Agent Workflows · CrewAI

Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.

mem0ai/mem0

Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming +…

TencentCloudBase/CloudBase-AI-Toolkit

Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows.

yonatangross/orchestkit

Expert in designing and building autonomous AI agents. An agent skill from omer-metin/skills-for-antigravity.

omer-metin/skills-for-antigravity

Cross-framework enhancement overlay for choosing a multi-agent topology BEFORE writing any agent.

agentsope/SkillAlchemy

Decision protocol for managing the context/session state of an AI coding tool: when to /clear, when to keep context, and how to detect "context bleed" — the failure mode where stale conversation…

agentsope/SkillAlchemy

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

aiskillstore/marketplace

Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com.

neo4j-contrib/neo4j-skills