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Deep Agents: The Batteries-Included Agent Harness for Complex AI Tasks
Deep Agents is an agent harness built on LangChain and LangGraph, designed to simplify the creation of complex AI agents. It comes equipped with essential tools like planning, filesystem access, and the ability to spawn sub-agents, enabling it to handle sophisticated agentic tasks out of the box. This framework provides a ready-to-run agent that can be easily customized with additional tools, models, and prompts.
langcorn: Serve LangChain LLM Apps and Agents with FastAPI
Langcorn is an innovative API server designed to effortlessly deploy LangChain models and pipelines. It leverages the high-performance FastAPI framework, offering a robust and scalable solution for serving large language model applications. With features like easy installation, built-in authentication, and support for custom API keys, Langcorn streamlines the process of bringing your LLM projects to production.
DeerFlow: A Deep Research Framework Powered by LLMs and Multi-Agent Systems
DeerFlow is a community-driven Deep Research framework developed by ByteDance, designed to combine language models with powerful tools for web search, crawling, and Python execution. It enables comprehensive research processes, from intelligent clarification to report generation and even podcast creation, all while giving back to the open-source community.
RAG Web UI: An Intelligent Dialogue System with Retrieval-Augmented Generation
RAG Web UI is an intelligent dialogue system leveraging Retrieval-Augmented Generation (RAG) technology to build robust Q&A systems. It enables users to create knowledge bases from various document formats and supports multiple LLM deployment options, including cloud services and local models like Ollama. The system also offers OpenAPI interfaces for seamless integration.