The best GenAI-Showcase alternatives

GenAI_Agents

NirDiamant/GenAI_Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Choose GenAI_Agents if…

• you want the more widely starred option (24.8k)
• you specifically need agentic-ai or ai

Shares agents, generative-ai, llms, python with GenAI-Showcase.

agents-towards-production

NirDiamant/agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Choose agents-towards-production if…

• you want the more widely starred option (21.8k)
• you specifically need agent or agent-framework

Shares agents, generative-ai, llms, python with GenAI-Showcase.

Hands-On-AI-Engineering

Sumanth077/Hands-On-AI-Engineering

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Choose Hands-On-AI-Engineering if…

• you would rather work in Python than Jupyter Notebook
• you specifically need ai or ai-agents

Shares agents, generative-ai, llms, python with GenAI-Showcase.

langchain

langchain-ai/langchain

The agent engineering platform.

Choose langchain if…

• you would rather work in Python than Jupyter Notebook
• you want the more widely starred option (148.9k)
• you specifically need ai or ai-agents

Shares agents, generative-ai, python, rag with GenAI-Showcase.

langgraph

langchain-ai/langgraph

Build resilient agents.

Choose langgraph if…

• you would rather work in Python than Jupyter Notebook
• you want the more widely starred option (44.4k)
• you specifically need ai or ai-agents

Shares agents, generative-ai, python, rag with GenAI-Showcase.

LazyLLM

LazyAGI/LazyLLM

Easiest and laziest way for building multi-agent LLMs applications.

Choose LazyLLM if…

• you would rather work in Python than Jupyter Notebook
• Apache License 2.0 suits your use better than MIT License
• you specifically need ai-agent or data

Shares agents, llms, rag with GenAI-Showcase.

haystack

deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Choose haystack if…

• you would rather work in Python than Jupyter Notebook
• Apache License 2.0 suits your use better than MIT License
• you want the more widely starred option (26.9k)
• you specifically need agent-framework or agentic-ai

Shares agents, generative-ai, python, rag with GenAI-Showcase.

Guardrails

NVIDIA-NeMo/Guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Choose Guardrails if…

• you would rather work in Python than Jupyter Notebook
• you want the more widely starred option (7.4k)
• you specifically need guardrails or llm-safety

Shares agents, generative-ai, llms, python with GenAI-Showcase.

potpie

potpie-ai/potpie

Context Graph for AI Native SDLC

Choose potpie if…

• you would rather work in Python than Jupyter Notebook
• Apache License 2.0 suits your use better than MIT License
• you specifically need ai-agents or ai-agents-framework

Shares agents, artificial-intelligence, generative-ai, rag with GenAI-Showcase.

oracle-ai-developer-hub

oracle-devrel/oracle-ai-developer-hub

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

Choose oracle-ai-developer-hub if…

• you specifically need agentmemory or ai

Shares agents, artificial-intelligence, generative-ai, rag with GenAI-Showcase.

sim

simstudioai/sim

Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.

Choose sim if…

• you would rather work in TypeScript than Jupyter Notebook
• Apache License 2.0 suits your use better than MIT License
• you want the more widely starred option (30.0k)
• you specifically need agent-workflow or agentic-workflow

Shares agents, artificial-intelligence, rag with GenAI-Showcase.

mem0

mem0ai/mem0

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Choose mem0 if…

• you would rather work in Python than Jupyter Notebook
• Apache License 2.0 suits your use better than MIT License
• you want the more widely starred option (68.3k)
• you specifically need agentic-memory or agentic-memory-system

Shares agents, python, rag with GenAI-Showcase.