crewai

Nir Diamant's genai_agents repository on GitHub, which has surpassed 22k stars, offers over 50 tutorials covering AI agent patterns from beginner to advanced, including conversational, multi-agent, RAG, and business agents built with frameworks like LangGraph, LangChain, AutoGen, CrewAI, and OpenAI Swarm.

Fact0 is a tool for tamper-evident audit trails and execution replay for AI agents, integrating with LangChain, CrewAI, and LlamaIndex. It provides cryptographic verification, execution DAG visualization, and searchable logs.

A tool for visualizing AI agent workflows is introduced, supporting multiple agent frameworks including Langgraph, CrewAI, AutoGen, Google ADK, and OpenAI Agents SDK. The creator seeks community feedback and corrections.

A community discussion asking practitioners which AI agent orchestration framework—LangGraph, CrewAI, AutoGen, or OpenAI Agents—is most production-ready and scales well in real deployments.

AgentLantern is an open-source devtool for AI agent projects that helps document, analyze, validate, and visualize agent workflows, with initial support for CrewAI and plans to extend to other frameworks.

This article describes a multi-agent architecture running at scale, using LangGraph, CrewAI, and Harbor to handle goal agents, task coordination, and secure access with tracing.

A premium prompt pack for multi-agent systems that prevents agents from forgetting, duplicating work, or contradicting each other, including memory prompts, handoff templates, and workflow recipes.

Vorim AI is an open-protocol identity and audit layer for AI agents, providing cryptographic identities, scoped permissions, tamper-evident audit chains, and one-command revocation across frameworks like LangChain, CrewAI, and OpenAI SDK.

An open-source tool designed to detect silent coordination failures in agent systems, such as infinite loops and traffic spikes, with future plans for FinOps features to track costs and prevent budget overruns.

A developer discusses limitations in current AI agent memory systems and proposes a new memory layer tool with episode storage and replay debugging, seeking community validation.

A developer shares real-world experiences with AI orchestration frameworks (LangGraph, CrewAI, AutoGen), noting trade-offs between ease of prototyping and production reliability, and asks the community about handling failures, human-in-the-loop, and token costs.

CrewAI released a checkpointing feature for its open-source multi-agent framework, allowing AI workflows to be saved, resumed, forked, and inspected rather than restarting from scratch on failure.