Create and configure LangChain agents using create_agent, including tool selection, agent loops, stopping conditions, and middleware integration for Python.
2
AI 95
langchain-agents
christian-bromann2/14/2026
Create and use LangChain agents with createAgent - includes agent loops, ReAct pattern, tool execution, and state management
2
AI 94
deepagents-filesystem
christian-bromann2/14/2026
Using FilesystemMiddleware with virtual filesystems, backends (State, Store, Filesystem, Composite), and context management for Deep Agents.
2
AI 93
deepagents-todolist
christian-bromann2/14/2026
Using TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex multi-step workflows.
2
AI 92
langgraph-workflows
christian-bromann2/14/2026
Understanding workflows vs agents, predetermined vs dynamic patterns, and orchestrator-worker patterns using the Send API
2
AI 92
deepagents-todolist
christian-bromann2/14/2026
Using TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex multi-step workflows.
2
AI 91
langchain-embeddings
christian-bromann2/14/2026
Guide to using embedding model integrations in LangChain including OpenAI, Azure, and local embeddings
2
AI 90
langchain-human-in-the-loop
christian-bromann2/21/2026
Implement human-in-the-loop workflows with interrupts, approvals, Command for resuming, and HITL middleware patterns for JavaScript/TypeScript.
2
AI 88
langchain-rag
christian-bromann2/14/2026
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting
2
AI 87
langchain-tools
christian-bromann2/14/2026
Define and use tools in LangChain - includes @tool decorator, custom tools, built-in tools, and tool schemas
2
AI 84
deepagents-subagents
christian-bromann2/14/2026
Using SubAgentMiddleware to spawn subagents for task delegation, context isolation, and specialized work in Deep Agents.
2
AI 82
langgraph-graph-api
christian-bromann2/14/2026
Building graphs with StateGraph, nodes, edges, START/END nodes, and the Command API for combining control flow with state updates
2
langchain-streaming
christian-bromann2/14/2026
Stream outputs from LangChain agents and models - includes stream modes, token streaming, progress updates, and real-time feedback
2
langchain-chat-models
christian-bromann2/14/2026
Guide to using chat model integrations in LangChain including OpenAI, Anthropic, Google, Azure, and Bedrock
2
langchain-models
christian-bromann2/14/2026
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
2
langchain-tool-calling
christian-bromann2/14/2026
How chat models call tools - includes bind_tools, tool choice strategies, parallel tool calling, and tool message handling
2
deepagents-memory
christian-bromann2/14/2026
Implementing long-term memory in Deep Agents with cross-session storage using StoreBackend, CompositeBackend, and InMemoryStore for persistent data.
2
langgraph-graph-api
christian-bromann2/14/2026
Building graphs with StateGraph, nodes, edges, START/END nodes, and the Command API for combining control flow with state updates
