Research APIs(65)
AI answer engine with real-time web search
AI-powered search engine built for developers
AI search engine with smart answers, research, and creation modes
APIs for embeddings, reranking, and web-to-text conversion
Real-time search engine results API
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
API that turns any website into LLM-ready markdown
AI search engine for scientific research with citations
Autonomous multi-source research agent
Neural search engine designed for AI
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Large Action Model framework to develop AI Web Agents
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Search API built for AI agents
53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
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.
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.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
An autonomous agent that conducts deep research on any data using any LLM providers