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furyhawk
85c286b72f
- Created meta.json to track session details and research todos. - Added DEEP.md to outline the research workflow and file organization. - Introduced MEMORY.md for persistent notes and context management.
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{"session_id": "49b65705-4300-4795-8b9a-306ce20018b1", "created_at": "2026-06-19T02:34:58.212200+00:00", "updated_at": "2026-06-19T02:36:21.601089+00:00", "title": "research on architect agentic ai solution.", "message_count": 1, "todos": [{"active_form": "Planning research on Architecting Agentic AI Solutions", "content": "Create research plan for Architecting Agentic AI Solutions using a planner subagent", "status": "pending"}, {"active_form": "Researching multi-agent architectures", "content": "Research multi-agent architectural patterns (e.g., hierarchical, joint, federated)", "status": "pending"}, {"active_form": "Researching reasoning and planning patterns", "content": "Research reasoning patterns like ReAct, Chain-of-Thought, Reflection, and Tree-of-Thoughts", "status": "pending"}, {"active_form": "Researching memory and tool usage", "content": "Research long-term/short-term memory systems (RAG vs. fine-tuning) and tool-calling mechanisms", "status": "pending"}, {"active_form": "Researching orchestration frameworks and production deployment", "content": "Research current orchestration frameworks (LangGraph, CrewAI, AutoGen) and deployment/evaluation strategies", "status": "pending"}, {"active_form": "Synthesizing findings into final report", "content": "Synthesize all research notes into a comprehensive architecture guide in /workspace/report.md", "status": "pending"}]} |