#typescript #agents #ai_agents #ai_agents_framework #anthropic_claude #aws #aws_bedrock #aws_cdk #aws_lambda #chatbot #framework #generative_ai #machine_learning #openai #openaiapi #orchestrator #python #serverless #typescript

The Multi-Agent Orchestrator is a powerful tool that helps manage multiple AI agents to handle complex conversations. It intelligently routes user queries to the most suitable agent based on context and content, ensuring coherent interactions. Here are the key benefits Automatically directs user queries to the right agent.
- **Context Management** Supports both streaming and non-streaming responses, and can run on various platforms including AWS Lambda and local environments.
- **Customization** Comes with ready-to-use agents and classifiers for quick deployment.

This makes it ideal for applications ranging from simple chatbots to sophisticated AI systems, providing efficient and scalable solutions.

https://github.com/awslabs/multi-agent-orchestrator

#typescript #chatbot #cot #graphrag #knowledge_graph #mysql #rag #serverless #vector_database

TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.

https://github.com/pingcap/autoflow

#rust #actor #actors #bevy #cloudflare_durable_objects #deno #durable_objects #foundationdb #game_development #godot #multiplayer #partykit #realtime #rust #serverless #unreal_engine

Rivet helps you build and scale real-time applications easily. It has features like Remote Procedure Calls (RPC), automatic state management, and real-time event handling. Rivet actors can scale automatically to handle large numbers of users and reduce latency by running close to your users. It also includes built-in monitoring, supports data localization, and is powered by reliable technologies like Rust and FoundationDB. This makes it easier and more efficient to develop collaborative applications, game servers, chat apps, and more. You can get started quickly with their easy installation guides and various deployment options.

https://github.com/rivet-gg/rivet

#hcl #ansible #aws #devops #gcp #kubernetes #packer #serverless #sre #terraform

You can watch a new video on YouTube by clicking the link provided. If you need help or support, you can get mentorship, on-the-job support, or consulting by emailing me@antonputra.com. There are also playlists available, such as Performance Benchmarks, and you can find more lessons in the contents section. You can follow on various social media platforms like YouTube, LinkedIn, Twitter/X, Instagram, or contact directly via email. This helps you learn new things, get support when needed, and stay connected with valuable resources.

https://github.com/antonputra/tutorials

#lua #ai #ai_gateway #api_gateway #api_management #apis #artificial_intelligence #cloud_native #consul #devops #docker #kong #kubernetes #kubernetes_ingress #kubernetes_ingress_controller #luajit #microservice #microservices #nginx #reverse_proxy #serverless

Kong API Gateway is a powerful tool that helps manage and secure your APIs. It offers features like advanced routing, load balancing, health checking, and authentication, making it easier to handle API traffic. Kong is highly scalable and can run on various platforms, including Kubernetes. It also supports plugins for additional functionalities such as AI traffic management and custom extensions. By using Kong, you can centralize your API management, focus on other important tasks, and ensure your APIs are secure and perform well. You can get started quickly with a free trial or by following the easy installation steps.

https://github.com/Kong/kong

#cplusplus #arduino #data_over_sound #ecc #fsk #internet_of_things #modem #pairing #python #qrcode #serverless #sound_library #ultrasound

**ggwave** is a small library that lets you send and receive data using sound. It works with devices like smartphones and microcontrollers, allowing them to communicate without needing the internet. This can be useful for sharing files or sending commands between devices in the same room. The library uses a special way of encoding data into sound waves, making it robust against background noise. Users can test it easily with apps like Waver on Android, iOS, or even in a web browser[1][3].

https://github.com/ggerganov/ggwave

#java #ai #apache_kafka #aws #azure #cloud #cloud_first #cloud_native #ebs #gcp #kafka #llm #messaging #minio #s3 #serverless #spot #streaming

AutoMQ provides a cloud-native alternative to Apache Kafka that runs on S3 storage, cutting costs by up to 90% while enabling instant scaling and eliminating cross-zone traffic fees. It offers high reliability, serverless operation, and full Kafka compatibility, making it easier and cheaper to manage large-scale data streaming without sacrificing performance or features.

https://github.com/AutoMQ/automq

#jupyter_notebook #a2a #agentic_ai #dapr #dapr_pub_sub #dapr_service_invocation #dapr_sidecar #dapr_workflow #docker #kafka #kubernetes #langmem #mcp #openai #openai_agents_sdk #openai_api #postgresql_database #rabbitmq #rancher_desktop #redis #serverless_containers

The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4].

https://github.com/panaversity/learn-agentic-ai

#typescript #android #appwrite #backend #backend_as_a_service #docker #firebase #flutter #hacktoberfest #hosting #ios #javascript #nextjs #react #react_native #reactnative #self_hosted #selfhosted #serverless #swift #web

Appwrite is a backend platform that helps you build web, mobile, and Flutter apps quickly and easily. It handles complex tasks like user authentication, database management, file storage, and more, so you don’t have to build these from scratch. Appwrite is open source, secure, and works with many programming languages and frameworks. You can use it in the cloud or host it yourself using Docker. The main benefit is that it saves you time and effort, letting you focus on creating great features for your app instead of worrying about backend setup and maintenance[3][5][1].

https://github.com/appwrite/appwrite

#rust #database #postgres #postgresql #rust #serverless

Neon is a serverless, open-source database that works like PostgreSQL but is designed for the cloud, making it easy to set up and manage without worrying about servers or manual scaling. It splits storage and computing, so you can quickly create, copy, or branch databases for testing or development, and it automatically adjusts resources to save costs and handle traffic spikes. This means you can start using Postgres in seconds, connect with your favorite tools, and focus on building your app instead of managing infrastructure, all while enjoying fast performance and flexible workflows[3][5][2].

https://github.com/neondatabase/neon

#python #aws #aws_cli #aws_sdk #cloud #cloud_management #cloudformation #cloudwatch #dynamodb #ec2 #ecs #elasticsearch #iam #kinesis #lambda #machine_learning #rds #redshift #route53 #s3 #serverless

AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily.

https://github.com/donnemartin/awesome-aws

#cplusplus #artificial_intelligence #cloud #cloud_native #cncf #container #docker #edge_computing #ewasm #hacktoberfest #hacktoberfest2023 #kubernetes #rust_lang #serverless #wasm #webassembly

WasmEdge is a fast, lightweight, and secure WebAssembly runtime that lets you run programs safely on your devices, servers, or the cloud. It supports many programming languages like C++, Rust, and JavaScript, and can run AI models, microservices, and smart contracts efficiently. WasmEdge offers strong security by isolating programs, making it great for extending software safely. It works well on edge devices, smart devices, and cloud environments, and supports easy integration with tools like Kubernetes and Docker. Using WasmEdge helps you run powerful applications faster, safer, and more flexibly on various platforms[1][2][3][4][5].

https://github.com/WasmEdge/WasmEdge

#rust #ai #bigdata #database #lakehouse #olap #rust #serverless #snowflake #sql

Databend is an open-source, cloud data warehouse built with Rust that offers a fast, cost-effective alternative to Snowflake. It supports both cloud and on-premise deployment, handles massive data (over 800 petabytes), and processes over 100 million queries daily. Databend excels in fast query execution, real-time data updates, and simplified data ingestion without extra ETL tools. It includes AI-powered analytics, advanced indexing, ACID compliance, and flexible schema support for semi-structured data. Using Databend can save you money, give you full control over your data, and provide high performance for complex analytics on large datasets[1][3].

https://github.com/databendlabs/databend

#go #cli #event_driven #event_driven_architecture #queues #serverless #serverless_functions #workflow_engine #workflows

Inngest lets you write reliable, long-running background functions called durable workflows that automatically handle retries, scheduling, and state management without needing to manage infrastructure like queues or servers. You write functions in your preferred language using their SDKs, run and test them locally with the Inngest Dev Server, then deploy them on your own infrastructure or Inngest’s platform. It supports complex workflows with steps that retry on failure, concurrency control, and event triggers. This saves you time and effort by simplifying event-driven app development, improving reliability, and scaling automatically without extra setup. It also offers tools for monitoring and managing workflows easily.

https://github.com/inngest/inngest