Maker Shoutouts

Testimonials from top launches

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Louis-Nicolas Roussel used this to build

Mixture of AI

(395 points)

AI framework for handling multiple LLMs

1mo ago

Gokul Saravanan used this to build

Fenado AI

(366 points)

LangChain’s suite of products supports AI development We orchestrate all our AI agents using Langchain - it has been integral to our development.

16d ago

Khachatur Virabyan used this to build

Trag

(1,526 points)

Whatever you build with AI, there is something useful in Langchain's tool set.

3mo ago

Karan Vaidya used this to build

SWE-Kit

(1,166 points)

LangGraph by LangChain made it possible to design the agentic workflow as state-graphs providing greater control and reliability. Also, LangSmith for observabilty of the Agentic actions.

3mo ago

Moe Ayman used this to build

TIXAE Agents -

(89 points)

Powering our backend.

14d ago

Dongho Yee used this to build

Symphony

(150 points)

Easily build any tools and assign it to AI.

27d ago

Dimitris Kargatzis used this to build

Warestack

(477 points)

LangGraph powers our assistant with robust capabilities. With support for over 15 tools, including an extensive GitHub toolkit, our assistant offers seamless out-of-the-box integration to handle almost every operation with confidence.

2mo ago

Gokul Saravanan used this to build

Fenado AI

(348 points)

We orchestrate all our AI agents using Langchain - it has been integral to our development.

2mo ago

Steven Oh used this to build

Lookie AI: Make YouTube Your Brain

(717 points)

It makes connecting complex data sources so much easier and faster.

4mo ago

Abhishek Gupta used this to build

CostGPT

(597 points)

We used langchain framework both for it's library agnostic methods for various AI platforms, as well as various helpers such as document parsers, chunking utilities, e.t.c. Moreover it has great agentic development support with langgraph. As an alternative we could have used OpenAI APIs directly however due to its fast changing nature, and also because we don't plan to depend on it long-term, it was better to go with langchain.

5mo ago

Fenil Suchak used this to build

OpenFunnel(YC F24)

(178 points)

Langgraph Studio helps us easily build and ideate agents

2mo ago

Mehmet Bartu used this to build

GPT Computer Assistant(GCA) | 5K Star

(588 points)

We use it to establish connections with LLMs and create agents.

7mo ago

Michael Seibel used this to build

Lune AI

(157 points)

Has an amazing collection of various integrations that make working with different vector databases and models a breeze.

2mo ago

Muhammad Ahmad used this to build

Clones

(389 points)

Context-aware reasoning for LLMs with LangChain.

5mo ago

Keyana Sapp used this to build

Indigo

(435 points)

Huge thanks to LangChain for helping us build Indigo’s seamless AI integration and powerful command features! 🚀

5mo ago

Steven Renwick used this to build

Tilores

(308 points)

We chose to integrate with LangChain as it is the leading LLM framework. We are happy that it was so straightforward to integrate with LangChain and build some use cases already.

5mo ago

Chris Messina used this to build

8base

(499 points)

Archie builds all interactions with LLM using Langchain. We evaluated multiple frameworks and even worked directly with vendors' API, but quickly realized that investing in Langchain would allow us to leverage a robust ecosystem. These days, it is pretty simple for our AI labs to switch prompts, sequences, LLM, and agents, given the framework's flexibility.

6mo ago

Yuvraj Dagur used this to build

Clevrr Computer [Open-source]

(144 points)

The whole Agent Architecture is based on Langchain's ReAct Agent, which allows model changes without changing the rest of the code.

3mo ago

Aditya Lahiri used this to build

OpenFunnel(YC F24)

(162 points)

Langgraph studio for agents, Langsmith for observability, Langgraph Cloud for hosting

4mo ago

Michael Seibel used this to build

Datrics - AI Data Analyst

(293 points)

We want to give a huge shoutout to Langchain’s Langsmith for being an invaluable tool in our arsenal. Langsmith has significantly enhanced our ability to monitor, debug, and fine-tune our agent logic. Its robust features have streamlined our workflow and improved our efficiency. We’re excited to announce that soon we’ll be enabling our users to connect their own Langsmith projects, offering enhanced traceability and insight into how their agents operate. Stay tuned for more updates!

6mo ago