--- title: "How to think about agent frameworks" url: https://daily.dev/posts/how-to-think-about-agent-frameworks-w3lcwslqz source_url: https://www.langchain.com/blog/how-to-think-about-agent-frameworks type: article source: "LangChain" published: 2026-07-08T19:23:01.537Z updated: 2026-07-08T19:24:58.277Z tags: ["ai-agents", "langchain", "langgraph"] reading_time: 26 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How to think about agent frameworks **[LangChain](https://daily.dev/sources/langchain)** · 26 min read · 0 upvotes · 0 comments ## Summary A detailed analysis of how to think about AI agent frameworks, written by LangGraph's creator in response to OpenAI's guide on building agents. Covers the distinction between workflows and agents, declarative vs imperative approaches, and why most production agentic systems combine both. Argues that the core challenge in building reliable agents is ensuring the LLM receives the right context at each step, and that most agent frameworks (including OpenAI's Agents SDK) are merely agent abstractions rather than true orchestration frameworks. Positions LangGraph as a low-level orchestration framework with both declarative and imperative APIs, agent abstractions built on top, and production features like persistence, human-in-the-loop, streaming, and fault tolerance. Also includes a comparison spreadsheet of major agent frameworks. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Getting Started with Agentic AI in LangGraph](https://daily.dev/posts/getting-started-with-agentic-ai-in-langgraph-ab1wd94ns) · DigitalOcean Community · 12 upvotes · 0 comments - [How to Build Effective Agentic Systems with LangGraph](https://daily.dev/posts/how-to-build-effective-agentic-systems-with-langgraph-f9gsgsdr8) · Towards Data Science · 18 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#langgraph](https://daily.dev/tags/langgraph) [View this post on daily.dev](https://daily.dev/posts/how-to-think-about-agent-frameworks-w3lcwslqz)