Showing 7 open source projects for "Agentic AI"

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  • 1
    MindSearch

    MindSearch

    An LLM-based Multi-agent Framework of Web Search Engine

    MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets.
    Downloads: 1 This Week
    Last Update:
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  • 2
    OpenViking

    OpenViking

    Context database designed specifically for AI Agents

    OpenViking is an open-source context database engineered for efficient indexing and retrieval of large amounts of unstructured or semi-structured context data used by AI applications. It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is...
    Downloads: 6 This Week
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  • 3
    grepai

    grepai

    Semantic Search & Call Graphs for AI Agents

    grepai is a privacy-first, semantic code search CLI designed to replace traditional keyword-based search with meaning-aware queries, letting developers and code tools find relevant code by what it does rather than just text matches. It builds a semantic index of a project using vector embeddings, enabling natural language queries like “authentication logic” to return contextually relevant functions and modules even when naming differs dramatically, making code exploration far more intuitive....
    Downloads: 0 This Week
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  • 4
    Koog

    Koog

    Koog is the official Kotlin framework for building AI agents

    Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs....
    Downloads: 0 This Week
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    Stop Storing Third-Party Tokens in Your Database

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  • 5
    Microsoft Learn MCP Server

    Microsoft Learn MCP Server

    Official Microsoft Learn MCP Server, powering LLMs and AI agents

    Microsoft Learn MCP Server is the official GitHub repository for the Microsoft Learn MCP (Model Context Protocol) Server, a service that implements the Model Context Protocol to provide AI assistants and tools with reliable, real-time access to Microsoft’s official documentation. Rather than relying on training data that may be outdated or incomplete, MCP servers let agents like GitHub Copilot, Claude, or other LLM-based tools search and pull context directly from up-to-date Microsoft Learn...
    Downloads: 0 This Week
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  • 6
    MemU

    MemU

    MemU is an open-source memory framework for AI companions

    MemU is an agentic memory layer for LLM applications, specifically designed for AI companions. Transform your memory into an intelligent file system that automatically organizes, connects, and evolves with your memories. Simple, fast, and reliable memory infrastructure for AI applications. Powerful tools and dedicated support to scale your AI applications with confidence.
    Downloads: 0 This Week
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  • 7
    SolidGPT

    SolidGPT

    Developer AI Persona Search Agent

    SolidGPT is a AI searching assistant for developers that helps code and workspace semantic search.
    Downloads: 0 This Week
    Last Update:
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