Give your LangGraph agent real-time web data with Apify
Connect a LangGraph agent to Apify through the official langchain-apify integration or Apify MCP Server, and give it real-time web search, scraping, and social media data.
Apify Blog13 min read
LangGraph
104 stories
Best tools for monitoring AI agents at scale
You’re here because you already know you need to monitor your AI agents. Maybe you’ve looked at LangSmith, Langfuse, Arize, or Braintrust, and now you’re...
Opencontroller by lyzr Blog6 min read
Best Tools for AI Agent Governance (2026)
Your AI governance policy is a PDF. The agent that just approved the payment never opened it, and the dashboard that flagged the problem did...
Opencontroller by lyzr Blog22 min read
From Hours to Minutes: Automating Data Debug with Multi-agent Systems
From Hours to Minutes: Automating Data Debug with Multi-agent Systems The Data Debugging Grind My engineers typically spend 30% of their time debugging data. On some days, that number climbs to 50% …
Towards AI4 min read
10 Best Tools for AI Compliance and Audit Trails
Your auditor wants to know which AI agents touched customer data last quarter. Who approved each one into production. Which guardrail violations got flagged, and...
Opencontroller by lyzr Blog13 min read
Build a documentation chatbot with LangChain, OpenAI, Pinecone, and Apify
Your users know the answer is somewhere in the docs, but they’re still stuck. Build an AI chatbot that helps them find the right instructions and figure out what to do next.
Apify Blog14 min read
Building Production Agents with Jev and LangGraph
See how LangGraph orchestrates Jev, TypeSafe AI's decision model, to build faster, cheaper production agents.
LangChain Blog8 min read
Vertex AI Agent Builder Alternatives: 8 Simpler Options
8 Vertex AI Agent Builder alternatives that are cheaper or simpler: BetterClaw, n8n, Gumloop, CrewAI, Lindy, LangGraph, OpenRouter and AWS AgentCore.
BetterClaw Blog13 min read
How to Give an LLM Long-Term Memory, and Why RAG Alone Is Not It
You give an LLM long-term memory by adding a layer outside the model that decides what is worth keeping from each conversation, stores it against the right person, updates it when a fact changes, and puts only the relevant slice back into the prompt on the next call.
Maximem Synap Blog19 min read
How to Add Conversational Memory to a LangChain App (2026 Guide)
To add conversational memory to a LangChain app today, pass a checkpointer to create_agent and reuse one thread_id per conversation; to remember a person across conversations, add a LangGraph store or plug in Maximem Synap through the maximem-synap-langchain package.
Maximem Synap Blog21 min read
Short-Term vs Long-Term Memory in LLMs, and What "Context Memory" Actually Means
Short-term memory in an LLM is whatever sits in the context window on the current call: the system prompt, the recent conversation, tool results and any retrieved text, all re-sent by the application on every request and gone when the request ends.
Maximem Synap Blog16 min read
9 Essential Claude Skills for AI Engineers Building Production Agents + 1 Bonus Skill
Nine Claude Skills we run in production, plus one bonus, with the install command for each and what it saves you. Updated September 2026.
Maximem Synap Blog11 min read
Trajectories now in LangSmith: A readable view of every agent session
Trajectories in LangSmith provide a conversational view of an agent session. Trajectories make trace data easy to navigate and speed up debugging for long-running agents.
LangChain Blog5 min read
The Reliability Layer for Healthcare AI: Common LangSmith Use Cases
See how LangSmith helps healthcare AI teams turn clinical review into reusable evaluators, datasets, and release gates for safer AI in production.
LangChain Blog9 min read
Best Chatbot Memory Layer Plugins for Persistent User Data Retention and Memory
The best chatbot memory layer plugin captures durable user information, stores it with the right scope, retrieves only the relevant part of it, and updates or deletes it reliably.
Maximem Synap Blog15 min read
Introducing AI Drift Detection: Find What Changed in Your Production Agents
Finding a production issue should not mean hours filtering traces. The Drift page automatically versions each agent configuration, surfaces anomalies and regressions, and shows exactly where each change is concentrated.
Confident AI (DeepEval)4 min read
Agentic AI vs Generative AI: From Prompt-Response to Autonomous Execution Architectures
The debate between agentic AI vs generative AI centers on the shift from content creation to autonomous execution. Generative AI creates text, images, and software code based on specific prompts. In contrast, agentic AI pursues goals independently by...
ClickRank Blog21 min read
I Traced One Request Through an AI Agent (Step by Step)
Most explanations of agentic AI systems stay at a high conceptual level. In this video, I trace a single user request step-by-step through a production-level agentic AI state machine from start to finish. I break down the three core components that make AI agents deterministic and reliable: 1.
The One AI Architect
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