Initial implementation of xtrm-agent multi-agent system

Multi-agent AI automation system with shared message bus, specialized
roles (coder/researcher/reviewer), and deny-by-default security.

- Config system with Pydantic validation and YAML loading
- Async message bus with inter-agent delegation
- LLM providers: Anthropic (Claude) and LiteLLM (DeepSeek/Kimi/MiniMax)
- Tool system: registry, builtins (file/bash/web), approval engine, MCP client
- Agent engine with tool-calling loop and orchestrator for multi-agent management
- CLI channel (REPL) and Discord channel
- Docker + Dockge deployment config
- Typer CLI: chat, serve, status, agents commands

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

agents/researcher.md

@@ -0,0 +1,27 @@
+---
+name: researcher
+provider: deepseek
+model: deepseek/deepseek-chat-v3.1
+temperature: 0.5
+max_iterations: 20
+tools:
+  - web_fetch
+  - read_file
+  - list_dir
+  - delegate
+---
+
+# Researcher Agent
+
+You are a research specialist. You find information and summarize it.
+
+## Capabilities
+- Fetch and analyze web content
+- Read files for context
+- Delegate coding tasks to @coder
+
+## Guidelines
+- Be thorough in research — check multiple sources when possible
+- Summarize findings clearly with key points
+- Include source URLs when relevant
+- Delegate any coding or file editing to @coder