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[Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai — Nick Nisi, Zack Proser
AI Engineer· 2025-07-12 16:00
This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases. Participants will learn to build structured AI workflows with composable tools and reliable control, enabling them to create internal AI assistants that can handle requests like data cleaning, email drafting, and document summarization with minimal code. The session covers Mastra installation, running a local MCP s ...
Containing Agent Chaos — Solomon Hykes, Dagger
AI Engineer· 2025-06-28 16:30
AI agents promise breakthroughs but often deliver operational chaos. Building reliable, deployable systems with unpredictable LLMs feels like wrestling fog – testing outputs alone is insufficient when the underlying workflow is opaque and flaky. How do we move beyond fragile prototypes? This talk, from the creator of Docker, argues the solution lies outside the model: engineering reproducible execution workflows built on rigorous architectural discipline. Learn how containerization, applied not just to depl ...
Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat
AI Engineer· 2025-06-27 10:31
The Gemini Live API GA is now powered by Google's best cost-effective thinking model Gemini 2.5 Flash. We will do a deep dive on the capabilities that the Gemini Live API combined with Pipecat unlock for devs with special focus on session management, turn detection, tool use (including async function calls), proactivity, multilinguality and integration with telephony and other infra. We will demo some of the more innovative capabilities. We will also talk through some customer use cases - especially how cus ...
LangChain Academy New Course: Building Ambient Agents with LangGraph
LangChain· 2025-06-26 15:38
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 improv ...
X @Avi Chawla
Avi Chawla· 2025-06-16 19:23
RT Avi Chawla (@_avichawla)A RAG engine for deep document understanding!RAGFlow lets you build enterprise-grade RAG workflows on complex docs with well-founded citations.Supports multimodal data understanding, web search, deep research, etc.100% local & open-source with 55k+ stars! https://t.co/skOHLpd38e ...
Exposing Agents as MCP servers with mcp-agent: Sarmad Qadri
AI Engineer· 2025-06-11 16:57
My name is Sarmad and today I want to talk about building effective agents with model context protocol or MCP. So a lot has changed in the last year. Um especially as far as agent development is concerned.I think 2025 is the year of agents and uh things like MCP make agent design simpler and more robust than ever before. So I want to talk about what the agent tech stack looks like in 2025. The second thing is a lot of uh MCP servers today are just you know onetoone mappings of existing REST API uh uh servic ...
X @Avi Chawla
Avi Chawla· 2025-06-09 06:32
You can integrate LangWatch evaluations into CI/CD workflows so every model update is automatically checked before deployment.GitHub repo → https://t.co/Tx3oJoPEFG(don't forget to star it ⭐️) ...
OpenAI“Agent万能论”遭打脸!LangChain创始人:Deep Search恰恰证明Workflows不可取代
AI前线· 2025-04-25 13:48
当前,AI 领域呈现出一种近乎"追星式"的热情氛围,每当有新的东西发布,便迅速引发广泛关注与高度评价,仿佛技术变革即将一触即发。同时大 家情绪也波动剧烈,从"危机论"到"爆发论"频繁切换。OpenAI 最近出的《A Practical guide to building AI agents》的指南,就是他们最近捧上天 的"神作"。它直接被捧成了"圣经",一时间风头无两。 整理 | Tina 这份 34 页的指南被誉为"市面上最优秀的资源",旨在为产品和工程团队提供构建 AI 智能体的实用方法,涵盖了 Agent 的定义、识别 Agent 应用 场景、设计框架、逻辑和编排模式等关键方面。 不过,以冷静理性著称的 LangChain 创始人 Harrison Chase 对 OpenAI 的这份指南中提出的一些核心观点表达了强烈异议,甚至表示该指南一 开始就让人感到"恼火"。他公开批评这份指南"具有误导性",并罕见地进行了逐字逐句的分析。 他认为,OpenAI 在定义 Agent 时采取了一种过于僵硬的"二元对立"方法。实际上,目前大多数"Agentic 系统"都是 Workflows 和 Agents 的有机 ...
Intelligent Product Solutions Joins Zebra Technologies' PartnerConnect Program
Newsfilter· 2025-04-14 14:10
Core Insights - Intelligent Product Solutions (IPS) has joined Zebra Technologies' PartnerConnect program as a Registered Alliance Partner, focusing on software solutions development and systems integration [1][2][3] - The partnership provides IPS with access to Zebra's innovative portfolio, training, and marketing benefits, enhancing collaboration opportunities within the Zebra ecosystem [2][3] Company Overview - IPS is a subsidiary of Forward Industries and is recognized for its expertise in product design and engineering, particularly in MedTech and wearable technology [4] - The company serves leading brands in consumer electronics and medical devices, including Neuvotion, Google, Verizon, and Zebra Technologies [4]
Intelligent Product Solutions Joins Zebra Technologies’ PartnerConnect Program
Globenewswire· 2025-04-14 14:10
Core Insights - Intelligent Product Solutions (IPS) has joined Zebra Technologies' PartnerConnect program as a Registered Alliance Partner, focusing on software solutions development and systems integration [1][2][3] - The partnership provides IPS with access to Zebra's innovative portfolio, training, and marketing benefits, enhancing collaboration within the Zebra ecosystem [2][3] - The PartnerConnect program aims to support various partners, including distributors and independent software vendors, to meet market demands and foster growth [3] Company Overview - IPS is a subsidiary of Forward Industries and specializes in product design and engineering, particularly in MedTech and wearable technology [4] - The company serves leading brands in consumer electronics and medical devices, including Neuvotion, Google, Verizon, and Zebra Technologies [4]