Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

1 command to build, deploy & scale AI Agents! xpander is your plug-and-play Backend-as-a-Service for agents—manages memory, tools, multi-user states, events, guardrails, and more. Works with LlamaIndex, Langchain, CrewAI, Google ADK—you name it. 100% open-source.

akshay_pachaar's profile picture

Akshay 🚀

212,372 subscribers

60,192 görüntüleme • 1 yıl önce •via X (Twitter)

Sağlık & İyilikBilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

11 Yorum

Akshay 🚀 profil fotoğrafı
Akshay 🚀1 yıl önce

Link to GitHub repo: (Don't forget to star 🌟)

Akshay 🚀 profil fotoğrafı
Akshay 🚀1 yıl önce

If you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

Alexander Mia profil fotoğrafı
Alexander Mia1 yıl önce

INTRODUCING: Agentic Security - LLM Security Scanner! 🔍 🔑 Features: Scans for prompt injections, jailbreaking & more. Provides detailed reports & options to customize attack rules. 🔗access the GitHub Link ↓

Deependra profil fotoğrafı
Deependra1 yıl önce

Looks great !!....maybe, i will give it a try...for one of my project related to agents.

Akshay 🚀 profil fotoğrafı
Akshay 🚀1 yıl önce

Perfect! Glad you found it helpful!

Avi Chawla profil fotoğrafı
Avi Chawla1 yıl önce

This is much-needed for Agents. Thanks Akshay. Will try this out.

Akshay 🚀 profil fotoğrafı
Akshay 🚀1 yıl önce

You're welcome! :)

【 AITV 】 profil fotoğrafı
【 AITV 】1 yıl önce

Nice. Bots building bots🤌🤌

Mykhailo Sorochuk profil fotoğrafı
Mykhailo Sorochuk1 yıl önce

Looks solid. Excited to give it a go!

Akshay 🚀 profil fotoğrafı
Akshay 🚀1 yıl önce

Awesome! 🔥

Kyle Quest (aka Q) profil fotoğrafı
Kyle Quest (aka Q)1 yıl önce

That repo only has a readme and a hello world example... The actual backend is not open source :-)

Benzer Videolar

Finally, a production-ready backend for Agents that actually works! xpander is a plug-and-play backend for Agents that manages memory, tools, states, version control, guardrails, and more. Works with any framework, like CrewAI, Agno, Langchain, etc. Fully self-hostable!
0:44

Finally, a production-ready backend for Agents that actually works! xpander is a plug-and-play backend for Agents that manages memory, tools, states, version control, guardrails, and more. Works with any framework, like CrewAI, Agno, Langchain, etc. Fully self-hostable!

Avi Chawla

50,659 görüntüleme • 10 ay önce

AI agents can finally talk to your frontend! The new AG-UI protocol lets your agents stream messages, sync state, call tools, and receive user input, live in the UI. It fills a critical gap in the agent ecosystem: ▸ MCP – agents to tools ▸ A2A – agents to agents ▸ AG-UI – agents to users, via frontends Connects to LangChain, CrewAI, and LlamaIndex (and more). 100% open-source.
0:25

AI agents can finally talk to your frontend! The new AG-UI protocol lets your agents stream messages, sync state, call tools, and receive user input, live in the UI. It fills a critical gap in the agent ecosystem: ▸ MCP – agents to tools ▸ A2A – agents to agents ▸ AG-UI – agents to users, via frontends Connects to LangChain, CrewAI, and LlamaIndex (and more). 100% open-source.

Lior⚡

15,514 görüntüleme • 1 yıl önce

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5
0:22

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5

AshutoshShrivastava

130,272 görüntüleme • 1 yıl önce

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events
10:01

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events

Google AI Developers

39,681 görüntüleme • 8 ay önce

Build smarter AI agents, faster. ⚡️ The open-source Agent Development Kit makes it easy to create modular, multi-agent systems using the models and tools you prefer. Join the ADK Hackathon →
0:51

Build smarter AI agents, faster. ⚡️ The open-source Agent Development Kit makes it easy to create modular, multi-agent systems using the models and tools you prefer. Join the ADK Hackathon →

Google for Developers

11,240 görüntüleme • 1 yıl önce

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend for the Agent - Agentic workflow with LlamaIndex Built with LlamaIndex 🦙 To connect your agents with more tools like Gmail, use
1:09

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend for the Agent - Agentic workflow with LlamaIndex Built with LlamaIndex 🦙 To connect your agents with more tools like Gmail, use

Karan Vaidya

62,030 görüntüleme • 1 yıl önce

BREAKING 🚨: Google introduced Gemini Enterprise with Agents, Connectors and Agent Builder! “It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context.“
0:37

BREAKING 🚨: Google introduced Gemini Enterprise with Agents, Connectors and Agent Builder! “It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context.“

TestingCatalog News 🗞

104,349 görüntüleme • 9 ay önce

Introducing Upstash AI Agents! 🎉 ◆ Build production-ready AI workflows in minutes ◆ Specialize agents with tools (research, writing, analysis) ◆ Works with Vercel AI SDK, Langchain and more The best way to write AI agent workflows, fully customizable 👇🏻
1:57

Introducing Upstash AI Agents! 🎉 ◆ Build production-ready AI workflows in minutes ◆ Specialize agents with tools (research, writing, analysis) ◆ Works with Vercel AI SDK, Langchain and more The best way to write AI agent workflows, fully customizable 👇🏻

Upstash

39,117 görüntüleme • 1 yıl önce

Metorial (@MetorialAI) makes it easy for AI agents to use tools and data. Deploy 600+ MCP integrations in three clicks and connect them to agents in a single function call. Open-source and the only serverless MCP platform built for multi-tenant systems.
1:58

Metorial (@MetorialAI) makes it easy for AI agents to use tools and data. Deploy 600+ MCP integrations in three clicks and connect them to agents in a single function call. Open-source and the only serverless MCP platform built for multi-tenant systems.

Y Combinator

15,341 görüntüleme • 8 ay önce

AG-UI protocol has become as an industry standard📈 The Agent-User Interaction protocol allows you to connect AI agents and frontends. AND it just crossed 2.5M weekly downloads! With adoption/integration by Google, AWS, Microsoft, Oracle, LangChain, Mastra, Pydantic AI, CrewAI & so many more. As well as SDKs in .NET, Golang, Kotlin, Java, Rust and more all contributed by the community. How it works & more 👇
0:25

AG-UI protocol has become as an industry standard📈 The Agent-User Interaction protocol allows you to connect AI agents and frontends. AND it just crossed 2.5M weekly downloads! With adoption/integration by Google, AWS, Microsoft, Oracle, LangChain, Mastra, Pydantic AI, CrewAI & so many more. As well as SDKs in .NET, Golang, Kotlin, Java, Rust and more all contributed by the community. How it works & more 👇

Atai Barkai

18,650 görüntüleme • 2 ay önce

Your AI agents are only as good as the systems they can interact with. Introducing the new ADK integrations ecosystem. Connect your ADK agents to GitHub, Hugging Face, Notion and many more with tools and plugins. Start building today:
0:54

Your AI agents are only as good as the systems they can interact with. Introducing the new ADK integrations ecosystem. Connect your ADK agents to GitHub, Hugging Face, Notion and many more with tools and plugins. Start building today:

Google for Developers

64,823 görüntüleme • 4 ay önce

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail
3:02

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

LangChain

33,192 görüntüleme • 1 yıl önce

A Crash Course on Building AI Agents! Here's what it covers: - What is an AI agent - Connecting agents to tools - Overview of MCP - Replacing tools with MCP servers - Setting up observability and tracing All with 100% open-source tools!
32:57

A Crash Course on Building AI Agents! Here's what it covers: - What is an AI agent - Connecting agents to tools - Overview of MCP - Replacing tools with MCP servers - Setting up observability and tracing All with 100% open-source tools!

Akshay 🚀

115,825 görüntüleme • 1 yıl önce

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.
1:33

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

Santiago

140,737 görüntüleme • 7 ay önce

🤖 Agents SDK—our new open-source SDK for orchestrating multi-agent workflows, improving upon Swarm. Configure agents with built-in tools, hand off tasks, add safety guardrails, and visualize execution traces for debugging and optimizing performance.
0:32

🤖 Agents SDK—our new open-source SDK for orchestrating multi-agent workflows, improving upon Swarm. Configure agents with built-in tools, hand off tasks, add safety guardrails, and visualize execution traces for debugging and optimizing performance.

OpenAI Developers

164,359 görüntüleme • 1 yıl önce

🚨 FUSION AGENTS - Build Complete SaaS Apps With Open-Source AI Fusion agents combine Kimi 2.7 and GLM with Opus 4.8 and GPT 5.5 - multi-agent architectures with open-source sub-agents - build complete SaaS apps - one click connectors to 100+ products - create companion iOS and android apps with one prompt - accept stripe payments
1:03

🚨 FUSION AGENTS - Build Complete SaaS Apps With Open-Source AI Fusion agents combine Kimi 2.7 and GLM with Opus 4.8 and GPT 5.5 - multi-agent architectures with open-source sub-agents - build complete SaaS apps - one click connectors to 100+ products - create companion iOS and android apps with one prompt - accept stripe payments

Bindu Reddy

4,480,820 görüntüleme • 23 gün önce

🚀 Say hello to the new & improved phidata 🚀 Build, ship, and monitor Agents with blazing-fast memory, knowledge, tools & reasoning 🔥 ⚡️ 70% faster memory & knowledge 🛠 100+ tools 🧠 Reasoning Agents 🤝 Multi-agent collaboration 📊 Built-in monitoring and Agent UI
0:34

🚀 Say hello to the new & improved phidata 🚀 Build, ship, and monitor Agents with blazing-fast memory, knowledge, tools & reasoning 🔥 ⚡️ 70% faster memory & knowledge 🛠 100+ tools 🧠 Reasoning Agents 🤝 Multi-agent collaboration 📊 Built-in monitoring and Agent UI

Ashpreet Bedi

114,531 görüntüleme • 1 yıl önce

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️
2:25

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️

LangChain

41,016 görüntüleme • 6 ay önce

🔥 New LangChain Academy Course: LangChain Essentials (Python & TypeScript) 🔥 Learn the basics of LangChain – our open source framework that makes it easy to start building agents with any model provider. Last week, we released LangChain 1.0. We’ve completely rewritten LangChain to be opinionated, focused, and powered by LangGraph’s runtime. It includes a new `create_agent` abstraction to build agents quickly, middleware for flexibility, and standard content blocks that work across any model provider. In this quickstart course, you'll learn how to: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug and test your agent with LangSmith Observability & Evaluation Enroll for free ➡️
1:37

🔥 New LangChain Academy Course: LangChain Essentials (Python & TypeScript) 🔥 Learn the basics of LangChain – our open source framework that makes it easy to start building agents with any model provider. Last week, we released LangChain 1.0. We’ve completely rewritten LangChain to be opinionated, focused, and powered by LangGraph’s runtime. It includes a new `create_agent` abstraction to build agents quickly, middleware for flexibility, and standard content blocks that work across any model provider. In this quickstart course, you'll learn how to: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug and test your agent with LangSmith Observability & Evaluation Enroll for free ➡️

LangChain

50,221 görüntüleme • 8 ay önce

✨AG-UI has been taking off! The Agent-User Interaction Protocol, allows you to bring AI agents into Frontend Apps. Excited to announce BIG updates & adoption by LlamaIndex 🦙 ,Agno, Google ADK, AWS & more! + New Building Experience🧑‍💻 npx create-ag-ui-app How it works & more 👇
0:25

✨AG-UI has been taking off! The Agent-User Interaction Protocol, allows you to bring AI agents into Frontend Apps. Excited to announce BIG updates & adoption by LlamaIndex 🦙 ,Agno, Google ADK, AWS & more! + New Building Experience🧑‍💻 npx create-ag-ui-app How it works & more 👇

CopilotKit🪁

70,625 görüntüleme • 1 yıl önce