mem0ai/mem0
The Memory Layer for AI Agents. Personalizes agent workflows by maintaining continuous semantic context profiles over time.
The Memory Layer for AI Agents. Personalizes agent workflows by maintaining continuous semantic context profiles over time.
npx skills add mem0ai/mem0The Memory Layer for AI Agents. Personalizes agent workflows by maintaining continuous semantic context profiles over time.
This repo contains 1 individual skill — each has its own dedicated page.
AI agent dispatch platform — Slack conversations → CLI agents (claude/codex/opencode) → structured GitHub Issues. Priority queue, multi-worker, dynamic skill loading.
Automate software evolution workflows and manage repository lifecycle tasks through a centralized platform.
AI-powered earnings calendar tracker for US, HK, and CN markets with sector filtering
Structured code review using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline. In interactive mode it applies safe, verified fixes and commits them when the working tree is clean (it never pushes); in mode:agent it reports only and the caller applies. Use when reviewing code changes before creating a PR.
Control mouse, keyboard, and screen for desktop automation tasks
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.