supermemory
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
530 skills found
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Stateful, multi-session workflow manager that uses Work Logs to persist context, enable checkpoints, and manage iterative progress across long-running tasks.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Generate spectrograms and advanced audio feature visualizations directly from your terminal with this audio analysis CLI.
CLI tool to bundle repository context, files, and prompts into a one-shot request for advanced AI debugging, refactoring, and code review.
Create structured specifications for platform changes including GitHub issues, SDD templates, and automated type inference for infrastructure and security.
Orchestrate complex multi-agent swarms with topologies like mesh, hierarchical, and star for research, development, and testing workflows.
A toolkit for developing and bundling complex, multi-component React/TypeScript web artifacts using Vite, Tailwind CSS, and shadcn/ui.
Manage Navigator task documentation: create implementation plans, archive completed features, and maintain the task index for Claude Code workflows.
Generate structured configuration files and formatted output by injecting user data into pre-defined project templates.
Persistent task memory and workflow synchronization for Claude Code using Beads, enabling multi-session project management and context preservation.
Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.