3.1: Create AgentConfig dataclass and multi-agent config

New AgentConfig dataclass in config.py with fields:
- name, display_name, personality_file, model
- tools (whitelist), skills (filter), memory_scope

Loaded from config.yaml under agents: key. Defaults to single
agent for backward compatibility when section is omitted.

config.yaml now includes 4 agent configs: default, writer,
researcher, ops — each with appropriate tool/skill whitelists.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

cheddahbot/config.py

@@ -66,6 +66,19 @@ class EmailConfig:
     enabled: bool = False
 
 
+@dataclass
+class AgentConfig:
+    """Per-agent configuration for multi-agent support."""
+
+    name: str = "default"
+    display_name: str = "CheddahBot"
+    personality_file: str = ""  # path to SOUL-like .md file, empty = default
+    model: str = ""  # model override, empty = use global chat_model
+    tools: list[str] | None = None  # tool name whitelist, None = all
+    skills: list[str] | None = None  # skill name filter, None = auto
+    memory_scope: str = ""  # memory namespace, empty = shared
+
+
 @dataclass
 class Config:
     chat_model: str = "openai/gpt-4o-mini"
@@ -81,6 +94,7 @@ class Config:
     clickup: ClickUpConfig = field(default_factory=ClickUpConfig)
     press_advantage: PressAdvantageConfig = field(default_factory=PressAdvantageConfig)
     email: EmailConfig = field(default_factory=EmailConfig)
+    agents: list[AgentConfig] = field(default_factory=lambda: [AgentConfig()])
 
     # Derived paths
     root_dir: Path = field(default_factory=lambda: ROOT_DIR)
@@ -128,6 +142,20 @@ def load_config() -> Config:
                 if hasattr(cfg.email, k):
                     setattr(cfg.email, k, v)
 
+        # Multi-agent configs
+        if "agents" in data and isinstance(data["agents"], list):
+            cfg.agents = []
+            for agent_data in data["agents"]:
+                if isinstance(agent_data, dict):
+                    ac = AgentConfig()
+                    for k, v in agent_data.items():
+                        if hasattr(ac, k):
+                            setattr(ac, k, v)
+                    cfg.agents.append(ac)
+            # Ensure at least one agent
+            if not cfg.agents:
+                cfg.agents = [AgentConfig()]
+
     # Env var overrides (CHEDDAH_ prefix)
     cfg.openrouter_api_key = os.getenv("OPENROUTER_API_KEY", "")
     if cm := os.getenv("CHEDDAH_CHAT_MODEL"):

config.yaml

@@ -56,3 +56,32 @@ clickup:
         company_name: "Client"
         target_url: "IMSURL"
         branded_url: "SocialURL"
+
+# Multi-agent configuration
+# Each agent gets its own personality, tool whitelist, and memory scope.
+# The first agent is the default. Omit this section for single-agent mode.
+agents:
+  - name: default
+    display_name: CheddahBot
+    # tools: null = all tools, [] = no tools
+    # skills: null = auto (all skills matching agent name)
+    # memory_scope: "" = shared memory
+
+  - name: writer
+    display_name: Writing Agent
+    personality_file: ""          # future: identity/WRITER.md
+    skills: [press-release-writer, press-release-schema]
+    tools: [write_press_releases, submit_press_release, delegate_task, remember, search_memory]
+    memory_scope: ""              # shares memory with default
+
+  - name: researcher
+    display_name: Research Agent
+    personality_file: ""          # future: identity/RESEARCHER.md
+    tools: [web_search, web_fetch, delegate_task, remember, search_memory]
+    memory_scope: ""
+
+  - name: ops
+    display_name: Ops Agent
+    personality_file: ""          # future: identity/OPS.md
+    tools: [run_command, delegate_task, list_files, read_file, remember, search_memory]
+    memory_scope: ""