Developer tools · agent framework
LangChain
Recommended for easy switching between LLM providers and many integrations; critics find it bloated, overly abstract, and built for older models.
Summarized from 126 comments.
Recommended for easy switching between LLM providers and many integrations; critics find it bloated, overly abstract, and built for older models.
- recommend
- 32
- criticize
- 79
- months recommended
- 10 of 13
- median owned, 3 owners said
- 1 year
Why people love it
Unified API across LLM providers · 4
I could maybe see that being the case for LangChain, specifically, if you're just thinking about abstracting the LLM provider's APIs.
Sep 2026 · commentfor all the crap that LangChain gets it at least has its own layer for upstream LLM provider calls
Mar 2026 · commentI appreciate having a unified API across providers
Jun 2026 · commentGood starting point for prototypes · 2
The prototype worked great: chain a few calls together, get a response and it felt like we were basically done.
Mar 2026 · commentLangchain is a decent place to start if starting from scratch.
Dec 2025 · commentBuilt-in prompts and common facilities · 2
they do have good prompts backed into the framework
Dec 2025 · commentwhich already has most of the facilities for that
Nov 2025 · commentUsed in production for complex needs · 2
The company I work for uses LangChain heavily, but that's because we have fairly complex requirements
Feb 2026 · commentIt’s deployed and doing what everyone needs it to do.
Dec 2025 · comment
What people warn about
Bloated and adds unnecessary complexity · 4
LangChain is definitely a bloated mess, but it provides structure
Feb 2026 · commentcrazy complex prompt composers (langchain) that don't need to exist any more because the underlying model got so much better
Apr 2026 · commentmost of the functionality actually adds more code to use than simply writing my own direct API LLM calls
Dec 2025 · commentDesigned for older models, outdated · 3
crazy complex prompt composers (langchain) that don't need to exist any more because the underlying model got so much better
Apr 2026 · commentlangchain is stuck in innovator dilemma - it was built for gpt 3.5, or 4, it needs a different design for todays models
Feb 2026 · commentthere used to be a whole complex apparatus around getting models to do chain of thought reasoning, e.g., LangChain
Nov 2025 · commentChanges too fast, unstable · 3
agents are easy until you build a whole application using an API endpoint that OpenAI or LangChain decides to yank
Nov 2025 · commentit was evolving so fast that even the latest ai models didn't have even remotely up to date information on it
Dec 2025 · commentI am afraid it will all go in the LangChain direction with VC funding designs that are not yet ready
Apr 2026 · comment
What hackers pick instead
- Claude Agent SDKDevelopers praise it for building agents on top of Claude Code at a predictable cost. Critics agree the main caveat is Anthropic's shifting rules on using subscriptions with it.36recommend
- MastraOpen-source TypeScript framework for building AI agents, praised for workflow primitives and developer experience. Common caveat: its opinionated patterns can slow you down when your project doesn't fit them.32recommend
- LangGraphRecommended for deterministic, stateful agent workflows with graph-based control, human-in-the-loop and time travel. Critics find it rigid and overly complex for simple tasks.31recommend
- DSPyPeople use it to structure LLM calls as typed programs and optimize prompts. Critics say its value depends on a good automated metric and up-front setup.29recommend
- Pydantic AIDevelopers like it for handling the tool-call loop, structured outputs and typed LLM calls with little to learn. Caveat: good observability requires the paid SaaS.27recommend
Every quote
The 40 most detailed of 126 comments. Each links to the original.
I could maybe see that being the case for LangChain, specifically, if you're just thinking about abstracting the LLM provider's APIs.
Mixed · Sep 2026 · in “Show HN: Pizza Bot – An inbox for AI agents that work in the background”
The prototype worked great: chain a few calls together, get a response and it felt like we were basically done.
Mixed · Mar 2026 · in “LangChain is powerful, but running it in production isn't”
The company I work for uses LangChain heavily, but that's because we have fairly complex requirements
Recommends · Feb 2026 · in “Does anyone use CrewAI or LangChain anymore?”
for all the crap that LangChain gets it at least has its own layer for upstream LLM provider calls
Mixed · Mar 2026 · in “LiteLLM Python package compromised by supply-chain attack”
LangChain is definitely a bloated mess, but it provides structure
Mixed · Feb 2026 · in “Your Agent Framework Is Just a Bad Clone of Elixir”
Langchain is a decent place to start if starting from scratch.
Recommends · Dec 2025 · in “Ask HN: What framework/tool should I use for building agents?”
It’s deployed and doing what everyone needs it to do.
Mixed · Dec 2025 · in “All I Want for Xmas Is Your Secrets: LangGrinch Hits LangChain (CVE-2025-68664)”
they do have good prompts backed into the framework
Mixed · Dec 2025 · in “All I Want for Xmas Is Your Secrets: LangGrinch Hits LangChain (CVE-2025-68664)”
I appreciate having a unified API across providers
Mixed · Jun 2026 · in “Haystack: Open-Source AI Framework for Production Ready Agents, RAG”
which already has most of the facilities for that
Recommends · Nov 2025 · in “Launch HN: Onyx (YC W24) – Open-source chat UI”
langchain makes it easy to switch LLMs
Mixed · May 2026 · in “Ask HN: Which LLM are you using to evaluate your ideas?”
crazy complex prompt composers (langchain) that don't need to exist any more because the underlying model got so much better
Criticizes · Apr 2026 · in “Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving”
langchain is stuck in innovator dilemma - it was built for gpt 3.5, or 4, it needs a different design for todays models
Criticizes · Feb 2026 · in “Cord: Coordinating Trees of AI Agents”
agents are easy until you build a whole application using an API endpoint that OpenAI or LangChain decides to yank
Criticizes · Nov 2025 · in “You should write an agent”
there used to be a whole complex apparatus around getting models to do chain of thought reasoning, e.g., LangChain
Criticizes · Nov 2025 · in “Agent design is still hard”
it was evolving so fast that even the latest ai models didn't have even remotely up to date information on it
Criticizes · Dec 2025 · in “Ruby 4.0.0 Released”
most of the functionality actually adds more code to use than simply writing my own direct API LLM calls
Criticizes · Dec 2025 · in “All I Want for Xmas Is Your Secrets: LangGrinch Hits LangChain (CVE-2025-68664)”
I am afraid it will all go in the LangChain direction with VC funding designs that are not yet ready
Criticizes · Apr 2026 · in “Show HN: Atomic – Local-first, AI-augmented personal knowledge base”
Because it tries to solve non existent problems (prompt templates for example) and adds complexity
Criticizes · Dec 2025 · in “All I Want for Xmas Is Your Secrets: LangGrinch Hits LangChain (CVE-2025-68664)”
We have excellent "Actuators" (LangChain, Vector DBs) that execute actions, but they are blind to meaning.
Mixed · Dec 2025
A lot of AI-adjacent libraries we've been using finally hit v1.0.0 this year, or creeping close to it
Recommends · Dec 2025 · in “A new AI winter is coming?”
LangChain/Python is the least set up to take advantage of strong schemas even when you do have it.
Mixed · Dec 2025 · in “All I Want for Xmas Is Your Secrets: LangGrinch Hits LangChain (CVE-2025-68664)”
langchain (despite its shortcomings) with its plethora of integrations makes things easier to do
Mixed · Dec 2025 · in “Ask HN: What agent frameworks are you using, and how well do they work?”
Even Langchain, for all the (deserved) criticism it gets made this very clear very early
Mixed · Jun 2026 · in “Apache Burr: Build reliable AI agents and applications”
Langchain is close but still feels a bit abstract and DIY.
Mixed · Apr 2026 · in “Claude Managed Agents”
I think mine is coded to a higher standard than litelm.
Recommends · Sep 2026 · in “Litelm: LiteLLM Without the Bloat”
I haven't touched LangChain in a long, long time
Mixed · May 2026 · in “DeepSeek reasonix, engineered for low token cost during long running sessions”
now seems React agents are in LangChain
Mixed · Nov 2025 · in “Agent design is still hard”
will retain usefulness into the future
Recommends · Jul 2026 · in “Claude Cookbook”
the python version which is superior
Recommends · Nov 2025 · in “Ask HN: What agentic framework do you use?”
it works pretty well on a 16G GPU
Recommends · Jan 2026 · in “Ask HN: How are you doing RAG locally?”
they are inherently rigid
Mixed · Feb 2026 · in “Cord: Coordinating Trees of AI Agents”
A critical LangChain core bug can turn a single LLM prompt into a secret-exfiltration or object-instantiation exploit.
Criticizes · Jan 2026
it took our dev maybe six weeks of struggling with LangChain to approximate what Claude + MCP server can do today
Criticizes · Sep 2026 · in “Muse Spark 1.3”
I have yet to see anything produced by multi-agent frameworks (langchain or bespoke works) that produced value.
Criticizes · May 2026 · in “Multi-Agent is a snake oil”
ever after the LangChain situation I can see that what is adopted is always something that has a lot of flows
Criticizes · Apr 2026 · in “Do I belong in tech anymore?”
if Anthropic themselves arent using it and using a prompt then what’s the big deal about langchain
Criticizes · Mar 2026 · in “The Claude Code Source Leak: fake tools, frustration regexes, undercover mode”
It was just first to market, then after a short while most realized it's horrifically architected
Criticizes · Mar 2026 · in “If Dspy is so great, why isn't anyone using it?”
There's ones that do not serve your use case, eg what was obviously day one regarding Langchain.
Criticizes · Jun 2026 · in “Apache Burr: Build reliable AI agents and applications”
LangChain trying to be the Next.js/Vercel of agents but everyone recommending building your own
Criticizes · Apr 2026 · in “Claude Managed Agents”
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