The crew and its repository The viewer replays agentmon, a repository that runs on one machine with Docker Compose. The crew: four CrewAI agents, one topic at a time ( crew/). Planner: plans a short report on the topic. Researcher: finds three facts with its search tool. Writer: writes one paragraph from the facts. …

A container's isolation is only as strong as the code that serves its syscalls. With runc, that code is the host kernel, shared by every container on the node: namespaces, cgroups and seccomp are checks inside it; one bug in a syscall path the container can reach is code execution in the host kernel. A sandboxed …

A LangGraph agent is a graph that runs only while our program calls it. The chat server, our program behind the chat window, calls the graph once per turn: graph.invoke(input, config). input: what is new, such as the user's message, or the answer to an interrupt. config: the thread_id, one per conversation, and …

MCP, the Model Context Protocol, is a standard way for an agent to use tools that live on someone else's server. An MCP server is a running program, listening for connections, that holds the real tools. The agent's MCP client is a mediator: each of its tools is a stand-in that forwards a call to the real tool on its …

Example motivation A shop's support agent handles refund requests, and a refund moves money: that is where the model should not be the one deciding. The model reads the customer's message: is it a refund request, which order, what reason. Only a model can read free text. Our code decides: it looks the order up in the …

RAG, retrieval-augmented generation, is text our code adds to a prompt before the model sees it. The agent searches the user's notes on every prompt, and puts the closest passages in front of it. The model answers from what the request holds. It still makes every decision: call a tool, or answer. The agent, the loop …

An AI agent is a program that runs a loop around a model. The user types a prompt. The model makes every decision: call a tool, or answer. The agent carries out the decisions, and keeps the conversation. A program around a model is also called its harness. The top bar picks the API: Anthropic Messages or OpenAI Chat …

On this page: What the retrieval half of langchain-core is Index Pinned version: langchain-core==1.6.3 (released 2026-09-11) — the same package as the langchain-core reference; that page covers the chat and tool types, this one covers the retrieval types. Two extras are needed for the examples: numpy (resolved to …

On this page: What langchain-text-splitters is Index Pinned version: langchain-text-splitters==1.1.2 (released 2026-04-16; it is the version pip resolves beside langchain-core==1.6.3, and its only requirement is langchain-core<2.0.0,>=1.2.31). Everything below was derived by inspecting this exact installed package, …

Interactive views Simple Loop AI Agent — a prompt, the model's tool calls and the answer, with the JSON of every request, the context window, and a skill RAG AI Agent — the agent searches the notes on every prompt and puts what it finds in front of it, before the model sees it MCP AI Agent — tools on other companies' …