Advanced 自我託管解決方案 Tools for Professionals

Discover cutting-edge 自我託管解決方案 tools built for intricate workflows. Perfect for experienced users and complex projects.

自我託管解決方案

  • CodeGPT: AI-based coding assistant to streamline and enhance coding productivity.
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    What is Code GPT?
    CodeGPT is a set of AI-based solutions that empowers developers by enhancing coding efficiency, offering a wide range of features such as code completion, refactoring, and error checking. The tool leverages large language models to provide intelligent assistance, ensuring privacy and security with self-hosted solutions. CodeGPT is versatile, supporting various programming languages and integrating with popular IDEs like Visual Studio Code and JetBrains, making it an invaluable tool for modern software development.
  • n8n is an open-source workflow automation tool that connects various apps and services.
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    What is n8n?
    n8n is a powerful open-source workflow automation platform that allows users to integrate various apps and services easily. With more than 200 app integrations, users can design workflows that include triggers, actions, and data transformation steps without any programming knowledge. The platform features both a visual workflow editor and the capability to create custom nodes for unique requirements, making it an excellent choice for automating tasks and enhancing productivity across various business functions.
  • Automate business workflows with AI agents for customer service, data extraction, and social media content.
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    What is Tohju Store Chat Assistant?
    Tohju offers a platform to create AI agents that automate various business workflows. These AI agents can handle customer service inquiries, extract structured data from documents, and manage social media content, thus allowing businesses to focus on core activities. With Tohju, you can integrate these agents into existing systems, ensuring seamless operations, enhanced productivity, and reduced operational costs. The self-hosted model ensures data security and customization tailored to your business needs.
  • A Python client library enabling developers to interact with and manage conversations on an open-source AI assistant server.
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    What is Open Assistant API?
    The Open Assistant API provides a comprehensive Python client and CLI tools to interact with the Open Assistant server, a self-hosted open-source conversational AI platform. By exposing endpoints for creating conversations, sending user prompts, streaming AI-generated replies, and capturing feedback on responses, it enables developers to orchestrate complex chat workflows. It supports connection configuration, authentication tokens, customizable model selection, and batched message handling. Whether deployed locally for privacy or connected to remote instances, the API offers full control over conversation state and logging, making it ideal for building, testing, and scaling ChatGPT-style assistants across various applications.
  • A minimal, responsive chat interface enabling seamless browser-based interactions with OpenAI and self-hosted AI models.
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    What is Chatchat Lite?
    Chatchat Lite is an open-source, lightweight chat UI framework designed to run in the browser and connect to multiple AI backends—including OpenAI, Azure, custom HTTP endpoints, and local language models. It provides real-time streaming responses, Markdown rendering, code block formatting, theme toggles, and persistent conversation history. Developers can extend it with custom plugins, environment-based configurations, and adaptability for self-hosted or third-party AI services, making it ideal for prototypes, demos, and production chat apps.
  • Local-Super-Agents enables developers to build and run autonomous AI agents locally with customizable tools and memory management.
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    What is Local-Super-Agents?
    Local-Super-Agents provides a Python-based platform for creating autonomous AI agents that run entirely locally. The framework offers modular components including memory stores, toolkits for API integration, LLM adapters, and agent orchestration. Users can define custom task agents, chain actions, and simulate multi-agent collaboration within a sandboxed environment. It abstracts complex setup by offering CLI utilities, pre-configured templates, and extensible modules. Without cloud dependencies, developers maintain data privacy and resource control. Its plugin system supports integrating web scrapers, database connectors, and custom Python functions, empowering workflows such as autonomous research, data extraction, and local automation.
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