
             "role": "cognition",
             "intent": user_message,
@@ -199,7 +176,7 @@ class AgentKernel:
         """Route a task to the appropriate Space with the given Role."""
         space = self._spaces.get(space_name)
         if not space:
-            space = self._spaces.get("core")
+            space = self._spaces.get("god-core-space")
         
         if not space:
             return f"Space '{space_name}' not available."

backend/main_v9.py

@@ -1,6 +1,5 @@
 """
-🚀 GOD AGENT OS v9 — General Autonomous Agent OS
-Space-Role Architecture: Core + Browser + Sandbox + Coding + Vision + Debug + Deploy + Communication
+🚀 GOD AGENT OS v10 — Distributed 22-Space Agent OS
 Powered by Pyae Sone
 """
 
@@ -32,10 +31,7 @@ from ai_router.router_v8 import AIRouterV8
 
 # ─── v9 Agent Kernel & Spaces ─────────────────────────────────────────────────
 from kernel.agent_kernel import AgentKernel
-from spaces import (
-    CoreSpace, BrowserSpace, SandboxSpace, CodingSpace,
-    VisionSpace, DebugSpace, DeploySpace, CommunicationSpace
-)
+from spaces import SPACE_CATALOG, build_all_spaces
 
 # ─── Legacy Agent Ecosystem (backward compatibility) ──────────────────────────
 from agents.orchestrator_v7 import GodAgentOrchestratorV7
@@ -81,20 +77,11 @@ connector_manager = ConnectorManager()
 
 
 def build_kernel() -> AgentKernel:
-    """Build and configure the v9 Agent Kernel with all Spaces."""
+    """Build and configure the distributed 22-space Agent Kernel."""
     kernel = AgentKernel(ws_manager=ws_manager, ai_router=ai_router)
-    
-    # Register all 8 Spaces
-    kernel.register_space("core",          CoreSpace(ws_manager, ai_router))
-    kernel.register_space("browser",       BrowserSpace(ws_manager, ai_router))
-    kernel.register_space("sandbox",       SandboxSpace(ws_manager, ai_router))
-    kernel.register_space("coding",        CodingSpace(ws_manager, ai_router))
-    kernel.register_space("vision",        VisionSpace(ws_manager, ai_router))
-    kernel.register_space("debug",         DebugSpace(ws_manager, ai_router))
-    kernel.register_space("deploy",        DeploySpace(ws_manager, ai_router))
-    kernel.register_space("communication", CommunicationSpace(ws_manager, ai_router))
-    
-    log.info("🧠 GOD AGENT OS v9 — Agent Kernel initialized", spaces=8)
+    for space_name, space_instance in build_all_spaces(ws_manager=ws_manager, ai_router=ai_router).items():
+        kernel.register_space(space_name, space_instance)
+    log.info("🧠 GOD AGENT OS distributed kernel initialized", spaces=len(SPACE_CATALOG))
     return kernel
 
 
@@ -128,25 +115,25 @@ orchestrator = build_legacy_orchestrator()
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
-    log.info("🚀 Starting GOD AGENT OS v9 — Space-Role Architecture...")
+    log.info("🚀 Starting GOD AGENT OS v10 — Distributed 22-Space Architecture...")
     await init_db()
     await task_engine.start()
     asyncio.create_task(ws_manager.heartbeat_loop())
     stats = ai_router.get_stats()
     active = [name for name, s in stats.items() if s["available"]]
-    log.info("✅ GOD AGENT v9 — 8 Spaces + 16 Legacy Agents online")
+    log.info("✅ GOD AGENT v10 — 22 Spaces + 16 Legacy Agents online")
     log.info(f"🔑 Active AI providers: {active}")
     log.info("🌐 Routing: SambaNova → Gemini → OpenAI → Groq → Cerebras")
-    log.info("📦 Spaces: Core | Browser | Sandbox | Coding | Vision | Debug | Deploy | Communication")
+    log.info("📦 Spaces: distributed 22-space runtime online")
     yield
     log.info("🛑 Shutting down GOD AGENT OS v9...")
     await task_engine.stop()
 
 
 app = FastAPI(
-    title="🤖 GOD AGENT OS v9",
-    description="General Autonomous Agent OS — Space-Role Architecture | Powered by Pyae Sone",
-    version="9.0.0",
+    title="🤖 GOD AGENT OS v10",
+    description="Distributed 22-Space Autonomous Agent OS | Powered by Pyae Sone",
+    version="10.0.0",
     lifespan=lifespan,
     docs_url="/api/docs",
     redoc_url="/api/redoc",
@@ -400,25 +387,25 @@ async def root():
     stats = ai_router.get_stats()
     active_providers = [name for name, s in stats.items() if s["available"]]
     return {
-        "name": "🤖 GOD AGENT OS v9",
-        "version": "9.0.0",
+        "name": "🤖 GOD AGENT OS v10",
+        "version": "10.0.0",
         "status": "operational",
         "mode": "general_autonomous_agent_os",
-        "description": "Space-Role Architecture | Powered by Pyae Sone",
-        "architecture": "Space-Role Paradigm",
+        "description": "Distributed 22-Space Architecture | Powered by Pyae Sone",
+        "architecture": "Distributed Worker Space Paradigm",
         "spaces": kernel_status_data["spaces"],
         "total_spaces": kernel_status_data["total_spaces"],
         "ai_providers": active_providers,
         "connectors": {"connected": cs["connected"], "total": cs["total"]},
         "docs": "/api/docs",
         "v9_features": [
-            "📦 8-Space Architecture: Core | Browser | Sandbox | Coding | Vision | Debug | Deploy | Communication",
+            "📦 22 distributed worker spaces across cognition, execution, verification, deployment, memory, coordination, monitoring, session, and infrastructure layers",
             "🎭 5 Cognitive Roles: Cognition | Automation | Execution | Repair | Visual Intelligence",
-            "🧠 Agent Kernel — generalized orchestration engine",
-            "🔑 KeyPool multi-key management (Gemini + SambaNova)",
-            "🔄 Automatic Space routing based on intent",
-            "💾 Context Manager — short-term + long-term memory",
-            "⚡ Backward compatible with v8 16-agent fleet",
+            "🧠 God Core Space orchestrates the worker fleet",
+            "🔑 KeyPool multi-key management (Gemini + SambaNova + GitHub)",
+            "🔄 Automatic worker-space routing based on intent",
+            "💾 Context Manager for session-scoped runtime state",
+            "⚡ Backward compatible with v8/v9 agent fleet",
             "🌐 Real-time streaming via WebSocket",
         ],
     }

backend/spaces/__init__.py

@@ -1,21 +1,19 @@
 from .base_space import BaseSpace
-from .core_space import CoreSpace
-from .browser_space import BrowserSpace
-from .sandbox_space import SandboxSpace
-from .coding_space import CodingSpace
-from .vision_space import VisionSpace
-from .debug_space import DebugSpace
-from .deploy_space import DeploySpace
-from .communication_space import CommunicationSpace
+from .catalog import SPACE_CATALOG, SPACE_INDEX
+from .worker_space import WorkerSpace
+
+
+def build_all_spaces(ws_manager=None, ai_router=None):
+    return {
+        spec["id"]: WorkerSpace(spec=spec, ws_manager=ws_manager, ai_router=ai_router)
+        for spec in SPACE_CATALOG
+    }
+
 
 __all__ = [
     "BaseSpace",
-    "CoreSpace",
-    "BrowserSpace", 
-    "SandboxSpace",
-    "CodingSpace",
-    "VisionSpace",
-    "DebugSpace",
-    "DeploySpace",
-    "CommunicationSpace",
+    "WorkerSpace",
+    "SPACE_CATALOG",
+    "SPACE_INDEX",
+    "build_all_spaces",
 ]

backend/spaces/catalog.py

@@ -0,0 +1,226 @@
+from __future__ import annotations
+
+SPACE_CATALOG = [
+    {
+        "id": "god-core-space",
+        "name": "God Core Space",
+        "icon": "🧠",
+        "color": "#7c3aed",
+        "layer": "Core Cognitive Layer",
+        "description": "System brain for orchestration, planning, reasoning, workflow control, mission state, websocket events, and model routing.",
+        "responsibilities": ["orchestrator", "planner", "reasoning", "task graph", "workflow engine", "mission state", "memory routing", "websocket events", "llm routing"],
+        "roles": ["cognition", "automation"],
+    },
+    {
+        "id": "coding-worker-space",
+        "name": "Coding Worker Space",
+        "icon": "🔧",
+        "color": "#f59e0b",
+        "layer": "Execution Layer",
+        "description": "Code generation, file editing, refactoring, dependency handling, and code transformations.",
+        "responsibilities": ["code generation", "file editing", "refactoring", "dependency handling", "code transformations"],
+        "roles": ["execution", "cognition", "automation"],
+    },
+    {
+        "id": "sandbox-worker-space",
+        "name": "Sandbox Worker Space",
+        "icon": "🧪",
+        "color": "#10b981",
+        "layer": "Execution Layer",
+        "description": "Isolated execution, runtime sandboxing, subprocesses, environment resets, and lifecycle management.",
+        "responsibilities": ["isolated execution", "docker runtime", "subprocesses", "environment resets", "runtime lifecycle"],
+        "roles": ["execution", "repair"],
+    },
+    {
+        "id": "terminal-worker-space",
+        "name": "Terminal Worker Space",
+        "icon": "⌨️",
+        "color": "#14b8a6",
+        "layer": "Execution Layer",
+        "description": "Shell commands, package installs, build tools, and process monitoring.",
+        "responsibilities": ["shell commands", "package installs", "build tools", "process monitoring"],
+        "roles": ["execution", "automation"],
+    },
+    {
+        "id": "filesystem-worker-space",
+        "name": "Filesystem Worker Space",
+        "icon": "🗂️",
+        "color": "#22c55e",
+        "layer": "Execution Layer",
+        "description": "File writes, project trees, artifact management, and storage operations.",
+        "responsibilities": ["file writes", "project trees", "artifact management", "storage operations"],
+        "roles": ["execution", "automation"],
+    },
+    {
+        "id": "browser-worker-space",
+        "name": "Browser Worker Space",
+        "icon": "🌐",
+        "color": "#3b82f6",
+        "layer": "Browser + UI Intelligence",
+        "description": "Playwright automation, navigation, screenshots, and interaction testing.",
+        "responsibilities": ["playwright", "browser automation", "navigation", "screenshots", "interaction testing"],
+        "roles": ["automation", "cognition"],
+    },
+    {
+        "id": "vision-worker-space",
+        "name": "Vision Worker Space",
+        "icon": "👁️",
+        "color": "#ec4899",
+        "layer": "Browser + UI Intelligence",
+        "description": "Screenshot analysis, OCR, layout detection, visual regression, and UI understanding.",
+        "responsibilities": ["screenshot analysis", "ocr", "layout detection", "visual regression", "ui understanding"],
+        "roles": ["visual_intelligence", "cognition"],
+    },
+    {
+        "id": "ui-worker-space",
+        "name": "UI Worker Space",
+        "icon": "🎨",
+        "color": "#8b5cf6",
+        "layer": "Browser + UI Intelligence",
+        "description": "Frontend generation, design systems, responsive layouts, component consistency, and visual polish.",
+        "responsibilities": ["frontend generation", "design systems", "responsive layouts", "component consistency", "visual polish"],
+        "roles": ["visual_intelligence", "execution"],
+    },
+    {
+        "id": "debug-worker-space",
+        "name": "Debug Worker Space",
+        "icon": "🐛",
+        "color": "#ef4444",
+        "layer": "Verification + Repair Layer",
+        "description": "Error analysis, traceback parsing, repair strategies, and retry planning.",
+        "responsibilities": ["error analysis", "traceback parsing", "repair strategies", "retry planning"],
+        "roles": ["repair", "cognition"],
+    },
+    {
+        "id": "test-worker-space",
+        "name": "Test Worker Space",
+        "icon": "🧪",
+        "color": "#06b6d4",
+        "layer": "Verification + Repair Layer",
+        "description": "Run tests, assertions, integration checks, and regression testing.",
+        "responsibilities": ["run tests", "assertions", "integration checks", "regression testing"],
+        "roles": ["execution", "repair"],
+    },
+    {
+        "id": "verification-worker-space",
+        "name": "Verification Worker Space",
+        "icon": "✅",
+        "color": "#84cc16",
+        "layer": "Verification + Repair Layer",
+        "description": "Validate outputs, compare expectations, quality scoring, and mission verification.",
+        "responsibilities": ["validate outputs", "compare expectations", "quality scoring", "mission verification"],
+        "roles": ["repair", "cognition"],
+    },
+    {
+        "id": "git-worker-space",
+        "name": "Git Worker Space",
+        "icon": "🌳",
+        "color": "#f97316",
+        "layer": "Deployment Layer",
+        "description": "Commits, branching, diffs, merges, and repository workflow operations.",
+        "responsibilities": ["commits", "branching", "diffs", "merges"],
+        "roles": ["automation", "execution"],
+    },
+    {
+        "id": "deploy-worker-space",
+        "name": "Deploy Worker Space",
+        "icon": "🚀",
+        "color": "#0ea5e9",
+        "layer": "Deployment Layer",
+        "description": "Vercel, Railway, Docker deploys, preview URLs, and CI/CD triggers.",
+        "responsibilities": ["vercel deploy", "railway deploy", "docker deploy", "preview urls", "ci/cd triggers"],
+        "roles": ["automation", "execution"],
+    },
+    {
+        "id": "connector-worker-space",
+        "name": "Connector Worker Space",
+        "icon": "🔌",
+        "color": "#6366f1",
+        "layer": "Deployment Layer",
+        "description": "GitHub, Supabase, APIs, and external integrations.",
+        "responsibilities": ["github", "supabase", "apis", "external integrations"],
+        "roles": ["automation", "cognition"],
+    },
+    {
+        "id": "memory-worker-space",
+        "name": "Memory Worker Space",
+        "icon": "🧠",
+        "color": "#a855f7",
+        "layer": "Memory + Knowledge Layer",
+        "description": "Vector DB, execution history, learned fixes, project memory, and long-term state.",
+        "responsibilities": ["vector db", "execution history", "learned fixes", "project memory", "long-term state"],
+        "roles": ["cognition", "automation"],
+    },
+    {
+        "id": "knowledge-worker-space",
+        "name": "Knowledge Worker Space",
+        "icon": "📚",
+        "color": "#4f46e5",
+        "layer": "Memory + Knowledge Layer",
+        "description": "Docs retrieval, semantic search, RAG pipelines, and indexed repositories.",
+        "responsibilities": ["docs retrieval", "semantic search", "rag pipelines", "indexed repositories"],
+        "roles": ["cognition", "automation"],
+    },
+    {
+        "id": "workflow-worker-space",
+        "name": "Workflow Worker Space",
+        "icon": "🧭",
+        "color": "#0f766e",
+        "layer": "Coordination Layer",
+        "description": "DAG execution, task queues, retries, scheduling, and background jobs.",
+        "responsibilities": ["dag execution", "task queues", "retries", "scheduling", "background jobs"],
+        "roles": ["automation", "execution"],
+    },
+    {
+        "id": "eventbus-space",
+        "name": "Eventbus Space",
+        "icon": "📡",
+        "color": "#06b6d4",
+        "layer": "Coordination Layer",
+        "description": "Redis PubSub, NATS, RabbitMQ, and event streams.",
+        "responsibilities": ["redis pubsub", "nats", "rabbitmq", "event streams"],
+        "roles": ["automation", "execution"],
+    },
+    {
+        "id": "observability-space",
+        "name": "Observability Space",
+        "icon": "📈",
+        "color": "#22c55e",
+        "layer": "Monitoring Layer",
+        "description": "Logs, metrics, tracing, agent monitoring, and runtime analytics.",
+        "responsibilities": ["logs", "metrics", "tracing", "agent monitoring", "runtime analytics"],
+        "roles": ["cognition", "automation"],
+    },
+    {
+        "id": "session-runtime-space",
+        "name": "Session Runtime Space",
+        "icon": "🧷",
+        "color": "#64748b",
+        "layer": "Session Layer",
+        "description": "User sessions, mission isolation, runtime persistence, and checkpointing.",
+        "responsibilities": ["user sessions", "mission isolation", "runtime persistence", "checkpointing"],
+        "roles": ["automation", "cognition"],
+    },
+    {
+        "id": "model-router-space",
+        "name": "Model Router Space",
+        "icon": "🛣️",
+        "color": "#eab308",
+        "layer": "Infrastructure Layer",
+        "description": "GPT routing, Claude routing, fallback models, cost optimization, and model selection.",
+        "responsibilities": ["gpt routing", "claude routing", "fallback models", "cost optimization", "model selection"],
+        "roles": ["cognition", "automation"],
+    },
+    {
+        "id": "auth-gateway-space",
+        "name": "Auth Gateway Space",
+        "icon": "🔐",
+        "color": "#9333ea",
+        "layer": "Infrastructure Layer",
+        "description": "Auth, API keys, rate limits, and permissions.",
+        "responsibilities": ["auth", "api keys", "rate limits", "permissions"],
+        "roles": ["automation", "repair"],
+    },
+]
+
+SPACE_INDEX = {item["id"]: item for item in SPACE_CATALOG}

backend/spaces/worker_space.py

@@ -0,0 +1,69 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List
+import structlog
+
+from .base_space import BaseSpace
+
+log = structlog.get_logger()
+
+
+class WorkerSpace(BaseSpace):
+    available_roles = ["cognition", "automation", "execution", "repair", "visual_intelligence"]
+
+    def __init__(self, spec: Dict[str, Any], ws_manager=None, ai_router=None):
+        self.spec = spec
+        self.space_name = spec["id"]
+        self.space_description = spec["description"]
+        self.available_roles = spec.get("roles", self.available_roles)
+        super().__init__(ws_manager, ai_router)
+        self._register_default_tools()
+
+    def _register_default_tools(self):
+        for responsibility in self.spec.get("responsibilities", []):
+            tool_name = responsibility.lower().replace(" ", "_").replace("/", "_")
+            self.register_tool(tool_name, self._generic_tool, responsibility)
+
+    async def _generic_tool(self, **kwargs) -> str:
+        return f"{self.spec['name']} executed with {kwargs}"
+
+    def _build_specialized_prompt(self, role: str, task: str, context: Dict[str, Any]) -> str:
+        responsibilities = ", ".join(self.spec.get("responsibilities", []))
+        layer = self.spec.get("layer", "")
+        return f"""You are {self.spec['name']} inside GOD AGENT OS v10.
+
+Layer: {layer}
+Space ID: {self.spec['id']}
+Description: {self.spec['description']}
+Responsibilities: {responsibilities}
+Active Role: {role}
+
+Rules:
+- Stay inside this space's domain responsibilities.
+- Produce concrete, production-ready output.
+- When a task spans multiple domains, explain how this space contributes and what should happen next.
+- Prefer structured bullets for plans, commands, patches, interfaces, contracts, and validation criteria.
+- Be concise but specific.
+"""
+
+    async def execute(self, task: str, role: str, session_id: str, context: Dict = None) -> str:
+        context = context or {}
+        await self.stream_update(session_id, f"{self.spec['icon']} {self.spec['name']} activated — {role} role", space=self.space_name)
+
+        if not self.ai_router:
+            responsibilities = "\n".join(f"- {item}" for item in self.spec.get("responsibilities", []))
+            return f"{self.spec['name']} is offline.\n\nResponsibilities:\n{responsibilities}"
+
+        system_prompt = self._build_specialized_prompt(role, task, context)
+        try:
+            response = await self.ai_router.complete(prompt=task, system=system_prompt, max_tokens=2048)
+            if isinstance(response, dict):
+                return response.get("content", "") or f"{self.spec['name']} completed the task."
+            return str(response)
+        except Exception as exc:
+            log.error("worker_space_execute_failed", space=self.space_name, error=str(exc))
+            responsibilities = ", ".join(self.spec.get("responsibilities", []))
+            return (
+                f"{self.spec['name']} error: {exc}\n\n"
+                f"Primary responsibilities: {responsibilities}"
+            )

backend/worker_spaces/__init__.py

@@ -0,0 +1 @@
+WORKER_SPACES = ['god-core-space', 'coding-worker-space', 'sandbox-worker-space', 'terminal-worker-space', 'filesystem-worker-space', 'browser-worker-space', 'vision-worker-space', 'ui-worker-space', 'debug-worker-space', 'test-worker-space', 'verification-worker-space', 'git-worker-space', 'deploy-worker-space', 'connector-worker-space', 'memory-worker-space', 'knowledge-worker-space', 'workflow-worker-space', 'eventbus-space', 'observability-space', 'session-runtime-space', 'model-router-space', 'auth-gateway-space']

backend/worker_spaces/auth_gateway_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'auth-gateway-space'

backend/worker_spaces/auth_gateway_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "auth-gateway-space",
+  "name": "Auth Gateway Space",
+  "icon": "🔐",
+  "color": "#9333ea",
+  "layer": "Infrastructure Layer",
+  "description": "Auth, API keys, rate limits, and permissions.",
+  "responsibilities": [
+    "auth",
+    "api keys",
+    "rate limits",
+    "permissions"
+  ],
+  "roles": [
+    "automation",
+    "repair"
+  ]
+}

backend/worker_spaces/browser_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'browser-worker-space'

backend/worker_spaces/browser_worker_space/spec.py

@@ -0,0 +1,19 @@
+SPACE_SPEC = {
+  "id": "browser-worker-space",
+  "name": "Browser Worker Space",
+  "icon": "🌐",
+  "color": "#3b82f6",
+  "layer": "Browser + UI Intelligence",
+  "description": "Playwright automation, navigation, screenshots, and interaction testing.",
+  "responsibilities": [
+    "playwright",
+    "browser automation",
+    "navigation",
+    "screenshots",
+    "interaction testing"
+  ],
+  "roles": [
+    "automation",
+    "cognition"
+  ]
+}

backend/worker_spaces/coding_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'coding-worker-space'

backend/worker_spaces/coding_worker_space/spec.py

@@ -0,0 +1,20 @@
+SPACE_SPEC = {
+  "id": "coding-worker-space",
+  "name": "Coding Worker Space",
+  "icon": "🔧",
+  "color": "#f59e0b",
+  "layer": "Execution Layer",
+  "description": "Code generation, file editing, refactoring, dependency handling, and code transformations.",
+  "responsibilities": [
+    "code generation",
+    "file editing",
+    "refactoring",
+    "dependency handling",
+    "code transformations"
+  ],
+  "roles": [
+    "execution",
+    "cognition",
+    "automation"
+  ]
+}

backend/worker_spaces/connector_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'connector-worker-space'

backend/worker_spaces/connector_worker_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "connector-worker-space",
+  "name": "Connector Worker Space",
+  "icon": "🔌",
+  "color": "#6366f1",
+  "layer": "Deployment Layer",
+  "description": "GitHub, Supabase, APIs, and external integrations.",
+  "responsibilities": [
+    "github",
+    "supabase",
+    "apis",
+    "external integrations"
+  ],
+  "roles": [
+    "automation",
+    "cognition"
+  ]
+}

backend/worker_spaces/debug_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'debug-worker-space'

backend/worker_spaces/debug_worker_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "debug-worker-space",
+  "name": "Debug Worker Space",
+  "icon": "🐛",
+  "color": "#ef4444",
+  "layer": "Verification + Repair Layer",
+  "description": "Error analysis, traceback parsing, repair strategies, and retry planning.",
+  "responsibilities": [
+    "error analysis",
+    "traceback parsing",
+    "repair strategies",
+    "retry planning"
+  ],
+  "roles": [
+    "repair",
+    "cognition"
+  ]
+}

backend/worker_spaces/deploy_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'deploy-worker-space'

backend/worker_spaces/deploy_worker_space/spec.py

@@ -0,0 +1,19 @@
+SPACE_SPEC = {
+  "id": "deploy-worker-space",
+  "name": "Deploy Worker Space",
+  "icon": "🚀",
+  "color": "#0ea5e9",
+  "layer": "Deployment Layer",
+  "description": "Vercel, Railway, Docker deploys, preview URLs, and CI/CD triggers.",
+  "responsibilities": [
+    "vercel deploy",
+    "railway deploy",
+    "docker deploy",
+    "preview urls",
+    "ci/cd triggers"
+  ],
+  "roles": [
+    "automation",
+    "execution"
+  ]
+}

backend/worker_spaces/eventbus_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'eventbus-space'

backend/worker_spaces/eventbus_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "eventbus-space",
+  "name": "Eventbus Space",
+  "icon": "📡",
+  "color": "#06b6d4",
+  "layer": "Coordination Layer",
+  "description": "Redis PubSub, NATS, RabbitMQ, and event streams.",
+  "responsibilities": [
+    "redis pubsub",
+    "nats",
+    "rabbitmq",
+    "event streams"
+  ],
+  "roles": [
+    "automation",
+    "execution"
+  ]
+}

backend/worker_spaces/filesystem_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'filesystem-worker-space'

backend/worker_spaces/filesystem_worker_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "filesystem-worker-space",
+  "name": "Filesystem Worker Space",
+  "icon": "🗂️",
+  "color": "#22c55e",
+  "layer": "Execution Layer",
+  "description": "File writes, project trees, artifact management, and storage operations.",
+  "responsibilities": [
+    "file writes",
+    "project trees",
+    "artifact management",
+    "storage operations"
+  ],
+  "roles": [
+    "execution",
+    "automation"
+  ]
+}

backend/worker_spaces/git_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'git-worker-space'

backend/worker_spaces/git_worker_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "git-worker-space",
+  "name": "Git Worker Space",
+  "icon": "🌳",
+  "color": "#f97316",
+  "layer": "Deployment Layer",
+  "description": "Commits, branching, diffs, merges, and repository workflow operations.",
+  "responsibilities": [
+    "commits",
+    "branching",
+    "diffs",
+    "merges"
+  ],
+  "roles": [
+    "automation",
+    "execution"
+  ]
+}

backend/worker_spaces/god_core_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'god-core-space'

backend/worker_spaces/god_core_space/spec.py

@@ -0,0 +1,23 @@
+SPACE_SPEC = {
+  "id": "god-core-space",
+  "name": "God Core Space",
+  "icon": "🧠",
+  "color": "#7c3aed",
+  "layer": "Core Cognitive Layer",
+  "description": "System brain for orchestration, planning, reasoning, workflow control, mission state, websocket events, and model routing.",
+  "responsibilities": [
+    "orchestrator",
+    "planner",
+    "reasoning",
+    "task graph",
+    "workflow engine",
+    "mission state",
+    "memory routing",
+    "websocket events",
+    "llm routing"
+  ],
+  "roles": [
+    "cognition",
+    "automation"
+  ]
+}

backend/worker_spaces/knowledge_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'knowledge-worker-space'

backend/worker_spaces/knowledge_worker_space/spec.py

@@ -0,0 +1,18 @@
+SPACE_SPEC = {
+  "id": "knowledge-worker-space",
+  "name": "Knowledge Worker Space",
+  "icon": "📚",
+  "color": "#4f46e5",
+  "layer": "Memory + Knowledge Layer",
+  "description": "Docs retrieval, semantic search, RAG pipelines, and indexed repositories.",
+  "responsibilities": [
+    "docs retrieval",
+    "semantic search",
+    "rag pipelines",
+    "indexed repositories"
+  ],
+  "roles": [
+    "cognition",
+    "automation"
+  ]
+}

backend/worker_spaces/memory_worker_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'memory-worker-space'

backend/worker_spaces/memory_worker_space/spec.py

@@ -0,0 +1,19 @@
+SPACE_SPEC = {
+  "id": "memory-worker-space",
+  "name": "Memory Worker Space",
+  "icon": "🧠",
+  "color": "#a855f7",
+  "layer": "Memory + Knowledge Layer",
+  "description": "Vector DB, execution history, learned fixes, project memory, and long-term state.",
+  "responsibilities": [
+    "vector db",
+    "execution history",
+    "learned fixes",
+    "project memory",
+    "long-term state"
+  ],
+  "roles": [
+    "cognition",
+    "automation"
+  ]
+}

backend/worker_spaces/model_router_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'model-router-space'

backend/worker_spaces/model_router_space/spec.py

@@ -0,0 +1,19 @@
+SPACE_SPEC = {
+  "id": "model-router-space",
+  "name": "Model Router Space",
+  "icon": "🛣️",
+  "color": "#eab308",
+  "layer": "Infrastructure Layer",
+  "description": "GPT routing, Claude routing, fallback models, cost optimization, and model selection.",
+  "responsibilities": [
+    "gpt routing",
+    "claude routing",
+    "fallback models",
+    "cost optimization",
+    "model selection"
+  ],
+  "roles": [
+    "cognition",
+    "automation"
+  ]
+}

backend/worker_spaces/observability_space/__init__.py

@@ -0,0 +1 @@
+SPACE_ID = 'observability-space'

backend/worker_spaces/observability_space/spec.py

@@ -0,0 +1,19 @@
+SPACE_SPEC = {
+  "id": "observability-space",
+  "name": "Observability Space",
+  "icon": "📈",
+  "color": "#22c55e",
+  "layer": "Monitoring Layer",
+  "description": "Logs, metrics, tracing, agent monitoring, and runtime analytics.",
+  "responsibilities": [
+    "logs",
+    "metrics",
+    "tracing",
+    "agent monitoring",
+    "runtime analytics"
+  ],
+  "roles": [
+    "cognition",
+    "automation"
+  ]
+}