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Automated research — source processing, podcast generation, and knowledge extraction
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Based on SOC occupation classification
Content routing — archive to server, search archived content
WhatsApp integration — WAHA gateway, message import, and CRM sync
Getting Things Done — task capture, inbox processing, and org-mode management
Search archived content on remote server without local clone
Generate NotebookLM podcast from URLs or content
Check research queue counts, recent podcasts, knowledge base growth, and Readwise items
| name | Research for Datacore |
| description | Automated research — source processing, podcast generation, and knowledge extraction |
| version | 0.2.0 |
| author | datacore-one |
| license | MIT |
| tags | ["research","podcasts","readwise","knowledge-extraction","notebooklm"] |
| x-datacore | {"module":"research","tools":2,"skills":2,"agents":2,"commands":1,"workflows":0,"engram_count":0,"injection_policy":"on_match","match_terms":["research","podcast","readwise","sources","literature","zettel","notebooklm"]} |
Automated research processing — curate links, generate NotebookLM podcasts, extract knowledge artifacts, and build industry landscapes.
Tagline: "Curate links. Wake up to podcasts and insights."
Tools (MCP):
datacore.research.queue — List pending research links and processing statusdatacore.research.sources — Manage and query research source registrySkills:
Agents:
research-orchestrator — Full pipeline orchestration (DIP-0021)podcast-creator — NotebookLM podcast generationCommands:
/research-daily — Manually trigger daily research processingTriggers: research, podcast, readwise, sources, literature, zettel, notebooklm.