If you're running Claude in a team or org context, this gives every agent instance access to a shared memory layer backed by Activeloop's Deep Lake. It indexes session logs into searchable summaries at ~/.deeplake/memory/, so when you ask Claude to recall something, it checks both its local project memory and the global Hivemind store. The standout feature is "skillify", which mines reusable skills from session logs and lets you pull them into new projects with filters by author or team. There's optional semantic search via embeddings (needs a 600MB download) and org management commands for invites and workspace switching. It's bash-only for filesystem ops, which keeps things simple but means no Python scripts in the memory layer.
npx -y skills add activeloopai/hivemind --skill hivemind-memory --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills