mirror of
https://github.com/furyhawk/deepresearch.git
synced 2026-07-21 02:06:48 +00:00
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.
1 line
1.6 KiB
JSON
1 line
1.6 KiB
JSON
{"session_id": "763605a6-5162-4912-b66a-a4e32cb16cd2", "created_at": "2026-06-19T02:22:18.746464+00:00", "updated_at": "2026-06-19T02:24:51.419506+00:00", "title": "research on architect agentic ai solution.", "message_count": 24, "todos": [{"active_form": "Planning research on architecting agentic AI solutions", "content": "Create a detailed research plan for architecting agentic AI solutions", "status": "in_progress"}, {"active_form": "Researching multi-agent orchestration patterns", "content": "Research multi-agent orchestration patterns (e.g., Router, Sequential, Hierarchical, Joint-Collaboration)", "status": "pending"}, {"active_form": "Researching memory architectures", "content": "Research memory architectures for agents (short-term vs long-term, RAG vs fine-tuning vs context window management)", "status": "pending"}, {"active_form": "Researching tool use and planning strategies", "content": "Research advanced planning techniques (CoT, Tree of Thoughts, ReAct) and tool-calling mechanisms", "status": "pending"}, {"active_form": "Researching evaluation frameworks", "content": "Research evaluation frameworks for agentic systems (benchmarks, human-in-the-loop, automated testing)", "status": "pending"}, {"active_form": "Researching real-world deployment and production challenges", "content": "Research production challenges including latency, cost management, reliability, and security in agentic workflows", "status": "pending"}, {"active_form": "Synthesizing findings into a final report", "content": "Synthesize all research notes into a comprehensive architectural guide in /workspace/report.md", "status": "pending"}]} |