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Source channel @githubtrending · Post #14791 · Jun 5

#python#ai#ai_agents#ai_memory#cognitive_architecture#cognitive_memory#contributions_welcome#good_first_issue#good_first_pr#graph_database#graph_rag#graphrag#help_wanted#knowledge#knowledge_graph#neo4j#open_source#openai#rag#vector_database Cognee is an open-source AI memory engine that helps improve how AI systems understand and process data. It mimics human cognitive processes, creating "memories" from various data types like text and images. This enhances the accuracy of large language models (LLMs) and allows them to recall past interactions and documents. Cognee is scalable, cost-effective, and integrates easily with existing systems, making it a valuable tool for developers seeking to boost AI performance without relying on expensive APIs. https://github.com/topoteretes/cognee

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@githubtrending · Post #15440 · 01/27/2026, 12:00 PM

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#go#config#config_loader#configuration#configuration_file#configuration_management#etcd_client#go#golang#golang_package#s3_bucket#toml#viper#yaml koanf is a lightweight Go library to load config from files (JSON, YAML, TOML), env vars, flags, S3, Vault and more, merging them easily with dot-path keys like "app.server.port". Install core with `go get github.com/knadh/koanf/v2`, add providers/parsers as needed. It's a cleaner Viper alternative with fewer dependencies and better extensibility. This saves you time by simplifying config in apps, letting you override values flexibly without bloat or forced orders. https://github.com/knadh/koanf

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#go #config #config_loader #configuration #configuration_file #configuration_management #etcd_client #golang #golang_package #s3_bucket #toml #viper #yaml