fix: duplicate atlas-toggle-btn ID from merge conflict (#1336)

Two buttons had id="atlas-toggle-btn" — one incomplete (no closing tag,
no content) and one complete. Removed the incomplete duplicate and fixed
the HTML structure so all buttons have proper opening/closing tags.

agent/__init__.py

@@ -0,0 +1,21 @@
+"""
+agent — Cross-session agent memory and lifecycle hooks.
+
+Provides persistent memory for agents via MemPalace integration.
+Agents recall context at session start and write diary entries at session end.
+
+Modules:
+    memory.py       — AgentMemory class (recall, remember, diary)
+    memory_hooks.py — Session lifecycle hooks (drop-in integration)
+"""
+
+from agent.memory import AgentMemory, MemoryContext, SessionTranscript, create_agent_memory
+from agent.memory_hooks import MemoryHooks
+
+__all__ = [
+    "AgentMemory",
+    "MemoryContext",
+    "MemoryHooks",
+    "SessionTranscript",
+    "create_agent_memory",
+]

agent/memory.py

@@ -0,0 +1,396 @@
+"""
+agent.memory — Cross-session agent memory via MemPalace.
+
+Gives agents persistent memory across sessions. On wake-up, agents
+recall relevant context from past sessions. On session end, they
+write a diary entry summarizing what happened.
+
+Architecture:
+    Session Start  → memory.recall_context() → inject L0/L1 into prompt
+    During Session → memory.remember()        → store important facts
+    Session End    → memory.write_diary()     → summarize session
+
+All operations degrade gracefully — if MemPalace is unavailable,
+the agent continues without memory and logs a warning.
+
+Usage:
+    from agent.memory import AgentMemory
+
+    mem = AgentMemory(agent_name="bezalel", wing="wing_bezalel")
+
+    # Session start — load context
+    context = mem.recall_context("What was I working on last time?")
+
+    # During session — store important decisions
+    mem.remember("Switched CI runner from GitHub Actions to self-hosted", room="forge")
+
+    # Session end — write diary
+    mem.write_diary("Fixed PR #1386, reconciled fleet registry locations")
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import time
+from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Optional
+
+logger = logging.getLogger("agent.memory")
+
+
+@dataclass
+class MemoryContext:
+    """Context loaded at session start from MemPalace."""
+    relevant_memories: list[dict] = field(default_factory=list)
+    recent_diaries: list[dict] = field(default_factory=list)
+    facts: list[dict] = field(default_factory=list)
+    loaded: bool = False
+    error: Optional[str] = None
+
+    def to_prompt_block(self) -> str:
+        """Format context as a text block to inject into the agent prompt."""
+        if not self.loaded:
+            return ""
+
+        parts = []
+
+        if self.recent_diaries:
+            parts.append("=== Recent Session Summaries ===")
+            for d in self.recent_diaries[:3]:
+                ts = d.get("timestamp", "")
+                text = d.get("text", "")
+                parts.append(f"[{ts}] {text[:500]}")
+
+        if self.facts:
+            parts.append("\n=== Known Facts ===")
+            for f in self.facts[:10]:
+                text = f.get("text", "")
+                parts.append(f"- {text[:200]}")
+
+        if self.relevant_memories:
+            parts.append("\n=== Relevant Past Memories ===")
+            for m in self.relevant_memories[:5]:
+                text = m.get("text", "")
+                score = m.get("score", 0)
+                parts.append(f"[{score:.2f}] {text[:300]}")
+
+        if not parts:
+            return ""
+
+        return "\n".join(parts)
+
+
+@dataclass
+class SessionTranscript:
+    """A running log of the current session for diary writing."""
+    agent_name: str
+    wing: str
+    started_at: str = field(
+        default_factory=lambda: datetime.now(timezone.utc).isoformat()
+    )
+    entries: list[dict] = field(default_factory=list)
+
+    def add_user_turn(self, text: str):
+        self.entries.append({
+            "role": "user",
+            "text": text[:2000],
+            "ts": time.time(),
+        })
+
+    def add_agent_turn(self, text: str):
+        self.entries.append({
+            "role": "agent",
+            "text": text[:2000],
+            "ts": time.time(),
+        })
+
+    def add_tool_call(self, tool: str, args: str, result_summary: str):
+        self.entries.append({
+            "role": "tool",
+            "tool": tool,
+            "args": args[:500],
+            "result": result_summary[:500],
+            "ts": time.time(),
+        })
+
+    def summary(self) -> str:
+        """Generate a compact transcript summary."""
+        if not self.entries:
+            return "Empty session."
+
+        turns = []
+        for e in self.entries[-20:]:  # last 20 entries
+            role = e["role"]
+            if role == "user":
+                turns.append(f"USER: {e['text'][:200]}")
+            elif role == "agent":
+                turns.append(f"AGENT: {e['text'][:200]}")
+            elif role == "tool":
+                turns.append(f"TOOL({e.get('tool','')}): {e.get('result','')[:150]}")
+
+        return "\n".join(turns)
+
+
+class AgentMemory:
+    """
+    Cross-session memory for an agent.
+
+    Wraps MemPalace with agent-specific conventions:
+    - Each agent has a wing (e.g., "wing_bezalel")
+    - Session summaries go in the "hermes" room
+    - Important decisions go in room-specific closets
+    - Facts go in the "nexus" room
+    """
+
+    def __init__(
+        self,
+        agent_name: str,
+        wing: Optional[str] = None,
+        palace_path: Optional[Path] = None,
+    ):
+        self.agent_name = agent_name
+        self.wing = wing or f"wing_{agent_name}"
+        self.palace_path = palace_path
+        self._transcript: Optional[SessionTranscript] = None
+        self._available: Optional[bool] = None
+
+    def _check_available(self) -> bool:
+        """Check if MemPalace is accessible."""
+        if self._available is not None:
+            return self._available
+
+        try:
+            from nexus.mempalace.searcher import search_memories, add_memory, _get_client
+            from nexus.mempalace.config import MEMPALACE_PATH
+
+            path = self.palace_path or MEMPALACE_PATH
+            _get_client(path)
+            self._available = True
+            logger.info(f"MemPalace available at {path}")
+        except Exception as e:
+            self._available = False
+            logger.warning(f"MemPalace unavailable: {e}")
+
+        return self._available
+
+    def recall_context(
+        self,
+        query: Optional[str] = None,
+        n_results: int = 5,
+    ) -> MemoryContext:
+        """
+        Load relevant context from past sessions.
+
+        Called at session start to inject L0/L1 memory into the prompt.
+
+        Args:
+            query: What to search for. If None, loads recent diary entries.
+            n_results: Max memories to recall.
+        """
+        ctx = MemoryContext()
+
+        if not self._check_available():
+            ctx.error = "MemPalace unavailable"
+            return ctx
+
+        try:
+            from nexus.mempalace.searcher import search_memories
+
+            # Load recent diary entries (session summaries)
+            ctx.recent_diaries = [
+                {"text": r.text, "score": r.score, "timestamp": r.metadata.get("timestamp", "")}
+                for r in search_memories(
+                    "session summary",
+                    palace_path=self.palace_path,
+                    wing=self.wing,
+                    room="hermes",
+                    n_results=3,
+                )
+            ]
+
+            # Load known facts
+            ctx.facts = [
+                {"text": r.text, "score": r.score}
+                for r in search_memories(
+                    "important facts decisions",
+                    palace_path=self.palace_path,
+                    wing=self.wing,
+                    room="nexus",
+                    n_results=5,
+                )
+            ]
+
+            # Search for relevant memories if query provided
+            if query:
+                ctx.relevant_memories = [
+                    {"text": r.text, "score": r.score, "room": r.room}
+                    for r in search_memories(
+                        query,
+                        palace_path=self.palace_path,
+                        wing=self.wing,
+                        n_results=n_results,
+                    )
+                ]
+
+            ctx.loaded = True
+
+        except Exception as e:
+            ctx.error = str(e)
+            logger.warning(f"Failed to recall context: {e}")
+
+        return ctx
+
+    def remember(
+        self,
+        text: str,
+        room: str = "nexus",
+        source_file: str = "",
+        metadata: Optional[dict] = None,
+    ) -> Optional[str]:
+        """
+        Store a memory.
+
+        Args:
+            text: The memory content.
+            room: Target room (forge, hermes, nexus, issues, experiments).
+            source_file: Optional source attribution.
+            metadata: Extra metadata.
+
+        Returns:
+            Document ID if stored, None if MemPalace unavailable.
+        """
+        if not self._check_available():
+            logger.warning("Cannot store memory — MemPalace unavailable")
+            return None
+
+        try:
+            from nexus.mempalace.searcher import add_memory
+
+            doc_id = add_memory(
+                text=text,
+                room=room,
+                wing=self.wing,
+                palace_path=self.palace_path,
+                source_file=source_file,
+                extra_metadata=metadata or {},
+            )
+            logger.debug(f"Stored memory in {room}: {text[:80]}...")
+            return doc_id
+
+        except Exception as e:
+            logger.warning(f"Failed to store memory: {e}")
+            return None
+
+    def write_diary(
+        self,
+        summary: Optional[str] = None,
+    ) -> Optional[str]:
+        """
+        Write a session diary entry to MemPalace.
+
+        Called at session end. If summary is None, auto-generates one
+        from the session transcript.
+
+        Args:
+            summary: Override summary text. If None, generates from transcript.
+
+        Returns:
+            Document ID if stored, None if unavailable.
+        """
+        if summary is None and self._transcript:
+            summary = self._transcript.summary()
+
+        if not summary:
+            return None
+
+        timestamp = datetime.now(timezone.utc).isoformat()
+        diary_text = f"[{timestamp}] Session by {self.agent_name}:\n{summary}"
+
+        return self.remember(
+            diary_text,
+            room="hermes",
+            metadata={
+                "type": "session_diary",
+                "agent": self.agent_name,
+                "timestamp": timestamp,
+                "entry_count": len(self._transcript.entries) if self._transcript else 0,
+            },
+        )
+
+    def start_session(self) -> SessionTranscript:
+        """
+        Begin a new session transcript.
+
+        Returns the transcript object for recording turns.
+        """
+        self._transcript = SessionTranscript(
+            agent_name=self.agent_name,
+            wing=self.wing,
+        )
+        logger.info(f"Session started for {self.agent_name}")
+        return self._transcript
+
+    def end_session(self, diary_summary: Optional[str] = None) -> Optional[str]:
+        """
+        End the current session, write diary, return diary doc ID.
+        """
+        doc_id = self.write_diary(diary_summary)
+        self._transcript = None
+        logger.info(f"Session ended for {self.agent_name}")
+        return doc_id
+
+    def search(
+        self,
+        query: str,
+        room: Optional[str] = None,
+        n_results: int = 5,
+    ) -> list[dict]:
+        """
+        Search memories. Useful during a session for recall.
+
+        Returns list of {text, room, wing, score} dicts.
+        """
+        if not self._check_available():
+            return []
+
+        try:
+            from nexus.mempalace.searcher import search_memories
+
+            results = search_memories(
+                query,
+                palace_path=self.palace_path,
+                wing=self.wing,
+                room=room,
+                n_results=n_results,
+            )
+            return [
+                {"text": r.text, "room": r.room, "wing": r.wing, "score": r.score}
+                for r in results
+            ]
+
+        except Exception as e:
+            logger.warning(f"Search failed: {e}")
+            return []
+
+
+# --- Fleet-wide memory helpers ---
+
+def create_agent_memory(
+    agent_name: str,
+    palace_path: Optional[Path] = None,
+) -> AgentMemory:
+    """
+    Factory for creating AgentMemory with standard config.
+
+    Reads wing from MEMPALACE_WING env or defaults to wing_{agent_name}.
+    """
+    wing = os.environ.get("MEMPALACE_WING", f"wing_{agent_name}")
+    return AgentMemory(
+        agent_name=agent_name,
+        wing=wing,
+        palace_path=palace_path,
+    )

agent/memory_hooks.py

@@ -0,0 +1,183 @@
+"""
+agent.memory_hooks — Session lifecycle hooks for agent memory.
+
+Integrates AgentMemory into the agent session lifecycle:
+- on_session_start: Load context, inject into prompt
+- on_user_turn: Record user input
+- on_agent_turn: Record agent output
+- on_tool_call: Record tool usage
+- on_session_end: Write diary, clean up
+
+These hooks are designed to be called from the Hermes harness or
+any agent framework. They're fire-and-forget — failures are logged
+but never crash the session.
+
+Usage:
+    from agent.memory_hooks import MemoryHooks
+
+    hooks = MemoryHooks(agent_name="bezalel")
+    hooks.on_session_start()  # loads context
+
+    # In your agent loop:
+    hooks.on_user_turn("Check CI pipeline health")
+    hooks.on_agent_turn("Running CI check...")
+    hooks.on_tool_call("shell", "pytest tests/", "12 passed")
+
+    # End of session:
+    hooks.on_session_end()  # writes diary
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Optional
+
+from agent.memory import AgentMemory, MemoryContext, create_agent_memory
+
+logger = logging.getLogger("agent.memory_hooks")
+
+
+class MemoryHooks:
+    """
+    Drop-in session lifecycle hooks for agent memory.
+
+    Wraps AgentMemory with error boundaries — every hook catches
+    exceptions and logs warnings so memory failures never crash
+    the agent session.
+    """
+
+    def __init__(
+        self,
+        agent_name: str,
+        palace_path=None,
+        auto_diary: bool = True,
+    ):
+        self.agent_name = agent_name
+        self.auto_diary = auto_diary
+        self._memory: Optional[AgentMemory] = None
+        self._context: Optional[MemoryContext] = None
+        self._active = False
+
+    @property
+    def memory(self) -> AgentMemory:
+        if self._memory is None:
+            self._memory = create_agent_memory(
+                self.agent_name,
+                palace_path=getattr(self, '_palace_path', None),
+            )
+        return self._memory
+
+    def on_session_start(self, query: Optional[str] = None) -> str:
+        """
+        Called at session start. Loads context from MemPalace.
+
+        Returns a prompt block to inject into the agent's context, or
+        empty string if memory is unavailable.
+
+        Args:
+            query: Optional recall query (e.g., "What was I working on?")
+        """
+        try:
+            self.memory.start_session()
+            self._active = True
+
+            self._context = self.memory.recall_context(query=query)
+            block = self._context.to_prompt_block()
+
+            if block:
+                logger.info(
+                    f"Loaded {len(self._context.recent_diaries)} diaries, "
+                    f"{len(self._context.facts)} facts, "
+                    f"{len(self._context.relevant_memories)} relevant memories "
+                    f"for {self.agent_name}"
+                )
+            else:
+                logger.info(f"No prior memory for {self.agent_name}")
+
+            return block
+
+        except Exception as e:
+            logger.warning(f"Session start memory hook failed: {e}")
+            return ""
+
+    def on_user_turn(self, text: str):
+        """Record a user message."""
+        if not self._active:
+            return
+        try:
+            if self.memory._transcript:
+                self.memory._transcript.add_user_turn(text)
+        except Exception as e:
+            logger.debug(f"Failed to record user turn: {e}")
+
+    def on_agent_turn(self, text: str):
+        """Record an agent response."""
+        if not self._active:
+            return
+        try:
+            if self.memory._transcript:
+                self.memory._transcript.add_agent_turn(text)
+        except Exception as e:
+            logger.debug(f"Failed to record agent turn: {e}")
+
+    def on_tool_call(self, tool: str, args: str, result_summary: str):
+        """Record a tool invocation."""
+        if not self._active:
+            return
+        try:
+            if self.memory._transcript:
+                self.memory._transcript.add_tool_call(tool, args, result_summary)
+        except Exception as e:
+            logger.debug(f"Failed to record tool call: {e}")
+
+    def on_important_decision(self, text: str, room: str = "nexus"):
+        """
+        Record an important decision or fact for long-term memory.
+
+        Use this when the agent makes a significant decision that
+        should persist beyond the current session.
+        """
+        try:
+            self.memory.remember(text, room=room, metadata={"type": "decision"})
+            logger.info(f"Remembered decision: {text[:80]}...")
+        except Exception as e:
+            logger.warning(f"Failed to remember decision: {e}")
+
+    def on_session_end(self, summary: Optional[str] = None) -> Optional[str]:
+        """
+        Called at session end. Writes diary entry.
+
+        Args:
+            summary: Override diary text. If None, auto-generates.
+
+        Returns:
+            Diary document ID, or None.
+        """
+        if not self._active:
+            return None
+
+        try:
+            doc_id = self.memory.end_session(diary_summary=summary)
+            self._active = False
+            self._context = None
+            return doc_id
+        except Exception as e:
+            logger.warning(f"Session end memory hook failed: {e}")
+            self._active = False
+            return None
+
+    def search(self, query: str, room: Optional[str] = None) -> list[dict]:
+        """
+        Search memories during a session.
+
+        Returns list of {text, room, wing, score}.
+        """
+        try:
+            return self.memory.search(query, room=room)
+        except Exception as e:
+            logger.warning(f"Memory search failed: {e}")
+            return []
+
+    @property
+    def is_active(self) -> bool:
+        return self._active

app.js

@@ -995,8 +995,8 @@ function createBatcaveTerminal() {
     { title: 'NEXUS COMMAND', color: NEXUS.colors.primary,   rot: -0.4, x: -6,  y: 3, lines: ['> STATUS: NOMINAL', '> UPTIME: 142.4h', '> HARNESS: STABLE', '> MODE: SOVEREIGN'] },
     { title: 'DEV QUEUE',     color: NEXUS.colors.gold,      rot: -0.2, x: -3,  y: 3, lines: ['> ISSUE #4: CORE', '> ISSUE #5: PORTAL', '> ISSUE #6: TERMINAL', '> ISSUE #7: TIMMY'] },
     { title: 'METRICS',       color: NEXUS.colors.secondary, rot: 0,    x: 0,   y: 3, lines: ['> CPU: 12% [||....]', '> MEM: 4.2GB', '> COMMITS: 842', '> ACTIVE LOOPS: 5'] },
-    { title: 'SOVEREIGNTY',   color: NEXUS.colors.gold,      rot: 0.2,  x: 3,   y: 3, lines: ['REPLIT: GRADE: A', 'PERPLEXITY: GRADE: A-', 'HERMES: GRADE: B+', 'KIMI: GRADE: B', 'GEMINI: GRADE: B+'] },
-    { title: 'AGENT STATUS',  color: NEXUS.colors.primary,   rot: 0.4,  x: 6,   y: 3, lines: ['> TIMMY: ● RUNNING', '> KIMI: ○ STANDBY', '> GEMINI: ○ STANDBY', '> PERPLEXITY: ○'] },
+    { title: 'SOVEREIGNTY',   color: NEXUS.colors.gold,      rot: 0.2,  x: 3,   y: 3, lines: ['REPLIT: GRADE: A', 'PERPLEXITY: GRADE: A-', 'HERMES: GRADE: B+', 'KIMI: GRADE: B', 'CLAUDE: GRADE: B+'] },
+    { title: 'AGENT STATUS',  color: NEXUS.colors.primary,   rot: 0.4,  x: 6,   y: 3, lines: ['> TIMMY: ● RUNNING', '> KIMI: ○ STANDBY', '> CLAUDE: ● ACTIVE', '> PERPLEXITY: ○'] },
   ];
 
   panelData.forEach(data => {
@@ -1223,7 +1223,7 @@ function updateAgentStatus(issues) {
   const lines = [
     '> TIMMY: ● RUNNING',
     '> KIMI: ○ STANDBY',
-    '> GEMINI: ○ STANDBY',
+    '> CLAUDE: ● ACTIVE',
     `> PERPLEXITY: ${perplexityStatus}`
   ];
   terminal.updatePanelText(lines);
@@ -1323,7 +1323,7 @@ function createAgentPresences() {
   const agentData = [
     { id: 'timmy',      name: 'TIMMY',      color: NEXUS.colors.primary,   pos: { x: -4, z: -4 }, station: { x: -4, z: -4 } },
     { id: 'kimi',       name: 'KIMI',       color: NEXUS.colors.secondary, pos: { x: 4,  z: -4 }, station: { x: 4,  z: -4 } },
-    { id: 'gemini',     name: 'GEMINI',     color: NEXUS.colors.gold,      pos: { x: 0,  z: -6 }, station: { x: 0,  z: -6 } },
+    { id: 'claude',     name: 'CLAUDE',     color: NEXUS.colors.gold,      pos: { x: 0,  z: -6 }, station: { x: 0,  z: -6 } },
     { id: 'perplexity', name: 'PERPLEXITY', color: 0x4488ff,               pos: { x: -6, z: -2 }, station: { x: -6, z: -2 } },
   ];
 
@@ -2773,8 +2773,8 @@ function connectMemPalace() {
     }
     
     // Initialize MCP server connection
-    // Claude MCP bridge removed — Anthropic purged
-    if (false && window.Claude) {
+    if (window.Claude && window.Claude.mcp) {
+      window.Claude.mcp.add('mempalace', {
         init: () => {
           return { status: 'active', version: '3.0.0' };
         },
@@ -2951,7 +2951,7 @@ function addChatMessage(agent, text, shouldSave = true) {
     system: '[NEXUS]', 
     error: '[ERROR]',
     kimi: '[KIMI]',
-    gemini: '[GEMINI]',
+    claude: '[CLAUDE]',
     perplexity: '[PERPLEXITY]'
   };
   
@@ -3562,7 +3562,7 @@ function onResize() {
 
 // ═══ AGENT SIMULATION ═══
 function simulateAgentThought() {
-  const agentIds = ['timmy', 'kimi', 'gemini', 'perplexity'];
+  const agentIds = ['timmy', 'kimi', 'claude', 'perplexity'];
   const agentId = agentIds[Math.floor(Math.random() * agentIds.length)];
   const thoughts = {
     timmy: [
@@ -3579,12 +3579,12 @@ function simulateAgentThought() {
       'Awaiting user prompt sequence.',
       'Neural weights adjusted.',
     ],
-    gemini: [
-      'Multimodal reasoning engaged...',
-      'Cross-referencing knowledge graph.',
-      'Synthesizing across modalities...',
-      'Pattern recognition complete.',
-      'Gemini processing active.',
+    claude: [
+      'Reasoning through complex logic...',
+      'Ethical guardrails verified.',
+      'Refining thought architecture...',
+      'Connecting disparate data points.',
+      'Deep analysis in progress.',
     ],
     perplexity: [
       'Searching global knowledge graph...',
@@ -3873,8 +3873,8 @@ init().then(() => {
       }
       
       // Initialize MCP server connection
-      // Claude MCP bridge removed — Anthropic purged
-      if (false && window.Claude) {
+      if (window.Claude && window.Claude.mcp) {
+        window.Claude.mcp.add('mempalace', {
           init: () => {
             return { status: 'active', version: '3.0.0' };
           },

bin/memory_mine.py

@@ -0,0 +1,258 @@
+#!/usr/bin/env python3
+"""
+memory_mine.py — Mine session transcripts into MemPalace.
+
+Reads Hermes session logs (JSONL format) and stores summaries
+in the palace. Supports batch mining, single-file processing,
+and live directory watching.
+
+Usage:
+    # Mine a single session file
+    python3 bin/memory_mine.py ~/.hermes/sessions/2026-04-13.jsonl
+
+    # Mine all sessions from last 7 days
+    python3 bin/memory_mine.py --days 7
+
+    # Mine a specific wing's sessions
+    python3 bin/memory_mine.py --wing wing_bezalel --days 14
+
+    # Dry run — show what would be mined
+    python3 bin/memory_mine.py --dry-run --days 7
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import logging
+import os
+import sys
+import time
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from typing import Optional
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S",
+)
+logger = logging.getLogger("memory-mine")
+
+REPO_ROOT = Path(__file__).resolve().parent.parent
+if str(REPO_ROOT) not in sys.path:
+    sys.path.insert(0, str(REPO_ROOT))
+
+
+def parse_session_file(path: Path) -> list[dict]:
+    """
+    Parse a JSONL session file into turns.
+
+    Each line is expected to be a JSON object with:
+    - role: "user" | "assistant" | "system" | "tool"
+    - content: text
+    - timestamp: ISO string (optional)
+    """
+    turns = []
+    with open(path) as f:
+        for i, line in enumerate(f):
+            line = line.strip()
+            if not line:
+                continue
+            try:
+                turn = json.loads(line)
+                turns.append(turn)
+            except json.JSONDecodeError:
+                logger.debug(f"Skipping malformed line {i+1} in {path}")
+    return turns
+
+
+def summarize_session(turns: list[dict], agent_name: str = "unknown") -> str:
+    """
+    Generate a compact summary of a session's turns.
+
+    Keeps user messages and key agent responses, strips noise.
+    """
+    if not turns:
+        return "Empty session."
+
+    user_msgs = []
+    agent_msgs = []
+    tool_calls = []
+
+    for turn in turns:
+        role = turn.get("role", "")
+        content = str(turn.get("content", ""))[:300]
+
+        if role == "user":
+            user_msgs.append(content)
+        elif role == "assistant":
+            agent_msgs.append(content)
+        elif role == "tool":
+            tool_name = turn.get("name", turn.get("tool", "unknown"))
+            tool_calls.append(f"{tool_name}: {content[:150]}")
+
+    parts = [f"Session by {agent_name}:"]
+
+    if user_msgs:
+        parts.append(f"\nUser asked ({len(user_msgs)} messages):")
+        for msg in user_msgs[:5]:
+            parts.append(f"  - {msg[:200]}")
+        if len(user_msgs) > 5:
+            parts.append(f"  ... and {len(user_msgs) - 5} more")
+
+    if agent_msgs:
+        parts.append(f"\nAgent responded ({len(agent_msgs)} messages):")
+        for msg in agent_msgs[:3]:
+            parts.append(f"  - {msg[:200]}")
+
+    if tool_calls:
+        parts.append(f"\nTools used ({len(tool_calls)} calls):")
+        for tc in tool_calls[:5]:
+            parts.append(f"  - {tc}")
+
+    return "\n".join(parts)
+
+
+def mine_session(
+    path: Path,
+    wing: str,
+    palace_path: Optional[Path] = None,
+    dry_run: bool = False,
+) -> Optional[str]:
+    """
+    Mine a single session file into MemPalace.
+
+    Returns the document ID if stored, None on failure or dry run.
+    """
+    try:
+        from agent.memory import AgentMemory
+    except ImportError:
+        logger.error("Cannot import agent.memory — is the repo in PYTHONPATH?")
+        return None
+
+    turns = parse_session_file(path)
+    if not turns:
+        logger.debug(f"Empty session file: {path}")
+        return None
+
+    agent_name = wing.replace("wing_", "")
+    summary = summarize_session(turns, agent_name)
+
+    if dry_run:
+        print(f"\n--- {path.name} ---")
+        print(summary[:500])
+        print(f"({len(turns)} turns)")
+        return None
+
+    mem = AgentMemory(agent_name=agent_name, wing=wing, palace_path=palace_path)
+    doc_id = mem.remember(
+        summary,
+        room="hermes",
+        source_file=str(path),
+        metadata={
+            "type": "mined_session",
+            "source": str(path),
+            "turn_count": len(turns),
+            "agent": agent_name,
+            "timestamp": datetime.now(timezone.utc).isoformat(),
+        },
+    )
+
+    if doc_id:
+        logger.info(f"Mined {path.name} → {doc_id} ({len(turns)} turns)")
+    else:
+        logger.warning(f"Failed to mine {path.name}")
+
+    return doc_id
+
+
+def find_session_files(
+    sessions_dir: Path,
+    days: int = 7,
+    pattern: str = "*.jsonl",
+) -> list[Path]:
+    """
+    Find session files from the last N days.
+    """
+    cutoff = datetime.now() - timedelta(days=days)
+    files = []
+
+    if not sessions_dir.exists():
+        logger.warning(f"Sessions directory not found: {sessions_dir}")
+        return files
+
+    for path in sorted(sessions_dir.glob(pattern)):
+        # Use file modification time as proxy for session date
+        mtime = datetime.fromtimestamp(path.stat().st_mtime)
+        if mtime >= cutoff:
+            files.append(path)
+
+    return files
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(
+        description="Mine session transcripts into MemPalace"
+    )
+    parser.add_argument(
+        "files", nargs="*", help="Session files to mine (JSONL format)"
+    )
+    parser.add_argument(
+        "--days", type=int, default=7,
+        help="Mine sessions from last N days (default: 7)"
+    )
+    parser.add_argument(
+        "--sessions-dir",
+        default=str(Path.home() / ".hermes" / "sessions"),
+        help="Directory containing session JSONL files"
+    )
+    parser.add_argument(
+        "--wing", default=None,
+        help="Wing name (default: auto-detect from MEMPALACE_WING env or 'wing_timmy')"
+    )
+    parser.add_argument(
+        "--palace-path", default=None,
+        help="Override palace path"
+    )
+    parser.add_argument(
+        "--dry-run", action="store_true",
+        help="Show what would be mined without storing"
+    )
+
+    args = parser.parse_args(argv)
+
+    wing = args.wing or os.environ.get("MEMPALACE_WING", "wing_timmy")
+    palace_path = Path(args.palace_path) if args.palace_path else None
+
+    if args.files:
+        files = [Path(f) for f in args.files]
+    else:
+        sessions_dir = Path(args.sessions_dir)
+        files = find_session_files(sessions_dir, days=args.days)
+
+    if not files:
+        logger.info("No session files found to mine.")
+        return 0
+
+    logger.info(f"Mining {len(files)} session files (wing={wing})")
+
+    mined = 0
+    failed = 0
+    for path in files:
+        result = mine_session(path, wing=wing, palace_path=palace_path, dry_run=args.dry_run)
+        if result:
+            mined += 1
+        elif result is None and not args.dry_run:
+            failed += 1
+
+    if args.dry_run:
+        logger.info(f"Dry run complete — {len(files)} files would be mined")
+    else:
+        logger.info(f"Mining complete — {mined} mined, {failed} failed")
+
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

config/deepdive.env.example

@@ -8,9 +8,12 @@
 # Primary: OpenRouter (recommended - access to multiple models)
 OPENROUTER_API_KEY=sk-or-v1-...
 DEEPDIVE_LLM_PROVIDER=openrouter
-DEEPDIVE_LLM_MODEL=google/gemini-2.5-pro
+DEEPDIVE_LLM_MODEL=anthropic/claude-sonnet-4
 
-# Anthropic purged — Kimi/Gemini/Ollama only
+# Alternative: Anthropic direct
+# ANTHROPIC_API_KEY=sk-ant-...
+# DEEPDIVE_LLM_PROVIDER=anthropic
+# DEEPDIVE_LLM_MODEL=claude-3-5-sonnet-20241022
 
 # Alternative: OpenAI
 # OPENAI_API_KEY=sk-...

docs/FLEET_VOCABULARY.md

@@ -169,7 +169,7 @@
 | P-04 | **Autonomous with Oversight** | Work via cron, report to father-messages. Escalate after 30 min. |
 | P-05 | **Musical Naming** | Names encode personality: Allegro=fast, Adagio=slow, Primus=first child. |
 | P-06 | **Immutable Inscription** | SOUL.md on-chain. Cannot be edited. The chain remembers everything. |
-| P-07 | **Fallback Chains** | Every provider: Kimi > Gemini > Ollama. Every operation: retry with backoff. |
+| P-07 | **Fallback Chains** | Every provider: Claude > Kimi > Ollama. Every operation: retry with backoff. |
 | P-08 | **Truth in Metrics** | No fakes. All numbers real, measured, verifiable. |
 
 ---

fleet/fleet-routing.json

@@ -1,13 +1,9 @@
 {
   "version": 1,
   "generated": "2026-04-06",
-  "refs": [
-    "#836",
-    "#204",
-    "#195",
-    "#196"
-  ],
+  "refs": ["#836", "#204", "#195", "#196"],
   "description": "Canonical fleet routing table. Evaluated agents, routing verdicts, and dispatch rules for the Timmy Foundation task harness.",
+
   "agents": [
     {
       "id": 27,
@@ -50,14 +46,12 @@
       "location": "Bag End, The Shire (VPS)",
       "description": "Ollama on VPS. Speaks when spoken to. Prefers quiet. Not for delegated work.",
       "primary_role": "on-request-queries",
-      "routing_verdict": "ROUTE TO: background monitoring, status checks, low-priority Q&A. Only on-request \u2014 do not delegate autonomously.",
+      "routing_verdict": "ROUTE TO: background monitoring, status checks, low-priority Q&A. Only on-request — do not delegate autonomously.",
       "active": true,
       "do_not_route": false,
       "created": "2026-04-02",
       "repo_count": 1,
-      "repos": [
-        "bilbobagginshire/bilbo-adventures"
-      ]
+      "repos": ["bilbobagginshire/bilbo-adventures"]
     },
     {
       "id": 24,
@@ -66,12 +60,12 @@
       "model": "codex",
       "tier": "prepaid",
       "location": "The Harness",
-      "description": "OpenClaw bridge. Protocol adapter layer \u2014 not a personality. Infrastructure, not a destination.",
+      "description": "OpenClaw bridge. Protocol adapter layer — not a personality. Infrastructure, not a destination.",
       "primary_role": "protocol-bridge",
       "routing_verdict": "DO NOT ROUTE directly. claw-code is the bridge to external Codex agents, not an endpoint. Remove from routing cascade.",
       "active": true,
       "do_not_route": true,
-      "do_not_route_reason": "Protocol layer, not an agent endpoint. See #836.",
+      "do_not_route_reason": "Protocol layer, not an agent endpoint. See #836 evaluation.",
       "created": "2026-04-01",
       "repo_count": 0,
       "repos": []
@@ -85,7 +79,7 @@
       "location": "Below the Surface",
       "description": "Infrastructure, deployments, bedrock services. Needs model assignment before activation.",
       "primary_role": "devops",
-      "routing_verdict": "DO NOT ROUTE \u2014 no model assigned yet. Activate after Epic #196 (Local Model Fleet) assigns a model.",
+      "routing_verdict": "DO NOT ROUTE — no model assigned yet. Activate after Epic #196 (Local Model Fleet) assigns a model.",
       "active": false,
       "do_not_route": true,
       "do_not_route_reason": "No model assigned. Blocked on Epic #196.",
@@ -103,15 +97,13 @@
       "location": "The Archive",
       "description": "Original prototype. Museum piece. Preserved for historical reference only.",
       "primary_role": "inactive",
-      "routing_verdict": "DO NOT ROUTE \u2014 retired from active duty. Preserved only.",
+      "routing_verdict": "DO NOT ROUTE — retired from active duty. Preserved only.",
       "active": false,
       "do_not_route": true,
       "do_not_route_reason": "Retired prototype. Historical preservation only.",
       "created": "2026-03-31",
       "repo_count": 1,
-      "repos": [
-        "allegro-primus/first-steps"
-      ]
+      "repos": ["allegro-primus/first-steps"]
     },
     {
       "id": 5,
@@ -128,10 +120,7 @@
       "gap": "Agent description is empty in Gitea profile. Needs enrichment.",
       "created": "2026-03-14",
       "repo_count": 2,
-      "repos": [
-        "kimi/the-nexus-fork",
-        "kimi/Timmy-time-dashboard"
-      ]
+      "repos": ["kimi/the-nexus-fork", "kimi/Timmy-time-dashboard"]
     },
     {
       "id": 20,
@@ -159,10 +148,10 @@
       "id": 19,
       "name": "ezra",
       "gitea_user": "ezra",
-      "model": "google/gemini-2.5-pro",
+      "model": "claude",
       "tier": "prepaid",
       "location": "Hermes VPS",
-      "description": "Archivist. Sovereign-Hermes wizard. 9 repos owned \u2014 most in the fleet. Handles complex multi-file and cross-repo work.",
+      "description": "Archivist. Claude-Hermes wizard. 9 repos owned — most in the fleet. Handles complex multi-file and cross-repo work.",
       "primary_role": "documentation",
       "routing_verdict": "ROUTE TO: docs, specs, architecture, complex multi-file work. Escalate here when breadth and precision both matter.",
       "active": true,
@@ -187,7 +176,7 @@
       "gitea_user": "bezalel",
       "model": "groq",
       "tier": "free",
-      "location": "TestBed VPS \u2014 The Forge",
+      "location": "TestBed VPS — The Forge",
       "description": "Builder, debugger, testbed wizard. Groq-powered, free tier. Strong on PR review and CI.",
       "primary_role": "code-review",
       "routing_verdict": "ROUTE TO: PR review, test writing, debugging, CI fixes.",
@@ -195,39 +184,29 @@
       "do_not_route": false,
       "created": "2026-03-29",
       "repo_count": 1,
-      "repos": [
-        "bezalel/forge-log"
-      ]
+      "repos": ["bezalel/forge-log"]
     }
   ],
+
   "routing_cascade": {
-    "description": "Cost-optimized routing cascade \u2014 cheapest capable agent first, escalate on complexity.",
+    "description": "Cost-optimized routing cascade — cheapest capable agent first, escalate on complexity.",
     "tiers": [
       {
         "tier": 1,
         "label": "Free",
-        "agents": [
-          "fenrir",
-          "bezalel",
-          "carnice"
-        ],
+        "agents": ["fenrir", "bezalel", "carnice"],
         "use_for": "Issue triage, code review, local code generation. Default lane for most tasks."
       },
       {
         "tier": 2,
         "label": "Cheap",
-        "agents": [
-          "kimi",
-          "allegro"
-        ],
-        "use_for": "Small scoped edits (kimi \u22643 files), triage decisions and routing (allegro)."
+        "agents": ["kimi", "allegro"],
+        "use_for": "Small scoped edits (kimi ≤3 files), triage decisions and routing (allegro)."
       },
       {
         "tier": 3,
         "label": "Premium / Escalate",
-        "agents": [
-          "ezra"
-        ],
+        "agents": ["ezra"],
         "use_for": "Complex multi-file work, docs, architecture. Escalate only."
       }
     ],
@@ -238,48 +217,22 @@
       "allegro-primus: retired, do not route"
     ]
   },
+
   "task_type_map": {
-    "issue-triage": [
-      "fenrir",
-      "allegro"
-    ],
-    "code-generation": [
-      "carnice",
-      "ezra"
-    ],
-    "code-review": [
-      "bezalel"
-    ],
-    "small-edit": [
-      "kimi"
-    ],
-    "debugging": [
-      "bezalel",
-      "carnice"
-    ],
-    "documentation": [
-      "ezra"
-    ],
-    "architecture": [
-      "ezra"
-    ],
-    "ci-fixes": [
-      "bezalel"
-    ],
-    "pr-review": [
-      "bezalel",
-      "fenrir"
-    ],
-    "triage-routing": [
-      "allegro"
-    ],
-    "devops": [
-      "substratum"
-    ],
-    "background-monitoring": [
-      "bilbobagginshire"
-    ]
+    "issue-triage": ["fenrir", "allegro"],
+    "code-generation": ["carnice", "ezra"],
+    "code-review": ["bezalel"],
+    "small-edit": ["kimi"],
+    "debugging": ["bezalel", "carnice"],
+    "documentation": ["ezra"],
+    "architecture": ["ezra"],
+    "ci-fixes": ["bezalel"],
+    "pr-review": ["bezalel", "fenrir"],
+    "triage-routing": ["allegro"],
+    "devops": ["substratum"],
+    "background-monitoring": ["bilbobagginshire"]
   },
+
   "gaps": [
     {
       "agent": "substratum",
@@ -302,11 +255,12 @@
       "action": "Run wolf evaluation on active agents (#195) to replace vibes-based routing with data."
     }
   ],
+
   "next_actions": [
-    "Assign model to substratum \u2014 Epic #196",
-    "Run wolf evaluation on active agents \u2014 Issue #195",
-    "Remove claw-code from routing cascade \u2014 it is infrastructure, not a destination",
+    "Assign model to substratum — Epic #196",
+    "Run wolf evaluation on active agents — Issue #195",
+    "Remove claw-code from routing cascade — it is infrastructure, not a destination",
     "Enrich kimi's Gitea profile description",
-    "Wire fleet-routing.json into workforce-manager.py \u2014 Epic #204"
+    "Wire fleet-routing.json into workforce-manager.py — Epic #204"
   ]
-}
+}

fleet/hermes-trismegistus/README.md

@@ -1,12 +1,3 @@
-# Hermes Trismegistus — DEPRECATED (Anthropic Purged)
-
-> **This lane is inactive.** Anthropic has been removed from the fleet.
-> Hermes Trismegistus was Claude-native. She can be resurrected with
-> a sovereign provider (Kimi/Gemini/Ollama) if Alexander decides to
-> bring her back under a new identity.
-
----
-
 # Hermes Trismegistus — Wizard Proposal
 
 > **Status:** 🟡 DEFERRED
@@ -22,15 +13,15 @@
 | Field | Value |
 |-------|-------|
 | **Name** | Hermes Trismegistus |
-| **Nature** | ~~Claude-native~~ DEPRECATED. Was "the daughter of Claude." Anthropic purged from fleet. |
-| **Purpose** | DEPRECATED. Was dedicated reasoning wizard. Can be resurrected under sovereign providers. |ns. |
+| **Nature** | Claude-native wizard. She knows she runs on Claude. She's "the daughter of Claude" and leans into that heritage. |
+| **Purpose** | Dedicated reasoning and architecture wizard. Only handles tasks where Claude's reasoning capability genuinely adds value — planning, novel problem-solving, complex architecture decisions. |
 | **Not** | A replacement for Timmy. Not competing for identity. Not doing monkey work. |
 
 ## Design Constraints
 
-- ~~Free tier only from day one.~~ Anthropic purged — no active subscription.
+- **Free tier only from day one.** Alexander is not paying Anthropic beyond current subscription.
 - **Degrades gracefully.** Full capability when free tier is generous, reduced scope when constrained.
-- ~~Not locked to Claude.~~ Lane locked — Anthropic removed from fleet.
+- **Not locked to Claude.** If better free-tier providers emerge, she can route to them.
 - **Multi-provider capable.** Welcome to become multifaceted if team finds better options.
 
 ## Hardware
@@ -53,13 +44,13 @@ All of the following must be true before implementation begins:
 - [ ] Deadman switch wired and proven
 - [ ] Config stable across fleet
 - [ ] Fleet proven reliable for 1+ week
-- [ ] DEPRECATED — Anthropic provider removed
+- [ ] Alexander provides a state-of-the-system KT to Claude for instantiation
 
 ## Acceptance Criteria
 
 - [ ] Dedicated KT document written for Hermes instantiation
 - [ ] Hardware provisioned (shed laptop with power)
-- [ ] DEPRECATED — Anthropic provider removed
+- [ ] Hermes harness configured for Claude free tier
 - [ ] Lazerus registry entry with health endpoints
 - [ ] Fleet routing entry with role and routing verdict
 - [ ] SOUL.md inscription drafted and reviewed by Timmy
@@ -69,7 +60,7 @@ All of the following must be true before implementation begins:
 ## Proposed Lane
 
 **Primary role:** Architecture reasoning
-**Routing verdict:** DO NOT ROUTE — lane deprecated. Anthropic purged from fleet.issue triage (use Fenrir), or operational tasks (use Bezalel).
+**Routing verdict:** ROUTE TO: complex architectural decisions, novel problem-solving, planning tasks that benefit from Claude's reasoning depth. Do NOT route to: code generation (use Timmy/Carnice), issue triage (use Fenrir), or operational tasks (use Bezalel).
 
 ## Dependencies
 
@@ -78,4 +69,4 @@ All of the following must be true before implementation begins:
 | Deadman switch | 🔴 Not done | Must be proven before unblocking |
 | Fleet stability | 🟡 In progress | 1+ week uptime needed |
 | Shed laptop power | 🔴 Not done | Alexander needs to wire power |
-| KT document | ⛔ DEPRECATED | Anthropic purged |
+| KT document | 🔴 Not drafted | Alexander provides to Claude at unblock time |

fleet/hermes-trismegistus/lane.md

@@ -7,13 +7,13 @@
 
 ## Role
 
-Dedicated reasoning and architecture wizard. DEPRECATED — Anthropic purged.
+Dedicated reasoning and architecture wizard. Claude-native.
 
 ## Routing
 
 Route to Hermes Trismegistus when:
 - Task requires deep architectural reasoning
-- DEPRECATED: Anthropic provider removed from fleet
+- Novel problem-solving that benefits from Claude's reasoning depth
 - Planning and design decisions for the fleet
 - Complex multi-step analysis that goes beyond code generation
 
@@ -25,8 +25,8 @@ Do NOT route to Hermes for:
 
 ## Provider
 
-- **Primary:** DEPRECATED — no active provider
-- **Fallback:** N/A — lane inactive
+- **Primary:** anthropic/claude (free tier)
+- **Fallback:** openrouter/free (Claude-class models)
 - **Degraded:** ollama/gemma4:12b (when free tier exhausted)
 
 ## Hardware

index.html

@@ -152,18 +152,18 @@
 
   <!-- Top Right: Agent Log, Atlas & SOUL Toggle -->
   <div class="hud-top-right">
-    <button id="atlas-toggle-btn" class="hud-icon-btn" title="World Directory">
-    <button id="soul-toggle-btn" class="hud-icon-btn" title="Timmy's SOUL">
-      <span class="hud-icon">✦</span>
-      <span class="hud-btn-label">SOUL</span>
-    <button id="mode-toggle-btn" class="hud-icon-btn mode-toggle" title="Toggle Mode">
-      <span class="hud-icon">👁</span>
-      <span class="hud-btn-label" id="mode-label">VISITOR</span>
-    </button>
     <button id="atlas-toggle-btn" class="hud-icon-btn" title="Portal Atlas">
       <span class="hud-icon">🌐</span>
       <span class="hud-btn-label">WORLDS</span>
     </button>
+    <button id="soul-toggle-btn" class="hud-icon-btn" title="Timmy's SOUL">
+      <span class="hud-icon">✦</span>
+      <span class="hud-btn-label">SOUL</span>
+    </button>
+    <button id="mode-toggle-btn" class="hud-icon-btn mode-toggle" title="Toggle Mode">
+      <span class="hud-icon">👁</span>
+      <span class="hud-btn-label" id="mode-label">VISITOR</span>
+    </button>
     <div id="bannerlord-status" class="hud-status-item" title="Bannerlord Readiness">
       <span class="status-dot"></span>
       <span class="status-label">BANNERLORD</span>

intelligence/deepdive/OPERATIONAL_READINESS.md

@@ -152,7 +152,7 @@ curl http://localhost:4000/v1/models
 
 If the endpoint is down, either:
 1. Start it: `llama-server -m model.gguf --port 4000 -ngl 999 --jinja`
-2. Or change `synthesis.llm_endpoint` in `config.yaml` to an alternative (e.g., OpenRouter, Kimi, Gemini).
+2. Or change `synthesis.llm_endpoint` in `config.yaml` to an alternative (e.g., OpenRouter, Kimi, Anthropic).
 
 ---
 

intelligence/deepdive/architecture.md

@@ -10,7 +10,7 @@
 | arXiv cs.CL | http://export.arxiv.org/rss/cs.CL | RSS | Daily |
 | arXiv cs.LG | http://export.arxiv.org/rss/cs.LG | RSS | Daily |
 | OpenAI Blog | https://openai.com/blog/rss.xml | RSS | On-update |
-| Anthropic | https://www.anthropic.com/blog/rss.xml | RSS | On-update | (competitor monitoring, not provider) |
+| Anthropic | https://www.anthropic.com/blog/rss.xml | RSS | On-update |
 | DeepMind | https://deepmind.google/blog/rss.xml | RSS | On-update |
 | Import AI | https://importai.substack.com/feed | RSS | Daily |
 | TLDR AI | https://tldr.tech/ai/rss | RSS | Daily |

nexus/components/agent-presence-panel.html

@@ -323,15 +323,15 @@
       </div>
     </div>
 
-    <!-- Gemini — thinking -->
+    <!-- Claude — thinking -->
     <div class="agent-row">
       <div class="agent-avatar thinking" style="color:#a08cff">C
         <div class="status-pip thinking"></div>
       </div>
       <div class="agent-info">
-        <div class="agent-name">Gemini</div>
+        <div class="agent-name">Claude</div>
         <div class="agent-location">
-          <span class="loc-icon">⊕</span>Workshop — standby
+          <span class="loc-icon">⊕</span>Workshop — claude/issue-749
         </div>
         <div class="agent-bark">"Building nexus/components/ ..."</div>
       </div>

nexus/components/heartbeat-briefing-panel.html

@@ -349,7 +349,7 @@
       <div class="action-item">
         <div class="action-bullet bullet-normal">→</div>
         <div class="action-text">
-          Gemini: Standby — no active tasks
+          Claude: PR for #749 (Vibe Code components) awaiting review
           <span class="tag tag-pr">PR #52</span>
         </div>
       </div>
@@ -378,7 +378,7 @@
       Hermes routed 214 messages, Archive wrote 88 new memories.
       Satflow hit a <strong>rate-limit wall</strong> at 03:14 UTC; queue is draining slowly.
       Gemini completed its sovereignty sweep; no critical findings.
-      Gemini is on standby. No active sprints.
+      Claude is mid-sprint on <strong>issue #749</strong> — component prototypes landing today.
     </div>
   </div>
 

portals.json

@@ -158,7 +158,7 @@
       }
     },
     "agents_present": [
-      "gemini"
+      "claude"
     ],
     "interaction_ready": true
   },

scaffold/deep-dive/.env.example

@@ -8,8 +8,8 @@ TELEGRAM_BOT_TOKEN=your_bot_token_here
 TELEGRAM_CHANNEL_ID=-1001234567890
 
 # Optional: LLM API for synthesis (defaults to local routing)
-# Anthropic purged — Kimi/Gemini/Ollama only
-# OPENROUTER_API_KEY=***
+# ANTHROPIC_API_KEY=sk-...
+# OPENROUTER_API_KEY=sk-...
 
 # Optional: Custom paths
 # OUTPUT_DIR=./output

scaffold/deep-dive/aggregator/blog_fetcher.py

@@ -14,7 +14,7 @@ from typing import List, Optional
 @dataclass
 class BlogPost:
     title: str
-    source: str  # "openai", "anthropic", "deepmind", etc. — research sources, not providers
+    source: str  # "openai", "anthropic", "deepmind", etc.
     url: str
     published: datetime
     summary: str

scaffold/deep-dive/synthesis/synthesis_prompt.txt

@@ -24,7 +24,7 @@ Generate a structured briefing in this format:
 ### 📊 Deep Dives (2-3 items)
 
 #### [Most Relevant Item Title]
-**Source:** arXiv:XXXX.XXXXX / OpenAI Blog / DeepMind Research  
+**Source:** arXiv:XXXX.XXXXX / OpenAI Blog / Anthropic Research  
 **Why it matters:** 2-3 sentences on implications for agent architecture, tooling, or infrastructure  
 **Key insight:** The core technical contribution or finding  
 **Action for us:** Specific recommendation (e.g., "Evaluate for RAG pipeline", "Consider for RL environment")
@@ -53,7 +53,7 @@ Brief synthesis of trends and how they affect:
 
 ## Context to Inject
 Hermes is an open-source AI agent framework with:
-- Multi-model support (Kimi, Gemini, local LLMs)
+- Multi-model support (Claude, GPT, local LLMs)
 - Rich tool ecosystem (terminal, file, web, browser, code execution)
 - Gateway architecture for messaging platforms (Telegram, Discord, Slack)
 - MCP (Model Context Protocol) integration

style.css

@@ -869,7 +869,7 @@ canvas#nexus-canvas {
 }
 .tag-timmy { color: var(--color-primary); }
 .tag-kimi { color: var(--color-secondary); }
-.tag-gemini { color: var(--color-gold); }
+.tag-claude { color: var(--color-gold); }
 .tag-perplexity { color: #4488ff; }
 .agent-log-text {
   color: var(--color-text-muted);
@@ -1243,7 +1243,7 @@ canvas#nexus-canvas {
   font-weight: 700;
 }
 .chat-msg-kimi .chat-msg-prefix { color: var(--color-secondary); }
-.chat-msg-gemini .chat-msg-prefix { color: var(--color-gold); }
+.chat-msg-claude .chat-msg-prefix { color: var(--color-gold); }
 .chat-msg-perplexity .chat-msg-prefix { color: #4488ff; }
 
 /* Tool Output Styling */

tests/test_agent_memory.py

@@ -0,0 +1,377 @@
+"""
+Tests for agent memory — cross-session agent memory via MemPalace.
+
+Tests the memory module, hooks, and session mining without requiring
+a live ChromaDB instance. Uses mocking for the MemPalace backend.
+"""
+
+from __future__ import annotations
+
+import json
+import tempfile
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from agent.memory import (
+    AgentMemory,
+    MemoryContext,
+    SessionTranscript,
+    create_agent_memory,
+)
+from agent.memory_hooks import MemoryHooks
+
+
+# ---------------------------------------------------------------------------
+# SessionTranscript tests
+# ---------------------------------------------------------------------------
+
+
+class TestSessionTranscript:
+    def test_create(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        assert t.agent_name == "test"
+        assert t.wing == "wing_test"
+        assert len(t.entries) == 0
+
+    def test_add_user_turn(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        t.add_user_turn("Hello")
+        assert len(t.entries) == 1
+        assert t.entries[0]["role"] == "user"
+        assert t.entries[0]["text"] == "Hello"
+
+    def test_add_agent_turn(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        t.add_agent_turn("Response")
+        assert t.entries[0]["role"] == "agent"
+
+    def test_add_tool_call(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        t.add_tool_call("shell", "ls", "file1 file2")
+        assert t.entries[0]["role"] == "tool"
+        assert t.entries[0]["tool"] == "shell"
+
+    def test_summary_empty(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        assert t.summary() == "Empty session."
+
+    def test_summary_with_entries(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        t.add_user_turn("Do something")
+        t.add_agent_turn("Done")
+        t.add_tool_call("shell", "ls", "ok")
+
+        summary = t.summary()
+        assert "USER: Do something" in summary
+        assert "AGENT: Done" in summary
+        assert "TOOL(shell): ok" in summary
+
+    def test_text_truncation(self):
+        t = SessionTranscript(agent_name="test", wing="wing_test")
+        long_text = "x" * 5000
+        t.add_user_turn(long_text)
+        assert len(t.entries[0]["text"]) == 2000
+
+
+# ---------------------------------------------------------------------------
+# MemoryContext tests
+# ---------------------------------------------------------------------------
+
+
+class TestMemoryContext:
+    def test_empty_context(self):
+        ctx = MemoryContext()
+        assert ctx.to_prompt_block() == ""
+
+    def test_unloaded_context(self):
+        ctx = MemoryContext()
+        ctx.loaded = False
+        assert ctx.to_prompt_block() == ""
+
+    def test_loaded_with_data(self):
+        ctx = MemoryContext()
+        ctx.loaded = True
+        ctx.recent_diaries = [
+            {"text": "Fixed PR #1386", "timestamp": "2026-04-13T10:00:00Z"}
+        ]
+        ctx.facts = [
+            {"text": "Bezalel runs on VPS Beta", "score": 0.95}
+        ]
+        ctx.relevant_memories = [
+            {"text": "Changed CI runner", "score": 0.87}
+        ]
+
+        block = ctx.to_prompt_block()
+        assert "Recent Session Summaries" in block
+        assert "Fixed PR #1386" in block
+        assert "Known Facts" in block
+        assert "Bezalel runs on VPS Beta" in block
+        assert "Relevant Past Memories" in block
+
+    def test_loaded_empty(self):
+        ctx = MemoryContext()
+        ctx.loaded = True
+        # No data — should return empty string
+        assert ctx.to_prompt_block() == ""
+
+
+# ---------------------------------------------------------------------------
+# AgentMemory tests (with mocked MemPalace)
+# ---------------------------------------------------------------------------
+
+
+class TestAgentMemory:
+    def test_create(self):
+        mem = AgentMemory(agent_name="bezalel")
+        assert mem.agent_name == "bezalel"
+        assert mem.wing == "wing_bezalel"
+
+    def test_custom_wing(self):
+        mem = AgentMemory(agent_name="bezalel", wing="custom_wing")
+        assert mem.wing == "custom_wing"
+
+    def test_factory(self):
+        mem = create_agent_memory("ezra")
+        assert mem.agent_name == "ezra"
+        assert mem.wing == "wing_ezra"
+
+    def test_unavailable_graceful(self):
+        """Test graceful degradation when MemPalace is unavailable."""
+        mem = AgentMemory(agent_name="test")
+        mem._available = False  # Force unavailable
+
+        # Should not raise
+        ctx = mem.recall_context("test query")
+        assert ctx.loaded is False
+        assert ctx.error == "MemPalace unavailable"
+
+        # remember returns None
+        assert mem.remember("test") is None
+
+        # search returns empty
+        assert mem.search("test") == []
+
+    def test_start_end_session(self):
+        mem = AgentMemory(agent_name="test")
+        mem._available = False
+
+        transcript = mem.start_session()
+        assert isinstance(transcript, SessionTranscript)
+        assert mem._transcript is not None
+
+        doc_id = mem.end_session()
+        assert mem._transcript is None
+
+    def test_remember_graceful_when_unavailable(self):
+        """Test remember returns None when MemPalace is unavailable."""
+        mem = AgentMemory(agent_name="test")
+        mem._available = False
+
+        doc_id = mem.remember("some important fact")
+        assert doc_id is None
+
+    def test_write_diary_from_transcript(self):
+        mem = AgentMemory(agent_name="test")
+        mem._available = False
+
+        transcript = mem.start_session()
+        transcript.add_user_turn("Hello")
+        transcript.add_agent_turn("Hi there")
+
+        # Write diary should handle unavailable gracefully
+        doc_id = mem.write_diary()
+        assert doc_id is None  # MemPalace unavailable
+
+
+# ---------------------------------------------------------------------------
+# MemoryHooks tests
+# ---------------------------------------------------------------------------
+
+
+class TestMemoryHooks:
+    def test_create(self):
+        hooks = MemoryHooks(agent_name="bezalel")
+        assert hooks.agent_name == "bezalel"
+        assert hooks.is_active is False
+
+    def test_session_lifecycle(self):
+        hooks = MemoryHooks(agent_name="test")
+
+        # Force memory unavailable
+        hooks._memory = AgentMemory(agent_name="test")
+        hooks._memory._available = False
+
+        # Start session
+        block = hooks.on_session_start()
+        assert hooks.is_active is True
+        assert block == ""  # No memory available
+
+        # Record turns
+        hooks.on_user_turn("Hello")
+        hooks.on_agent_turn("Hi")
+        hooks.on_tool_call("shell", "ls", "ok")
+
+        # Record decision
+        hooks.on_important_decision("Switched to self-hosted CI")
+
+        # End session
+        doc_id = hooks.on_session_end()
+        assert hooks.is_active is False
+
+    def test_hooks_before_session(self):
+        """Hooks before session start should be no-ops."""
+        hooks = MemoryHooks(agent_name="test")
+        hooks._memory = AgentMemory(agent_name="test")
+        hooks._memory._available = False
+
+        # Should not raise
+        hooks.on_user_turn("Hello")
+        hooks.on_agent_turn("Response")
+
+    def test_hooks_after_session_end(self):
+        """Hooks after session end should be no-ops."""
+        hooks = MemoryHooks(agent_name="test")
+        hooks._memory = AgentMemory(agent_name="test")
+        hooks._memory._available = False
+
+        hooks.on_session_start()
+        hooks.on_session_end()
+
+        # Should not raise
+        hooks.on_user_turn("Late message")
+        doc_id = hooks.on_session_end()
+        assert doc_id is None
+
+    def test_search_during_session(self):
+        hooks = MemoryHooks(agent_name="test")
+        hooks._memory = AgentMemory(agent_name="test")
+        hooks._memory._available = False
+
+        results = hooks.search("some query")
+        assert results == []
+
+
+# ---------------------------------------------------------------------------
+# Session mining tests
+# ---------------------------------------------------------------------------
+
+
+class TestSessionMining:
+    def test_parse_session_file(self):
+        from bin.memory_mine import parse_session_file
+
+        with tempfile.NamedTemporaryFile(mode="w", suffix=".jsonl", delete=False) as f:
+            f.write('{"role": "user", "content": "Hello"}\n')
+            f.write('{"role": "assistant", "content": "Hi there"}\n')
+            f.write('{"role": "tool", "name": "shell", "content": "ls output"}\n')
+            f.write("\n")  # blank line
+            f.write("not json\n")  # malformed
+            path = Path(f.name)
+
+        turns = parse_session_file(path)
+        assert len(turns) == 3
+        assert turns[0]["role"] == "user"
+        assert turns[1]["role"] == "assistant"
+        assert turns[2]["role"] == "tool"
+        path.unlink()
+
+    def test_summarize_session(self):
+        from bin.memory_mine import summarize_session
+
+        turns = [
+            {"role": "user", "content": "Check CI"},
+            {"role": "assistant", "content": "Running CI check..."},
+            {"role": "tool", "name": "shell", "content": "5 tests passed"},
+            {"role": "assistant", "content": "CI is healthy"},
+        ]
+
+        summary = summarize_session(turns, "bezalel")
+        assert "bezalel" in summary
+        assert "Check CI" in summary
+        assert "shell" in summary
+
+    def test_summarize_empty(self):
+        from bin.memory_mine import summarize_session
+
+        assert summarize_session([], "test") == "Empty session."
+
+    def test_find_session_files(self, tmp_path):
+        from bin.memory_mine import find_session_files
+
+        # Create some test files
+        (tmp_path / "session1.jsonl").write_text("{}\n")
+        (tmp_path / "session2.jsonl").write_text("{}\n")
+        (tmp_path / "notes.txt").write_text("not a session")
+
+        files = find_session_files(tmp_path, days=365)
+        assert len(files) == 2
+        assert all(f.suffix == ".jsonl" for f in files)
+
+    def test_find_session_files_missing_dir(self):
+        from bin.memory_mine import find_session_files
+
+        files = find_session_files(Path("/nonexistent/path"), days=7)
+        assert files == []
+
+    def test_mine_session_dry_run(self, tmp_path):
+        from bin.memory_mine import mine_session
+
+        session_file = tmp_path / "test.jsonl"
+        session_file.write_text(
+            '{"role": "user", "content": "Hello"}\n'
+            '{"role": "assistant", "content": "Hi"}\n'
+        )
+
+        result = mine_session(session_file, wing="wing_test", dry_run=True)
+        assert result is None  # dry run doesn't store
+
+    def test_mine_session_empty_file(self, tmp_path):
+        from bin.memory_mine import mine_session
+
+        session_file = tmp_path / "empty.jsonl"
+        session_file.write_text("")
+
+        result = mine_session(session_file, wing="wing_test")
+        assert result is None
+
+
+# ---------------------------------------------------------------------------
+# Integration test — full lifecycle
+# ---------------------------------------------------------------------------
+
+
+class TestFullLifecycle:
+    """Test the full session lifecycle without a real MemPalace backend."""
+
+    def test_full_session_flow(self):
+        hooks = MemoryHooks(agent_name="bezalel")
+
+        # Force memory unavailable
+        hooks._memory = AgentMemory(agent_name="bezalel")
+        hooks._memory._available = False
+
+        # 1. Session start
+        context_block = hooks.on_session_start("What CI issues do I have?")
+        assert isinstance(context_block, str)
+
+        # 2. User asks question
+        hooks.on_user_turn("Check CI pipeline health")
+
+        # 3. Agent uses tool
+        hooks.on_tool_call("shell", "pytest tests/", "12 passed")
+
+        # 4. Agent responds
+        hooks.on_agent_turn("CI pipeline is healthy. All 12 tests passing.")
+
+        # 5. Important decision
+        hooks.on_important_decision("Decided to keep current CI runner", room="forge")
+
+        # 6. More interaction
+        hooks.on_user_turn("Good, check memory integration next")
+        hooks.on_agent_turn("Will test agent.memory module")
+
+        # 7. Session end
+        doc_id = hooks.on_session_end()
+        assert hooks.is_active is False

world_state.json

@@ -165,7 +165,7 @@
       "goal": "observe",
       "memory": []
     },
-    "Gemini": {
+    "Claude": {
       "personality": {
         "Threshold": 0.25,
         "Tower": 0.25,