Showing 2 open source projects for "five m"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
    Learn More
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    ToxTrac

    ToxTrac

    Free Animal Tracking Software

    ToxTrac is a free Windows program optimized for tracking animals. It uses an advanced tracking algorithm and includes Preprocessing, Background subtraction, Thresholding, Post-processing, and Filters. It is robust; very fast; and can handle one or several animals in one or several environments. The program provides useful statistics as output. ToxTrac can be used for fish, insects, rodents, etc. If used, please cite: Rodriguez, A., Zhang, H., Klaminder, J., Brodin, T., Andersson, P....
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    Downloads: 233 This Week
    Last Update:
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    DyMMM

    Dynamic Multispecies Metabolic Modeling framework

    The Dynamic Multispecies Metabolic Modeling (DyMMM [dĭm]) framework is a mathematical modeling tool that integrates multiple constraint-based metabolic models into a single dynamic community metabolic model. The DyMMM framework was formerly known as the DMMM framework. Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition...
    Downloads: 0 This Week
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