Showing 8 open source projects for "langchain"

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  • 1
    Langchainrb

    Langchainrb

    Build LLM-powered applications in Ruby

    LangchainRB is a Ruby implementation of LangChain, allowing developers to build AI-driven applications using large language models (LLMs) and knowledge graphs.
    Downloads: 3 This Week
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  • 2
    n8n

    n8n

    Free and source-available fair-code licensed workflow automation tool

    n8n is an extendable workflow automation tool. With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic and apps. n8n's node-based approach makes it highly versatile, enabling you to connect anything to everything. n8n has 200+ different nodes to automate workflows.
    Downloads: 770 This Week
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  • 3
    Agentic

    Agentic

    AI agent stdlib that works with any LLM and TypeScript AI SDK

    Agentic is an open source, TypeScript, AI agent standard library that works with any LLM and TS AI SDK. Agentic’s standard library of TypeScript AI tools are optimized for both TS-usage as well as LLM-based usage, which is really important for testing and debugging.
    Downloads: 28 This Week
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  • 4
    Agent Stack

    Agent Stack

    Deploy and share agents with open infrastructure

    ...Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in frameworks like LangChain, CrewAI, etc., enabling them to be hosted, managed and shared through a unified interface. It also offers multi-model, multi-provider support (OpenAI, Anthropic, Gemini, IBM WatsonX, Ollama etc.), letting users compare performance and cost across models. For developers and organizations building AI-agent products or automations, Agent Stack gives a scaffold that handles the “plumbing”, so they can focus on logic and domain.
    Downloads: 0 This Week
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  • 5
    LangGraph

    LangGraph

    Build resilient language agents as graphs

    LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application,...
    Downloads: 2 This Week
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  • 6
    Agents-Flex

    Agents-Flex

    Agents-Flex is an elegant LLM Application Framework like LangChain

    Agents-Flex includes a variety of network protocols for connecting LLMs, such as HTTP, SSE and WS. Its simple and flexible design allows developers to easily connect to various LLMs, including OpenAI, LLama, and other AI. Agents-Flex provides a rich set of development templates and Prompt Frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. Developers can also customize their own unique prompt templates. Agents-Flex has a very flexible Function Calling component. It supports local method...
    Downloads: 1 This Week
    Last Update:
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  • 7
    GitAgent

    GitAgent

    A framework-agnostic, git-native standard for defining AI agents

    GitAgent is an open standard and toolkit for defining portable AI agents using Git repositories as their foundational structure. The core idea behind the project is that an AI agent can be fully described by a set of files stored in a repository, allowing developers to clone the repository and instantly obtain a runnable agent. Unlike many frameworks that tightly couple agents to specific ecosystems, GitAgent is designed to be framework-agnostic so that the same agent definition can operate...
    Downloads: 0 This Week
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  • 8
    AI-Agent-Host

    AI-Agent-Host

    The AI Agent Host is a module-based development environment.

    ...The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. Being data-aware involves connecting a language model to other sources of data, enabling a comprehensive understanding and analysis of information.
    Downloads: 0 This Week
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