Browse free open source Intelligent Agents and projects for Windows below. Use the toggles on the left to filter open source Intelligent Agents by OS, license, language, programming language, and project status.

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  • 1
    Codel

    Codel

    Fully autonomous AI Agent that can perform complicated tasks

    Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.
    Downloads: 0 This Week
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  • 2
    The English-Vietnamese Bilingual Corpus (EVBCorpus) is a collection of English and Vietnamese parallel translations and bitexts.
    Downloads: 0 This Week
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  • 3

    FRODO 2

    Open-Source Framework for Distributed Constraint Optimization (DCOP)

    FRODO is a Java platform to solve Distributed Constraint Satisfaction Problems (DisCSPs) and Optimization Problems (DCOPs). It provides implementations for a variety of algorithms, including DPOP (and its variants), ADOPT, SynchBB, DSA...
    Downloads: 0 This Week
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  • 4

    Semantic Assistants

    Natural Language Processing (NLP) for the Masses

    Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.
    Downloads: 0 This Week
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    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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  • 5
    WrenAI

    WrenAI

    Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy

    Wren AI is a SQL AI Agent for data teams to get results and insights faster by asking business questions without writing SQL, and it's open-source. Wren AI has implemented a semantic engine architecture to provide the LLM context of your business; you can easily establish a logical presentation layer on your data schema that helps LLM learn more about your business context. With Wren AI, you can process metadata, schema, terminology, data relationships, and the logic behind calculations and aggregations with “Modeling Definition Language”, to generate accurate SQL queries with semantic context. When starting a new conversation in Wren AI, your question is used to find the most relevant tables. From these, LLM generates three relevant questions for the user to choose from. You can also ask follow-up questions to get deeper insights.
    Downloads: 0 This Week
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