Showing 2 open source projects for "community%20detection%20algorithm"

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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.
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  • 1
    SpotBugs

    SpotBugs

    A tool for static analysis to look for bugs in Java code

    ...It is free software, distributed under the terms of the GNU Lesser General Public License. SpotBugs is a fork of FindBugs (which is now an abandoned project), carrying on from the point where it left off with the support of its community. Please check the official manual for details. SpotBugs requires JRE (or JDK) 1.8.0 or later to run. However, it can analyze programs compiled for any version of Java, from 1.0 to 1.9. To build the SpotBugs plugin for Eclipse, you'll need to create the file eclipsePlugin/local.properties, containing a property eclipseRoot.dir that points to an Eclipse installation's root directory (see .travis.yml for an example), then run the build.
    Downloads: 4 This Week
    Last Update:
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  • 2
    WALA

    WALA

    Libraries for Analysis, with frontends for Java, Android, and JS

    ...The initial WALA infrastructure was independently developed as part of the DOMO research project at the IBM T.J. Watson Research Center. In 2006, IBM donated the software to the community. The WALA publications department is populating this wiki with technical documentation on a demand-driven basis, driven by questions posted to the wala-wala mailing list and also Gitter.
    Downloads: 0 This Week
    Last Update:
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