Ax alternatives for AI agents.

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

A visual playground for agentic workflows: Iterate over your agents 10x faster

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.

Open source agentic operating system

Memory library for building stateful agents

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance

NestJS Helper + AI Chatbot Development

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

Open Source AI Platform - AI Chat with advanced features that works with every LLM

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.