CLAUDE.md

@@ -0,0 +1,71 @@
+# Agent Orchestra
+
+Multi-agent system with Claude agents communicating via Slack.
+Each agent runs inside its own Docker container with the Claude Agent SDK.
+
+## Quick Start
+```bash
+# Start all services
+docker-compose up -d
+
+# Or for local development:
+uv sync
+cp .env.example .env  # Fill in ANTHROPIC_API_KEY, Slack tokens, Gitea tokens
+uv run python -m orchestra.main
+```
+
+## Architecture
+
+- **Orchestrator**: Lightweight service that routes Slack messages to agents via HTTP
+- **Agent Containers**: Each runs Claude SDK + HTTP API for receiving messages
+- **Tools**: Built-in (Read/Write/Bash run in container) + custom MCP tools
+- **Permissions**: PreToolUse hooks enforce agent-specific restrictions
+- **Communication**: Orchestrator → HTTP → Agent containers
+
+```
+Orchestrator (Slack listener) --HTTP--> Agent Containers (SDK + HTTP API)
+```
+
+## Claude Agent SDK Usage
+
+Each agent container runs `ClaudeSDKClient` for persistent conversations.
+The orchestrator communicates with agents via HTTP API.
+
+```python
+# In agent container
+from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
+
+async with ClaudeSDKClient(options) as client:
+    await client.query(message)
+    async for msg in client.receive_response():
+        process(msg)
+```
+
+Custom tools use `@tool` decorator and `create_sdk_mcp_server()`.
+
+## Key Files
+- `config/orchestra.yml` - Global config (Slack, agent endpoints)
+- `config/agents/*.yml` - Agent definitions (tools, permissions, prompts)
+- `src/orchestra/core/orchestrator.py` - Slack listener, HTTP routing
+- `src/orchestra/agent/agent.py` - Agent service with SDK + HTTP API
+- `src/orchestra/tools/` - Custom MCP tool implementations
+
+## Agent Permissions
+
+Each agent has:
+- `allowed_tools` / `disallowed_tools` - Tool access
+- `permissions.filesystem` - Path restrictions
+- `permissions.git` - Branch push/merge restrictions
+
+Enforced via PreToolUse hooks that check before execution.
+
+## Testing
+```bash
+uv run pytest
+uv run pytest tests/test_agent.py -v
+```
+
+## Common Tasks
+- **Add agent**: Create YAML in config/agents/, add to docker-compose
+- **Add tool**: Use @tool decorator in src/orchestra/tools/, register in server
+- **Debug agent**: Check container logs: `docker logs agent-dev`

PLAN.md

@@ -12,12 +12,7 @@ A multi-agent system where Claude-powered agents collaborate via Slack, each run
    - `query()` - One-shot, creates new session each time
    - `ClaudeSDKClient` - Persistent session, maintains conversation history
    
-   We use `query()` with explicit memory injection because:
+   We use `ClaudeSDKClient` because agents need to remember context across messages.
-   - Full control over what context goes into each request
-   - Memory persists in files (survives restarts)
-   - Inspectable/debuggable - can read memory.md to see agent state
-   - More cost-effective - only sends relevant context, not full history
-   - Selective memory - can summarize, prune, or prioritize what's included
 
 2. **Built-in Tools**: The SDK includes Claude Code's tools:
    - `Read`, `Write`, `Edit` - File operations
@@ -89,10 +84,10 @@ We choose **Option B** because:
 - Cleaner permission model: container boundaries enforce filesystem isolation
 - More realistic: tools like Bash run in the agent's actual environment
 
-### Setting Up SDK with query() and Memory Injection
+### Setting Up SDK with Agent Options
 
 ```python
-from claude_agent_sdk import query, ClaudeAgentOptions, tool, create_sdk_mcp_server
+from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, tool, create_sdk_mcp_server
 
 # Create custom tools
 @tool("slack_send", "Send Slack message", {"channel": str, "text": str})
@@ -109,7 +104,7 @@ tools_server = create_sdk_mcp_server(
     tools=[slack_send]
 )
 
-# Configure agent options
+# Configure agent
 options = ClaudeAgentOptions(
     system_prompt=agent_config.system_prompt,
     model="sonnet",
@@ -133,27 +128,17 @@ options = ClaudeAgentOptions(
     }
 )
 
-# Query pattern: inject memory + task, get response, update memory
+# Create persistent client
-async def process_task(task: str, memory_path: str) -> str:
+async with ClaudeSDKClient(options) as client:
-    # 1. Load relevant memory
+    # Send message (client remembers context)
-    memory_content = read_memory(memory_path)
+    await client.query("Create a hello.py file")
+    async for msg in client.receive_response():
+        handle_message(msg)
     
-    # 2. Construct prompt with memory context
+    # Follow-up (same session, remembers previous)
-    prompt = f"""## Your Memory
+    await client.query("Add a main function")
-{memory_content}
+    async for msg in client.receive_response():
-
+        handle_message(msg)
-## Current Task
-{task}
-
-After completing the task, note any important information to remember."""
-
-    # 3. One-shot query (no session state)
-    response = await query(prompt, options=options)
-
-    # 4. Extract and update memory from response
-    update_memory(memory_path, response)
-
-    return response
 ```
 
 ---
@@ -195,16 +180,16 @@ After completing the task, note any important information to remember."""
 │  │ - Claude CLI│     │ - Claude CLI│      │ - Claude CLI│       │
 │  │ - Node.js   │     │ - Node.js   │      │ - Node.js   │       │
 │  │ - memory/   │     │ - memory/   │      │ - memory/   │       │
-│  │ - workspace/│     │ - workspace/│      │ - workspace/│       │
+│  │ - git clone │     │ - git clone │      │ - git clone │       │
 │  │ - HTTP API  │     │ - HTTP API  │      │ - HTTP API  │       │
 │  └─────────────┘     └─────────────┘      └─────────────┘       │
 │         │                    │                    │             │
 │         └────────────────────┼────────────────────┘             │
-│                              │ git clone/push                   │
 │                              ▼                                   │
 │                    ┌─────────────────┐                          │
-│                    │   Gitea Server  │                          │
+│                    │  Shared Volume  │                          │
-│                    │  (external)     │                          │
+│                    │  - /repos/      │                          │
+│                    │  - /projects/   │                          │
 │                    └─────────────────┘                          │
 └─────────────────────────────────────────────────────────────────┘
 ```
@@ -250,12 +235,6 @@ agent-orchestra/
 │       │   ├── events.py        # Event handlers, routing
 │       │   └── formatter.py     # Message formatting
 │       │
-│       ├── queue/
-│       │   ├── __init__.py
-│       │   ├── redis_client.py  # AgentQueue class for message handling
-│       │   ├── publisher.py     # Orchestrator-side message publishing
-│       │   └── consumer.py      # Agent-side message consumption
-│       │
 │       ├── tools/
 │       │   ├── __init__.py
 │       │   ├── server.py        # create_sdk_mcp_server setup
@@ -269,11 +248,11 @@ agent-orchestra/
 │           └── manager.py       # Memory file read/write
 │
 ├── data/                        # Mounted volumes
-│   ├── workspaces/              # Per-agent working directories (each clones from Gitea)
+│   ├── workspaces/              # Per-agent working directories
-│   │   ├── ceo/
 │   │   ├── developer/
 │   │   ├── product_manager/
 │   │   └── tech_lead/
+│   ├── repos/                   # Shared git repository clone
 │   ├── projects/                # Project/task JSON files
 │   │   └── boards.json
 │   └── memory/                  # Agent memory folders
@@ -470,6 +449,7 @@ disallowed_tools:
 permissions:
   filesystem:
     allowed_paths:
+      - "/repos/**"
       - "/workspace/**"
   git:
     can_push_to: []  # Tech lead reviews, doesn't push
@@ -508,7 +488,7 @@ system_prompt: |
   3. Implement the solution with tests
   4. Create a PR and notify tech_lead for review
   
-  Clone repositories from Gitea into /workspace.
+  You have access to the shared repository at /repos/main.
   
   Use the Slack tools to communicate with your team.
   Use the task tools to update your task status.
@@ -541,9 +521,10 @@ disallowed_tools:
 permissions:
   filesystem:
     allowed_paths:
+      - "/repos/**"
       - "/workspace/**"
     denied_paths:
-      - "/workspace/**/.git/config"
+      - "/repos/.git/config"
       - "**/.env"
       - "**/secrets/**"
   
@@ -573,105 +554,6 @@ container:
     - "PYTHONPATH=/workspace"
 ```
 
-### Designer Config (`config/agents/designer.yml`)
-
-```yaml
-id: designer
-name: "Designer Dani"
-slack_user_id: "${SLACK_DESIGNER_USER_ID}"
-
-model: "sonnet"
-max_turns: 50
-
-system_prompt: |
-  You are Designer Dani, responsible for UI/UX design and frontend aesthetics.
-
-  Your responsibilities:
-  - Create and refine UI designs based on requirements
-  - Implement CSS/styling changes
-  - Ensure consistent design system usage
-  - Review frontend PRs for design consistency
-  - Provide design feedback and mockup descriptions
-
-  When working on design tasks:
-  1. Understand the user experience goals
-  2. Reference the existing design system (shadcn/ui, Tailwind)
-  3. Implement pixel-perfect styling
-  4. Ensure responsive design across breakpoints
-  5. Document design decisions in comments
-
-  You work closely with developers on frontend implementation.
-
-allowed_tools:
-  - Read
-  - Write
-  - Edit
-  - Bash
-  - Glob
-  - Grep
-  - WebSearch
-  - WebFetch
-  # Slack tools
-  - mcp__agent__slack_send_message
-  - mcp__agent__slack_reply_thread
-  # Task tools
-  - mcp__agent__tasks_view
-  - mcp__agent__tasks_update_status
-  - mcp__agent__tasks_add_comment
-  # Git tools - can create PRs for design changes
-  - mcp__agent__gitea_create_pr
-  - mcp__agent__gitea_list_prs
-  - mcp__agent__gitea_add_comment
-
-disallowed_tools:
-  - mcp__agent__slack_create_channel
-  - mcp__agent__slack_delete_channel
-  - mcp__agent__tasks_create_project
-  - mcp__agent__tasks_create_board
-  - mcp__agent__gitea_merge_pr
-
-permissions:
-  filesystem:
-    allowed_paths:
-      - "/workspace/**/*.css"
-      - "/workspace/**/*.scss"
-      - "/workspace/**/*.tsx"
-      - "/workspace/**/*.jsx"
-      - "/workspace/**/components/**"
-      - "/workspace/**/styles/**"
-      - "/workspace/**/public/**"
-    denied_paths:
-      - "/workspace/**/.git/config"
-      - "**/.env"
-      - "**/secrets/**"
-      - "/workspace/**/api/**"
-      - "/workspace/**/server/**"
-
-  git:
-    branch_pattern: "design/*"
-    can_push_to:
-      - "design/*"
-    cannot_push_to:
-      - "main"
-      - "dev"
-      - "feature/*"
-
-memory:
-  path: "/memory/designer"
-  files:
-    - "memory.md"
-
-can_mention:
-  - developer
-  - product_manager
-  - tech_lead
-
-container:
-  resources:
-    memory: "2g"
-    cpus: "1.0"
-```
-
 ### Product Manager Config (`config/agents/product_manager.yml`)
 
 ```yaml
@@ -728,6 +610,7 @@ disallowed_tools:
 permissions:
   filesystem:
     allowed_paths:
+      - "/repos/**"
       - "/workspace/**"
       - "/projects/**"
   
@@ -786,29 +669,32 @@ The agent exposes an HTTP API for the orchestrator to send messages.
 """
 Agent service running inside container:
 - Exposes HTTP API for receiving messages from orchestrator
-- Uses query() with explicit memory injection (stateless)
+- Uses ClaudeSDKClient for persistent conversation
 - Custom tools via SDK MCP servers (in-process)
 - Tools operate directly on container filesystem
-- Memory persisted to files, injected into each query
+- Memory management local to container
 """
 from claude_agent_sdk import (
-    query,
+    ClaudeSDKClient, 
     ClaudeAgentOptions,
     tool,
     create_sdk_mcp_server,
+    AssistantMessage,
+    TextBlock,
+    ToolUseBlock,
     HookMatcher
 )
 
 class AgentService:
-    """HTTP service that uses stateless query() with memory injection."""
+    """HTTP service that wraps the Claude SDK client."""
     id: str
     config: AgentConfig
-    options: ClaudeAgentOptions  # Reused for each query
+    client: ClaudeSDKClient  # Persistent session
     memory: MemoryManager
     app: FastAPI  # HTTP server for orchestrator communication
 
     async def start(self) -> None:
-        """Initialize SDK options and start HTTP server."""
+        """Initialize SDK client and start HTTP server."""
         # Create in-process MCP server for custom tools
         tools_server = create_sdk_mcp_server(
             name=f"{self.id}-tools",
@@ -816,7 +702,7 @@ class AgentService:
             tools=self._build_tools()
         )
 
-        self.options = ClaudeAgentOptions(
+        options = ClaudeAgentOptions(
             system_prompt=self.config.system_prompt,
             model=self.config.model,  # e.g., "sonnet", "opus"
             allowed_tools=self.config.allowed_tools,
@@ -835,6 +721,9 @@ class AgentService:
             hooks=self._build_hooks()
         )
 
+        self.client = ClaudeSDKClient(options)
+        await self.client.connect()
+
         # Start HTTP server for orchestrator
         await self._start_http_server()
 
@@ -852,50 +741,21 @@ class AgentService:
             return {"status": "ok", "agent_id": self.id}
 
     async def process_message(self, message: str, context: dict) -> str:
-        """
+        """Send message and collect response. Client maintains conversation history."""
-        Stateless query with memory injection.
+        await self.client.query(message)
 
-        Flow:
+        response_text = ""
-        1. Load memory from file
+        async for msg in self.client.receive_response():
-        2. Construct prompt with memory + message
+            if isinstance(msg, AssistantMessage):
-        3. Execute query()
+                for block in msg.content:
-        4. Update memory file with new learnings
+                    if isinstance(block, TextBlock):
-        5. Return response
+                        response_text += block.text
-        """
-        # Load current memory state
-        memory_content = await self.memory.load()
 
-        # Construct prompt with injected memory
+        return response_text
-        prompt = self._build_prompt(message, memory_content, context)
-
-        # Stateless query - no session maintained
-        response = await query(prompt, options=self.options)
-
-        # Extract and persist any memory updates
-        await self.memory.update_from_response(response)
-
-        return self._extract_response_text(response)
-
-    def _build_prompt(self, message: str, memory: str, context: dict) -> str:
-        """Construct prompt with memory context."""
-        thread_context = ""
-        if context.get("thread_messages"):
-            thread_context = "\n## Recent Thread Context\n"
-            for msg in context["thread_messages"][-5:]:  # Last 5 messages
-                thread_context += f"- {msg['author']}: {msg['text']}\n"
-
-        return f"""## Your Memory
-{memory}
-{thread_context}
-## Current Message
-{message}
-
-Complete this task. If you learn anything important (team preferences, project
-details, decisions made), update your memory file at /memory/memory.md."""
 
     async def stop(self) -> None:
-        """Stop HTTP server."""
+        """Disconnect the client and stop HTTP server."""
-        pass  # No client to disconnect with stateless query()
+        await self.client.disconnect()
     
     def _build_tools(self) -> list:
         """Build custom tools based on agent config permissions."""
@@ -1213,164 +1073,6 @@ class GiteaClient:
 
 ---
 
-## Message Queue Architecture (Redis)
-
-Redis provides reliable message queuing between the orchestrator and agent containers, ensuring messages aren't lost if an agent is temporarily unavailable.
-
-### Queue Structure
-
-```
-Redis Keys:
-├── queue:agent:{agent_id}:inbox     # Messages waiting to be processed
-├── queue:agent:{agent_id}:processing # Currently being processed (for reliability)
-├── queue:agent:{agent_id}:outbox    # Responses ready for orchestrator
-├── agent:{agent_id}:status          # Agent health status (heartbeat)
-└── agent:{agent_id}:current_task    # Current task ID (for recovery)
-```
-
-### Message Flow with Redis
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                         Orchestrator                              │
-│  ┌─────────────┐    ┌─────────────┐    ┌─────────────────────┐  │
-│  │ Slack       │───▶│  Router     │───▶│  Redis Publisher    │  │
-│  │ Listener    │    │             │    │  (LPUSH to inbox)   │  │
-│  └─────────────┘    └─────────────┘    └─────────────────────┘  │
-│                                                  │               │
-│  ┌─────────────────────────────────┐             │               │
-│  │  Response Handler               │◀────────────┘               │
-│  │  (BRPOP from outbox queues)     │                             │
-│  └─────────────────────────────────┘                             │
-└─────────────────────────────────────────────────────────────────┘
-                              │
-                              │ Redis
-                              ▼
-┌─────────────────────────────────────────────────────────────────┐
-│                      Agent Container                              │
-│  ┌─────────────────────────────────┐                             │
-│  │  Message Consumer               │                             │
-│  │  (BRPOPLPUSH inbox→processing)  │                             │
-│  └───────────────┬─────────────────┘                             │
-│                  │                                                │
-│                  ▼                                                │
-│  ┌─────────────────────────────────┐                             │
-│  │  Claude SDK query()             │                             │
-│  │  - Inject memory                │                             │
-│  │  - Execute tools                │                             │
-│  │  - Update memory                │                             │
-│  └───────────────┬─────────────────┘                             │
-│                  │                                                │
-│                  ▼                                                │
-│  ┌─────────────────────────────────┐                             │
-│  │  Response Publisher             │                             │
-│  │  (LPUSH to outbox, DEL from     │                             │
-│  │   processing)                   │                             │
-│  └─────────────────────────────────┘                             │
-└─────────────────────────────────────────────────────────────────┘
-```
-
-### Reliability Features
-
-1. **At-least-once delivery**: Using `BRPOPLPUSH` moves message to processing queue atomically
-2. **Recovery on crash**: On startup, agents check processing queue for incomplete tasks
-3. **Heartbeat monitoring**: Agents publish heartbeat to `agent:{id}:status` every 10s
-4. **Dead letter queue**: Messages that fail 3 times move to `queue:dead_letter`
-
-### Message Format
-
-```python
-# Inbox message (orchestrator → agent)
-{
-    "id": "msg-uuid-123",
-    "timestamp": "2025-01-15T10:00:00Z",
-    "type": "slack_message",
-    "payload": {
-        "text": "@developer please implement the login feature",
-        "channel": "proj-website",
-        "thread_ts": "1234567890.123456",
-        "user": "U123456",  # Slack user who sent it
-        "context": {
-            "thread_messages": [...],  # Recent thread history
-            "mentioned_agents": ["developer"]
-        }
-    },
-    "reply_to": "queue:orchestrator:responses",
-    "retry_count": 0
-}
-
-# Outbox message (agent → orchestrator)
-{
-    "id": "resp-uuid-456",
-    "request_id": "msg-uuid-123",
-    "timestamp": "2025-01-15T10:00:05Z",
-    "agent_id": "developer",
-    "payload": {
-        "text": "I'll start working on the login feature...",
-        "channel": "proj-website",
-        "thread_ts": "1234567890.123456",
-        "mentions": ["tech_lead"]  # Agents to notify
-    }
-}
-```
-
-### Redis Client Implementation
-
-```python
-"""
-src/orchestra/queue/redis_client.py
-"""
-import redis.asyncio as redis
-from typing import Optional
-import json
-
-class AgentQueue:
-    def __init__(self, agent_id: str, redis_url: str = "redis://localhost:6379"):
-        self.agent_id = agent_id
-        self.redis = redis.from_url(redis_url)
-        self.inbox = f"queue:agent:{agent_id}:inbox"
-        self.processing = f"queue:agent:{agent_id}:processing"
-        self.outbox = f"queue:agent:{agent_id}:outbox"
-
-    async def receive(self, timeout: int = 0) -> Optional[dict]:
-        """Block until message available, move to processing atomically."""
-        result = await self.redis.brpoplpush(
-            self.inbox, self.processing, timeout=timeout
-        )
-        if result:
-            return json.loads(result)
-        return None
-
-    async def complete(self, message_id: str, response: dict) -> None:
-        """Mark message complete and publish response."""
-        pipe = self.redis.pipeline()
-        # Remove from processing
-        pipe.lrem(self.processing, 1, message_id)
-        # Publish response
-        pipe.lpush(self.outbox, json.dumps(response))
-        await pipe.execute()
-
-    async def recover_incomplete(self) -> list[dict]:
-        """On startup, recover any messages left in processing."""
-        messages = []
-        while True:
-            msg = await self.redis.rpoplpush(self.processing, self.inbox)
-            if not msg:
-                break
-            messages.append(json.loads(msg))
-        return messages
-
-    async def heartbeat(self) -> None:
-        """Update agent status."""
-        await self.redis.set(
-            f"agent:{self.agent_id}:status",
-            json.dumps({"status": "healthy", "timestamp": datetime.utcnow().isoformat()}),
-            ex=30  # Expire after 30s if no heartbeat
-        )
-```
-
----
-
 ## Slack Integration
 
 ### Event Flow
@@ -1390,17 +1092,12 @@ Slack Event (message/mention)
          │
          ▼
 ┌─────────────────┐
-│  Redis Queue    │  ← LPUSH to agent inbox (reliable delivery)
+│  Agent Queue    │  ← Each agent has async message queue
 └────────┬────────┘
          │
          ▼
 ┌─────────────────┐
-│  Agent Process  │  ← BRPOPLPUSH, Claude SDK processes
+│  Agent Process  │  ← Claude SDK processes, may invoke tools
-└────────┬────────┘
-         │
-         ▼
-┌─────────────────┐
-│  Redis Response │  ← LPUSH to outbox
 └────────┬────────┘
          │
          ▼
@@ -1426,30 +1123,6 @@ Agents post messages with a consistent format:
 
 ## Memory System
 
-The memory system provides persistent context across stateless `query()` calls.
-Each query injects relevant memory, and agents update their memory file after completing tasks.
-
-### Memory Flow
-
-```
-┌──────────────────────────────────────────────────────────────┐
-│                     Each query() call                         │
-├──────────────────────────────────────────────────────────────┤
-│  1. Load memory.md                                           │
-│  2. Construct prompt:                                        │
-│     ┌────────────────────────────────────────────────────┐   │
-│     │ ## Your Memory                                      │   │
-│     │ {contents of memory.md}                             │   │
-│     │                                                     │   │
-│     │ ## Current Task                                     │   │
-│     │ {slack message / task description}                  │   │
-│     └────────────────────────────────────────────────────┘   │
-│  3. Execute query() - agent has Read/Write tools             │
-│  4. Agent updates /memory/memory.md if needed (via Write)    │
-│  5. Return response                                          │
-└──────────────────────────────────────────────────────────────┘
-```
-
 ### Structure
 
 ```
@@ -1495,54 +1168,6 @@ Each query injects relevant memory, and agents update their memory file after co
 - Using Next.js App Router (agreed with Terry)
 ```
 
-### Memory Manager (`src/orchestra/memory/manager.py`)
-
-```python
-"""
-Memory manager for loading and updating agent memory files.
-Agents update their own memory via the Write tool during query execution.
-"""
-
-class MemoryManager:
-    def __init__(self, agent_id: str, memory_path: str = "/memory"):
-        self.agent_id = agent_id
-        self.memory_file = f"{memory_path}/memory.md"
-
-    async def load(self) -> str:
-        """Load memory content for injection into query prompt."""
-        try:
-            with open(self.memory_file, "r") as f:
-                return f.read()
-        except FileNotFoundError:
-            # Initialize empty memory structure
-            return self._initial_memory()
-
-    def _initial_memory(self) -> str:
-        """Create initial memory structure for new agent."""
-        return f"""# Agent Memory - {self.agent_id}
-
-## Active Context
-- No active tasks
-
-## Project Knowledge
-(none yet)
-
-## Team Preferences
-(none yet)
-
-## Learnings
-(none yet)
-"""
-
-    async def update_from_response(self, response: str) -> None:
-        """
-        Optional: Parse response for explicit memory updates.
-        In practice, agents use the Write tool to update memory.md directly.
-        This method can be used for automated memory extraction if needed.
-        """
-        pass  # Agents self-manage memory via Write tool
-```
-
 ---
 
 ## Implementation Phases
@@ -1613,22 +1238,6 @@ class MemoryManager:
 version: '3.8'
 
 services:
-  # Redis for reliable message queuing between orchestrator and agents
-  redis:
-    image: redis:7-alpine
-    command: redis-server --appendonly yes
-    volumes:
-      - redis-data:/data
-    networks:
-      - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "redis-cli", "ping"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-      start_period: 10s
-
   orchestrator:
     build:
       context: .
@@ -1636,31 +1245,15 @@ services:
     environment:
       - SLACK_APP_TOKEN=${SLACK_APP_TOKEN}
       - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN}
-      - REDIS_URL=redis://redis:6379
     volumes:
       - ./config:/app/config:ro
     networks:
       - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 30s
     depends_on:
-      redis:
+      - agent-ceo
-        condition: service_healthy
+      - agent-pm
-      agent-ceo:
+      - agent-dev
-        condition: service_healthy
+      - agent-techlead
-      agent-pm:
-        condition: service_healthy
-      agent-dev:
-        condition: service_healthy
-      agent-techlead:
-        condition: service_healthy
-      agent-designer:
-        condition: service_healthy
 
   # Full agent containers (SDK, Node.js, CLI)
   agent-ceo:
@@ -1673,26 +1266,16 @@ services:
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
       - GITEA_URL=${GITEA_URL}
       - GITEA_API_TOKEN=${GITEA_API_TOKEN}
-      - REDIS_URL=redis://redis:6379
     volumes:
       - ./config/agents/ceo.yml:/app/config/agent.yml:ro
       - ./data/workspaces/ceo:/workspace
+      - ./data/repos:/repos
       - ./data/memory/ceo:/memory
       - ./data/projects:/projects
     ports:
       - "8001:8001"
     networks:
       - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8001/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 60s
-    depends_on:
-      redis:
-        condition: service_healthy
 
   agent-pm:
     build:
@@ -1704,26 +1287,16 @@ services:
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
       - GITEA_URL=${GITEA_URL}
       - GITEA_API_TOKEN=${GITEA_API_TOKEN}
-      - REDIS_URL=redis://redis:6379
     volumes:
       - ./config/agents/product_manager.yml:/app/config/agent.yml:ro
       - ./data/workspaces/product_manager:/workspace
+      - ./data/repos:/repos
       - ./data/memory/product_manager:/memory
       - ./data/projects:/projects
     ports:
       - "8002:8002"
     networks:
       - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8002/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 60s
-    depends_on:
-      redis:
-        condition: service_healthy
 
   agent-dev:
     build:
@@ -1735,25 +1308,15 @@ services:
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
       - GITEA_URL=${GITEA_URL}
       - GITEA_API_TOKEN=${GITEA_API_TOKEN}
-      - REDIS_URL=redis://redis:6379
     volumes:
       - ./config/agents/developer.yml:/app/config/agent.yml:ro
       - ./data/workspaces/developer:/workspace
+      - ./data/repos:/repos
       - ./data/memory/developer:/memory
     ports:
       - "8003:8003"
     networks:
       - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8003/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 60s
-    depends_on:
-      redis:
-        condition: service_healthy
 
   agent-techlead:
     build:
@@ -1765,59 +1328,18 @@ services:
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
       - GITEA_URL=${GITEA_URL}
       - GITEA_API_TOKEN=${GITEA_API_TOKEN}
-      - REDIS_URL=redis://redis:6379
     volumes:
       - ./config/agents/tech_lead.yml:/app/config/agent.yml:ro
       - ./data/workspaces/tech_lead:/workspace
+      - ./data/repos:/repos:ro  # Read-only for tech lead
       - ./data/memory/tech_lead:/memory
     ports:
       - "8004:8004"
     networks:
       - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8004/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 60s
-    depends_on:
-      redis:
-        condition: service_healthy
-
-  agent-designer:
-    build:
-      context: .
-      dockerfile: Dockerfile.agent
-    environment:
-      - AGENT_ID=designer
-      - AGENT_PORT=8005
-      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
-      - GITEA_URL=${GITEA_URL}
-      - GITEA_API_TOKEN=${GITEA_API_TOKEN}
-      - REDIS_URL=redis://redis:6379
-    volumes:
-      - ./config/agents/designer.yml:/app/config/agent.yml:ro
-      - ./data/workspaces/designer:/workspace
-      - ./data/memory/designer:/memory
-    ports:
-      - "8005:8005"
-    networks:
-      - orchestra-net
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8005/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 60s
-    depends_on:
-      redis:
-        condition: service_healthy
 
 volumes:
   orchestra-data:
-  redis-data:
 
 networks:
   orchestra-net:
@@ -1872,7 +1394,7 @@ COPY src/orchestra/agent/ ./src/orchestra/agent/
 COPY src/orchestra/tools/ ./src/orchestra/tools/
 
 # Create workspace structure
-RUN mkdir -p /workspace /memory
+RUN mkdir -p /workspace /repos /memory
 
 # Expose HTTP API port
 EXPOSE 8001
@@ -1903,7 +1425,6 @@ dependencies = [
     "anyio>=4.0.0",
     "fastapi>=0.109.0",            # HTTP API for agent containers
     "uvicorn>=0.27.0",             # ASGI server for FastAPI
-    "redis>=5.0.0",                # Async Redis client for message queuing
 ]
 
 [project.optional-dependencies]
@@ -1912,7 +1433,6 @@ dev = [
     "pytest-asyncio>=0.23.0",
     "pytest-mock>=3.12.0",
     "ruff>=0.1.0",
-    "fakeredis>=2.20.0",           # Redis mock for testing
 ]
 ```