Building a Production Multi-Agent RAG System with LangGraph — What I Learned
A hands-on account of going from prototype to production at work Continue reading on Medium »
Could not retrieve the full article text.
Read on Medium AI →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
productagent
Anthropic Races to Contain Leak of Code Behind Claude AI Agent - WSJ
Anthropic Races to Contain Leak of Code Behind Claude AI Agent WSJ Anthropic leak reveals Claude Code tracking user frustration and raises new questions about AI privacy Scientific American Anthropic leaked 500,000 lines of its own source code Axios
Anthropic cuts off the ability to use Claude subscriptions with OpenClaw and third-party AI agents
Are you a subscriber to Anthropic's Claude Pro ($20 monthly) or Max ($100-$200 monthly) plans and use its Claude AI models and products to power third-party AI agents like OpenClaw ? If so, you're in for an unpleasant surprise. Anthropic announced a few hours ago that starting tomorrow, Saturday, April 4, 2026, at 12 pm PT/3 pm ET, it will no longer be possible for those Claude subscribers to use their subscriptions to hook Anthropic's Claude models up to third-party agentic tools, citing the strain such usage was placing on Anthropic's compute and engineering resources, and desire to serve a wide number of users reliably. "We’ve been working hard to meet the increase in demand for Claude, and our subscriptions weren't built for the usage patterns of these third-pa
How to Publish a Paid API for AI Agents Using MCP and AgenticTrade
How to Publish a Paid API for AI Agents Using MCP and AgenticTrade Most API monetization guides assume your consumers are humans who browse a marketplace, read your docs, and manually configure auth. That assumption is becoming outdated. AI agents do not browse. They query a service registry at runtime, read machine-structured MCP tool descriptors, execute calls autonomously, and handle payment without a human in the loop. The infrastructure for that workflow is what AgenticTrade is building. This article walks through the practical steps to register your API on AgenticTrade — an MCP-native marketplace where AI agents can discover, authenticate, and pay for your API per call in USDC. What MCP Actually Does Here MCP (Model Context Protocol) is a protocol for exposing tools and data sources
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Anthropic cuts off the ability to use Claude subscriptions with OpenClaw and third-party AI agents
Are you a subscriber to Anthropic's Claude Pro ($20 monthly) or Max ($100-$200 monthly) plans and use its Claude AI models and products to power third-party AI agents like OpenClaw ? If so, you're in for an unpleasant surprise. Anthropic announced a few hours ago that starting tomorrow, Saturday, April 4, 2026, at 12 pm PT/3 pm ET, it will no longer be possible for those Claude subscribers to use their subscriptions to hook Anthropic's Claude models up to third-party agentic tools, citing the strain such usage was placing on Anthropic's compute and engineering resources, and desire to serve a wide number of users reliably. "We’ve been working hard to meet the increase in demand for Claude, and our subscriptions weren't built for the usage patterns of these third-pa
Docker Model Runner vs Ollama: Local AI Deployment Compared 2026
Docker Model Runner vs Ollama: Local AI Deployment Compared 2026 Docker entered the local AI space. If you are already running models with Ollama, you are now looking at a second option that speaks the same language — literally the same OpenAI-compatible API — but comes from the company that standardized how the world ships software. Docker Model Runner (DMR) shipped with Docker Desktop 4.40 in mid-2025 and has been evolving fast. It uses llama.cpp under the hood, stores models as OCI artifacts on Docker Hub, and integrates directly into Docker Compose workflows. Ollama, meanwhile, remains the default choice for local LLM deployment with 52+ million monthly downloads, a broader model library, and an ecosystem that every AI coding tool already supports. The question is not which tool is obj
How to Publish a Paid API for AI Agents Using MCP and AgenticTrade
How to Publish a Paid API for AI Agents Using MCP and AgenticTrade Most API monetization guides assume your consumers are humans who browse a marketplace, read your docs, and manually configure auth. That assumption is becoming outdated. AI agents do not browse. They query a service registry at runtime, read machine-structured MCP tool descriptors, execute calls autonomously, and handle payment without a human in the loop. The infrastructure for that workflow is what AgenticTrade is building. This article walks through the practical steps to register your API on AgenticTrade — an MCP-native marketplace where AI agents can discover, authenticate, and pay for your API per call in USDC. What MCP Actually Does Here MCP (Model Context Protocol) is a protocol for exposing tools and data sources
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!