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Source channel @githubtrending · Post #15066 · Aug 16

#python#agents#ai#api_gateway#asyncio#authentication_middleware#devops#docker#fastapi#federation#gateway#generative_ai#jwt#kubernetes#llm_agents#mcp#model_context_protocol#observability#prompt_engineering#python#tools The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure. https://github.com/IBM/mcp-context-forge

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@githubtrending · Post #15208 · 10/09/2025, 02:00 PM

#go#archival#data_archiving#data_import#family_history#self_hosted#timeline Timelinize helps you organize your personal data from different sources like photos, messages, and social media into a single timeline on your computer. This keeps your data private and under your control, unlike cloud services. You can import data from many places, view it on a map, and see conversations across different platforms. It's like having a personal journal that you can add to and keep forever, without relying on companies to store it for you. This way, you can keep your memories safe and easily look back at them whenever you want. https://github.com/timelinize/timelinize