🤖 A composable framework for building AI applications.

Sendbird AI-Agent

AI-Chatbot-Framework is a flexible and extensible open-source framework designed to simplify the development and deployment of AI-powered chatbots. Built with modularity in mind, it supports integration with various natural language processing (NLP) engines, conversational AI services, and third-party APIs.

Modern TypeScript framework for building context-aware AI applications with advanced reasoning, memory management, and provider-agnostic design. NeuCore provides essential building blocks for sophisticated AI systems through modular, extensible architecture

Enterprise-grade L1-L3 protocol stack for building intelligent multi-agent systems. Vendor-neutral framework with 10 core modules, 2,869 tests (100% pass rate), and TypeScript native support.

Multi-Language Backend Framework that unifies APIs, background jobs, workflows, and AI Agents into a single core primitive with built-in observability and state management.

Tiny, schema-first AI SDK — typed outputs, streaming, flows, and provider-agnostic adapters.

Open-source platform to build and deploy AI agent workflows.

A production-grade, type-safe framework for building AI-powered conversational assistants with Supabase integration, designed for enterprise applications with strict quality standards and scalable architecture.

A simple toolkit that provides basic schemas and validation logic for tool calling functionality in Large Language Model applications.

LlamaFlow is a framework that has inbuilt agentic workflows,reiterative reflection and llm review system making it a true framework for llm applications

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.