diff --git a/plugins/memory/cerebrocortex/README.md b/plugins/memory/cerebrocortex/README.md
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+# CerebroCortex Memory Provider
+
+Brain-analogous AI memory for Hermes Agent with associative networks,
+biologically-inspired decay, and dream consolidation.
+
+## What it does
+
+CerebroCortex replaces simple key-value memory with a system modeled on
+how biological memory actually works:
+
+- **6 memory types** — episodic, semantic, procedural, affective,
+  prospective (TODOs), schematic (patterns)
+- **Associative graph** — memories link together via 9 typed/weighted
+  link types. Search spreads activation through the graph, surfacing
+  related memories you didn't explicitly search for
+- **Natural decay** — ACT-R power-law activation + FSRS spaced-repetition.
+  Frequently-used memories stay sharp, noise fades automatically
+- **Dream engine** — Offline LLM-powered consolidation: pattern extraction,
+  schema formation, pruning, cross-domain discovery
+- **Multi-agent messaging** — send_message/check_inbox for agent-to-agent
+  communication through shared memory
+
+All data is local (SQLite + ChromaDB + igraph). No cloud services required.
+Runs on hardware as minimal as a Raspberry Pi 5 (4GB).
+
+## Install
+
+```bash
+pip install cerebro-cortex
+```
+
+## Setup
+
+```bash
+hermes memory setup
+# Select "cerebrocortex" from the list
+```
+
+Or manually in `~/.hermes/config.yaml`:
+
+```yaml
+memory:
+  provider: cerebrocortex
+```
+
+## Tools
+
+| Tool | Description |
+|------|-------------|
+| `cc_remember` | Store a memory (auto-classifies, deduplicates, links) |
+| `cc_recall` | Semantic search with graph activation and decay scoring |
+| `cc_todo` | Store/list/resolve TODOs and reminders |
+| `cc_message` | Cross-agent messaging (send/inbox) |
+| `cc_health` | System health and statistics |
+
+## Automatic features
+
+- **Prefetch** — Before each turn, relevant memories are recalled and
+  injected as context
+- **Sync** — Significant user messages are auto-stored in background
+- **Session end** — Session summary saved automatically
+- **Memory mirror** — Built-in MEMORY.md/USER.md writes are mirrored
+  to CerebroCortex for searchability
+- **Delegation capture** — Subagent task/result pairs stored as memories
+
+## Configuration
+
+| Key | Description | Default |
+|-----|-------------|---------|
+| `agent_id` | Agent identifier for multi-agent setups | `HERMES` |
+| `data_dir` | Data directory path | `~/.cerebro-cortex/` |
+
+Set via `hermes memory setup` or in config.yaml:
+
+```yaml
+plugins:
+  cerebrocortex:
+    agent_id: HERMES
+    data_dir: ~/.cerebro-cortex/
+```
+
+## Multi-agent
+
+Multiple Hermes instances can share a CerebroCortex store:
+
+```yaml
+# Instance 1
+plugins:
+  cerebrocortex:
+    agent_id: HERMES-PRIMARY
+
+# Instance 2
+plugins:
+  cerebrocortex:
+    agent_id: HERMES-RESEARCH
+```
+
+Agents communicate via `cc_message`:
+- `cc_message(action="send", to="HERMES-RESEARCH", content="...")`
+- `cc_message(action="inbox")`
+
+## Links
+
+- [CerebroCortex repo](https://github.com/buckster123/CerebroCortex)
+- [PyPI](https://pypi.org/project/cerebro-cortex/)
+- [Integration report](https://github.com/buckster123/CerebroCortex/blob/main/HERMES_INTEGRATION_REPORT.md)
diff --git a/plugins/memory/cerebrocortex/__init__.py b/plugins/memory/cerebrocortex/__init__.py
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+++ b/plugins/memory/cerebrocortex/__init__.py
@@ -0,0 +1,495 @@
+"""CerebroCortex memory provider for Hermes Agent.
+
+Brain-analogous AI memory with 6 modalities, associative graph search,
+ACT-R + FSRS biologically-inspired decay, and LLM-powered dream consolidation.
+
+All data is local — SQLite + ChromaDB + igraph. No cloud required.
+Designed to run on hardware as minimal as a Raspberry Pi 5.
+
+Install: pip install cerebro-cortex
+Repo:    https://github.com/buckster123/CerebroCortex
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import threading
+from typing import Any, Dict, List, Optional
+
+from agent.memory_provider import MemoryProvider
+from tools.registry import tool_error
+
+logger = logging.getLogger(__name__)
+
+
+# ---------------------------------------------------------------------------
+# Tool schemas — the 5 core tools exposed to the agent
+# ---------------------------------------------------------------------------
+
+CC_REMEMBER_SCHEMA = {
+    "name": "cc_remember",
+    "description": (
+        "Save information to CerebroCortex long-term memory. Auto-classifies type "
+        "(episodic/semantic/procedural/affective/prospective), detects duplicates, "
+        "extracts concepts, and links to related memories automatically.\n\n"
+        "Use for: facts, decisions, lessons learned, user preferences, project context."
+    ),
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "content": {"type": "string", "description": "The memory content to store."},
+            "tags": {
+                "type": "array", "items": {"type": "string"},
+                "description": "Optional tags for categorization.",
+            },
+            "salience": {
+                "type": "number",
+                "description": "Importance 0-1 (auto-estimated if omitted).",
+            },
+        },
+        "required": ["content"],
+    },
+}
+
+CC_RECALL_SCHEMA = {
+    "name": "cc_recall",
+    "description": (
+        "Search CerebroCortex memories by meaning, not just keywords. Uses vector "
+        "similarity + spreading activation through the associative graph + ACT-R/FSRS "
+        "decay scoring. Finds related memories even if they don't share exact terms.\n\n"
+        "Use for: finding relevant context, checking what you know about a topic."
+    ),
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "query": {"type": "string", "description": "Search query text."},
+            "top_k": {
+                "type": "integer", "description": "Max results (default: 5).",
+            },
+        },
+        "required": ["query"],
+    },
+}
+
+CC_INTENTION_SCHEMA = {
+    "name": "cc_todo",
+    "description": (
+        "Manage TODOs and reminders. Actions:\n"
+        "• store — Save a TODO or reminder for future action.\n"
+        "• list — List pending TODOs.\n"
+        "• resolve — Mark a TODO as done (requires memory_id)."
+    ),
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "action": {
+                "type": "string",
+                "enum": ["store", "list", "resolve"],
+            },
+            "content": {"type": "string", "description": "TODO content (for 'store')."},
+            "memory_id": {"type": "string", "description": "Memory ID (for 'resolve')."},
+            "tags": {
+                "type": "array", "items": {"type": "string"},
+                "description": "Tags for categorization (for 'store').",
+            },
+        },
+        "required": ["action"],
+    },
+}
+
+CC_MESSAGE_SCHEMA = {
+    "name": "cc_message",
+    "description": (
+        "Cross-agent messaging through shared memory. Actions:\n"
+        "• send — Send a message to another agent (bypasses gating, always delivered).\n"
+        "• inbox — Check for messages addressed to you (newest first)."
+    ),
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "action": {
+                "type": "string",
+                "enum": ["send", "inbox"],
+            },
+            "to": {"type": "string", "description": "Recipient agent ID or 'all' (for 'send')."},
+            "content": {"type": "string", "description": "Message content (for 'send')."},
+            "limit": {"type": "integer", "description": "Max messages to return (for 'inbox', default: 10)."},
+        },
+        "required": ["action"],
+    },
+}
+
+CC_HEALTH_SCHEMA = {
+    "name": "cc_health",
+    "description": (
+        "Get CerebroCortex system health: memory count, link count, episodes, "
+        "schemas, and memory type breakdown."
+    ),
+    "parameters": {
+        "type": "object",
+        "properties": {},
+    },
+}
+
+
+# ---------------------------------------------------------------------------
+# Provider implementation
+# ---------------------------------------------------------------------------
+
+class CerebroCortexProvider(MemoryProvider):
+    """CerebroCortex memory provider — associative memory with decay and consolidation."""
+
+    def __init__(self, config: dict | None = None):
+        self._config = config or {}
+        self._cortex = None
+        self._agent_id: str = "HERMES"
+        self._session_id: str = ""
+        self._lock = threading.Lock()
+
+    @property
+    def name(self) -> str:
+        return "cerebrocortex"
+
+    def is_available(self) -> bool:
+        """Check if cerebro-cortex is installed."""
+        try:
+            import cerebro  # noqa: F401
+            return True
+        except ImportError:
+            return False
+
+    def initialize(self, session_id: str, **kwargs) -> None:
+        """Initialize CerebroCortex for this session."""
+        from cerebro.cortex import CerebroCortex
+
+        self._session_id = session_id
+        self._agent_id = self._config.get(
+            "agent_id",
+            os.environ.get("CEREBRO_AGENT_ID", "HERMES"),
+        )
+
+        # Allow custom data dir via config
+        data_dir = self._config.get("data_dir")
+        if data_dir:
+            os.environ.setdefault("CEREBRO_DATA_DIR", data_dir)
+
+        self._cortex = CerebroCortex()
+        self._cortex.initialize()
+        logger.info(
+            "CerebroCortex initialized (agent=%s, session=%s)",
+            self._agent_id, session_id,
+        )
+
+    def system_prompt_block(self) -> str:
+        """Inject CerebroCortex status into the system prompt."""
+        if not self._cortex:
+            return ""
+        try:
+            s = self._cortex.stats(agent_id=self._agent_id)
+            parts = [
+                "# CerebroCortex Memory",
+                f"Active. {s['nodes']} memories, {s['links']} links, {s['episodes']} episodes.",
+                "Use cc_remember to store, cc_recall to search (semantic + graph activation).",
+                "Use cc_todo to manage TODOs, cc_message for cross-agent messaging.",
+            ]
+            return "\n".join(parts)
+        except Exception as e:
+            logger.debug("CerebroCortex system_prompt_block failed: %s", e)
+            return "# CerebroCortex Memory\nActive. Use cc_remember/cc_recall."
+
+    def prefetch(self, query: str, *, session_id: str = "") -> str:
+        """Recall relevant memories before each turn."""
+        if not self._cortex or not query or len(query.strip()) < 3:
+            return ""
+        try:
+            results = self._cortex.recall(
+                query=query,
+                top_k=5,
+                agent_id=self._agent_id,
+            )
+            if not results:
+                return ""
+            lines = []
+            for node, score in results:
+                lines.append(f"- [{score:.2f}] {node.content[:200]}")
+            return "## CerebroCortex Context\n" + "\n".join(lines)
+        except Exception as e:
+            logger.debug("CerebroCortex prefetch failed: %s", e)
+            return ""
+
+    def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
+        """Auto-remember significant user statements in background."""
+        if not self._cortex or not user_content:
+            return
+        # Only auto-store substantial user messages (not short commands)
+        if len(user_content.strip()) < 50:
+            return
+
+        def _bg_store():
+            try:
+                with self._lock:
+                    self._cortex.remember(
+                        content=user_content[:500],
+                        agent_id=self._agent_id,
+                        session_id=self._session_id,
+                        tags=["auto_sync", "user_turn"],
+                    )
+            except Exception as e:
+                logger.debug("CerebroCortex sync_turn failed: %s", e)
+
+        threading.Thread(target=_bg_store, daemon=True).start()
+
+    def get_tool_schemas(self) -> List[Dict[str, Any]]:
+        return [
+            CC_REMEMBER_SCHEMA,
+            CC_RECALL_SCHEMA,
+            CC_INTENTION_SCHEMA,
+            CC_MESSAGE_SCHEMA,
+            CC_HEALTH_SCHEMA,
+        ]
+
+    def handle_tool_call(self, tool_name: str, args: Dict[str, Any], **kwargs) -> str:
+        if not self._cortex:
+            return tool_error("CerebroCortex not initialized")
+        try:
+            if tool_name == "cc_remember":
+                return self._handle_remember(args)
+            elif tool_name == "cc_recall":
+                return self._handle_recall(args)
+            elif tool_name == "cc_todo":
+                return self._handle_intention(args)
+            elif tool_name == "cc_message":
+                return self._handle_message(args)
+            elif tool_name == "cc_health":
+                return self._handle_health()
+            return tool_error(f"Unknown tool: {tool_name}")
+        except Exception as e:
+            return tool_error(str(e))
+
+    def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
+        """Save a session summary to CerebroCortex."""
+        if not self._cortex or not messages:
+            return
+        try:
+            # Build a brief summary from the last few messages
+            user_msgs = [
+                m.get("content", "")[:200]
+                for m in messages[-10:]
+                if m.get("role") == "user" and isinstance(m.get("content"), str)
+            ]
+            if not user_msgs:
+                return
+            summary = f"Session topics: {'; '.join(user_msgs[:5])}"
+            self._cortex.session_save(
+                session_summary=summary[:500],
+                agent_id=self._agent_id,
+            )
+        except Exception as e:
+            logger.debug("CerebroCortex on_session_end failed: %s", e)
+
+    def on_memory_write(self, action: str, target: str, content: str) -> None:
+        """Mirror built-in memory writes to CerebroCortex."""
+        if action == "add" and self._cortex and content:
+            try:
+                tags = ["hermes_builtin", f"target:{target}"]
+                self._cortex.remember(
+                    content=content,
+                    agent_id=self._agent_id,
+                    tags=tags,
+                )
+            except Exception as e:
+                logger.debug("CerebroCortex memory_write mirror failed: %s", e)
+
+    def on_delegation(self, task: str, result: str, *,
+                      child_session_id: str = "", **kwargs) -> None:
+        """Store delegation outcomes as episodic memories."""
+        if not self._cortex:
+            return
+        try:
+            content = f"Delegated task: {task[:200]}\nResult: {result[:300]}"
+            self._cortex.remember(
+                content=content,
+                agent_id=self._agent_id,
+                session_id=self._session_id,
+                tags=["delegation", "subagent"],
+            )
+        except Exception as e:
+            logger.debug("CerebroCortex on_delegation failed: %s", e)
+
+    def shutdown(self) -> None:
+        if self._cortex:
+            self._cortex.close()
+            self._cortex = None
+
+    # -- Config ---------------------------------------------------------------
+
+    def get_config_schema(self) -> List[Dict[str, Any]]:
+        return [
+            {
+                "key": "agent_id",
+                "description": "Agent identifier for multi-agent setups",
+                "default": "HERMES",
+            },
+            {
+                "key": "data_dir",
+                "description": "Data directory (default: ~/.cerebro-cortex/)",
+                "default": "",
+            },
+        ]
+
+    def save_config(self, values: Dict[str, Any], hermes_home: str) -> None:
+        from pathlib import Path
+        config_path = Path(hermes_home) / "config.yaml"
+        try:
+            import yaml
+            existing = {}
+            if config_path.exists():
+                with open(config_path) as f:
+                    existing = yaml.safe_load(f) or {}
+            existing.setdefault("plugins", {})
+            existing["plugins"]["cerebrocortex"] = values
+            with open(config_path, "w") as f:
+                yaml.dump(existing, f, default_flow_style=False)
+        except Exception:
+            pass
+
+    # -- Tool handlers --------------------------------------------------------
+
+    def _handle_remember(self, args: dict) -> str:
+        node = self._cortex.remember(
+            content=args["content"],
+            tags=args.get("tags"),
+            salience=args.get("salience"),
+            agent_id=self._agent_id,
+            session_id=self._session_id,
+        )
+        if node is None:
+            return json.dumps({"stored": False, "reason": "gated_out (duplicate or noise)"})
+        return json.dumps({
+            "stored": True,
+            "id": node.id,
+            "type": node.metadata.memory_type.value,
+            "salience": round(node.metadata.salience, 3),
+            "concepts": node.metadata.concepts[:5],
+            "links": node.link_count,
+        })
+
+    def _handle_recall(self, args: dict) -> str:
+        results = self._cortex.recall(
+            query=args["query"],
+            top_k=args.get("top_k", 5),
+            agent_id=self._agent_id,
+        )
+        return json.dumps({
+            "count": len(results),
+            "results": [
+                {
+                    "id": node.id,
+                    "content": node.content,
+                    "type": node.metadata.memory_type.value,
+                    "score": round(score, 4),
+                    "tags": node.metadata.tags,
+                }
+                for node, score in results
+            ],
+        })
+
+    def _handle_intention(self, args: dict) -> str:
+        action = args["action"]
+        if action == "store":
+            if "content" not in args:
+                return tool_error("'content' required for store")
+            node = self._cortex.store_intention(
+                content=args["content"],
+                agent_id=self._agent_id,
+                tags=args.get("tags"),
+            )
+            return json.dumps({"stored": True, "id": node.id})
+
+        elif action == "list":
+            intentions = self._cortex.list_intentions(agent_id=self._agent_id)
+            return json.dumps({
+                "count": len(intentions),
+                "items": [
+                    {"id": n.id, "content": n.content, "salience": round(n.metadata.salience, 3)}
+                    for n in intentions
+                ],
+            })
+
+        elif action == "resolve":
+            if "memory_id" not in args:
+                return tool_error("'memory_id' required for resolve")
+            self._cortex.resolve_intention(args["memory_id"])
+            return json.dumps({"resolved": True, "id": args["memory_id"]})
+
+        return tool_error(f"Unknown action: {action}")
+
+    def _handle_message(self, args: dict) -> str:
+        action = args["action"]
+        if action == "send":
+            if "to" not in args or "content" not in args:
+                return tool_error("'to' and 'content' required for send")
+            node = self._cortex.send_message(
+                to=args["to"],
+                content=args["content"],
+                agent_id=self._agent_id,
+                session_id=self._session_id,
+            )
+            return json.dumps({"sent": True, "id": node.id, "to": args["to"]})
+
+        elif action == "inbox":
+            messages = self._cortex.check_inbox(
+                agent_id=self._agent_id,
+                limit=args.get("limit", 10),
+            )
+            return json.dumps({
+                "count": len(messages),
+                "messages": [
+                    {
+                        "id": m.id,
+                        "from": m.metadata.agent_id,
+                        "content": m.content,
+                        "created_at": m.created_at.isoformat(),
+                    }
+                    for m in messages
+                ],
+            })
+
+        return tool_error(f"Unknown action: {action}")
+
+    def _handle_health(self) -> str:
+        s = self._cortex.stats(agent_id=self._agent_id)
+        return json.dumps({
+            "memories": s["nodes"],
+            "links": s["links"],
+            "episodes": s["episodes"],
+            "types": s.get("memory_types", {}),
+            "layers": s.get("layers", {}),
+        })
+
+
+# ---------------------------------------------------------------------------
+# Plugin entry point
+# ---------------------------------------------------------------------------
+
+def register(ctx) -> None:
+    """Register the CerebroCortex memory provider with Hermes."""
+    config = _load_plugin_config()
+    provider = CerebroCortexProvider(config=config)
+    ctx.register_memory_provider(provider)
+
+
+def _load_plugin_config() -> dict:
+    try:
+        from hermes_constants import get_hermes_home
+        config_path = get_hermes_home() / "config.yaml"
+        if not config_path.exists():
+            return {}
+        import yaml
+        with open(config_path) as f:
+            all_config = yaml.safe_load(f) or {}
+        return all_config.get("plugins", {}).get("cerebrocortex", {}) or {}
+    except Exception:
+        return {}
diff --git a/plugins/memory/cerebrocortex/plugin.yaml b/plugins/memory/cerebrocortex/plugin.yaml
new file mode 100644
index 000000000..f9dab3fe6
--- /dev/null
+++ b/plugins/memory/cerebrocortex/plugin.yaml
@@ -0,0 +1,9 @@
+name: cerebrocortex
+version: 0.1.0
+description: "CerebroCortex — brain-analogous memory with associative networks, ACT-R/FSRS decay, spreading activation, and dream consolidation. Local-first (SQLite + ChromaDB + igraph)."
+pip_dependencies:
+  - cerebro-cortex
+hooks:
+  - on_session_end
+  - on_memory_write
+  - on_delegation