378d599125
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>
586 B
586 B
name, provider, model, temperature, max_iterations, tools
| name | provider | model | temperature | max_iterations | tools | ||||
|---|---|---|---|---|---|---|---|---|---|
| researcher | deepseek | deepseek/deepseek-chat-v3.1 | 0.5 | 20 |
|
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