How Model Context Protocol unifies AI models with tools and data

Typing what you want and getting a working automation is no longer a demo—it’s shipping. n8n has released an AI Workflow Builder that generates workflows from plain-English prompts. Built into v1.115.0, it helps non-technical teams prototype and share automations faster while letting developers refine logic with code when needed. For product and ops teams, this could cut handoff time and make experimentation safer inside the same governed platform. Sources: https://lnkd.in/ervx2Cun https://blog.n8n.io Would you prefer using the n8n MCP Server?

𝐑𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲 𝐑𝐚𝐝𝐚𝐫 𝐏𝐑#𝟐𝟎 - 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚 𝐈𝐧 𝐌𝐨𝐭𝐢𝐨𝐧 Back with your no-fluff scan of open source software infra. This week Claudius and myself highlight how OSS agent stacks and AI infra frameworks are scaling. LangChain’s 125m USD round shows that open frameworks can evolve into real platforms, while Immich, Pathway, and Polar keep expanding what’s possible for self-hosted data, live pipelines, and developer monetization. 𝐖𝐡𝐚𝐭’𝐬 𝐫𝐢𝐬𝐢𝐧𝐠 𝐟𝐚𝐬𝐭: ⚡ LangChain – Raised 125m USD at a 1.25b USD valuation led by IVP, proving that OSS-first frameworks can scale even in thin AI infra layers. 🖼️ Immich – Self-hosted photo and video management with AI search, tagging, and multi-device sync. 🔎 Pathway LLM App – Template-based RAG and live-data AI pipelines for enterprise search and indexing. 🧠 Wave Terminal – Cross-platform terminal combining CLI, editor, browser, and AI assistant in one workspace. ⚙️ Agent Lightning (Microsoft) – Reinforcement learning trainer for AI agents supporting multiple frameworks. 📚 Open Notebook – Multi-model, self-hosted research notebook for PDFs, audio, and contextual chat. 💳 Polar – Open-source payments and monetization platform for developers selling SaaS and digital products. From OSS frameworks to agent training and monetization infra, this wave shows that open AI infra is not only research-grade but becoming commercial and production-ready. 📡 𝐏𝐑#𝟐𝟎 𝐟𝐮𝐥𝐥 𝐰𝐫𝐢𝐭𝐞𝐮𝐩 𝐡𝐞𝐫𝐞: https://lnkd.in/gUDGSZRc 👩💻 𝐎𝐒𝐒 𝐇𝐞𝐫𝐨𝐞𝐬: Harrison Chase (LangChain), Zuzanna Stamirowska (Pathway), Michael Sawka (WaveTerm), Xufang Luo (Agent Lightning), Birk Jernström (Polar) #opensource #AI #LLM #RAG #agentic

The N8n trap no one talks about N8n is amazing until your automation stack starts running your business instead of supporting it. I’ve seen founders build 40+ workflows to connect everything. It works beautifully… until one breaks. Then five others fail silently. What started as “saving time” turns into hours debugging a web of invisible logic. Automation should be designed like code, not like duct tape. If your logic isn’t versioned, logged, and recoverable it’s not automation. It’s risk with a nice UI. Use N8n as a bridge, not a backbone. Core logic still belongs in code. The goal isn’t to automate everything it’s to automate the right things, the right way. I help teams bring order to their automation chaos using clean, scalable N8n + service architecture. #n8n #automation #workflowautomation #softwarearchitecture #ai #digitaltransformation #businessautomation #systemdesign #scalablesystems #founders #b2b #b2c

Tiny Synapse is now in closed alpha! Providing inteligent AI search for a free (And will stay free!). Because of tag based approach, TS allows You to control search like a PRO. System contains now polish tax databases. In comparison to other products & original databases, Tiny Synapse returns better, much more matched results. Fully standalone, TS hardware for your office is now in testing :) + Yeah, I don't use any LLM provider (OpenAI etc), all computations are done on my dedicated hardware.

AI supply chains are harder to secure than traditional software: more opaque, more data-independent, more vulnerable. Tamper-proof provenance is no longer optional. Learn how AI supply chains can be risky and the steps to secure them: https://bit.ly/4ob2xGu

AI is reshaping the tried-and-true per-seat model of pricing software, creating several challenges. Here’s how to set the most effective course: https://bit.ly/46P3Dl9

AI is reshaping the tried-and-true per-seat model of pricing software, creating several challenges. Here’s how to set the most effective course: https://bit.ly/4mXV0cF

AI is reshaping the tried-and-true per-seat model of pricing software, creating several challenges. Here’s how to set the most effective course: https://bit.ly/4hqKf1m

AI is reshaping the tried-and-true per-seat model of pricing software, creating several challenges. Here’s how to set the most effective course: https://bit.ly/4n5hbhb

AI is reshaping the tried-and-true per-seat model of pricing software, creating several challenges. Here’s how to set the most effective course: https://bit.ly/4nPhX32