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Read Hivemind Skills, Enriched: Turn Session Lessons into Full Playbooks with ScrapeGraphAIHivemind Skills, Enriched: Turn Session Lessons into Full Playbooks with ScrapeGraphAI
June 10, 202613 min read

Hivemind Skills, Enriched: Turn Session Lessons into Full Playbooks with ScrapeGraphAI

Hivemind turns agent sessions into tight, reusable skills. Together with ScrapeGraphAI, we built a Claude skill that enriches those files with live web research in a single call. In one example, a 44-line Hivemind skill stays intact as the core while ScrapeGraphAI expands it to 263 lines, with every new section traceable to a real source.

Emanuele Fenocchi, Vikrant Khedkar, Marco Vinciguerra
HivemindActiveloopScrapeGraphAIClaude SkillsAI Agents
Read A Deployable Annotation Service for Robotics DatasetsA Deployable Annotation Service for Robotics Datasets
May 30, 20266 min read

A Deployable Annotation Service for Robotics Datasets

Roboscribe-AF is an open-source example that runs multi-agent robotics annotation with AgentField and stores the resulting multimodal dataset branches in Deeplake. Raw and derived annotation fields share one schema across versioned branches, so disagreements between the visual and action reasoners become queryable dataset fields.

Santosh Radha
AgentFieldDeeplakeRoboticsPhysical AIMultimodal Data