Contributing
We are grateful to the contributors who help evolve OpenGPTs and dedicate their time to the project. As the primary sponsor of OpenGPTs, LangChain, Inc. aims to build products in the open that benefit...
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139,095 skills indexed with the new KISS metadata standard.
We are grateful to the contributors who help evolve OpenGPTs and dedicate their time to the project. As the primary sponsor of OpenGPTs, LangChain, Inc. aims to build products in the open that benefit...
LangChain is partnered with huntr by Protect AI to provide
pycache/
We are grateful to the contributors who help evolve LangServe and dedicate their time to the project. As the primary sponsor of LangServe, LangChain, Inc. aims to build products in the open that benef...
We have recently announced LangGraph Platform, a significantly enhanced solution for deploying agentic applications at scale.
"contributors": ["eyurtsev", "hwchase17", "nfcampos", "efriis", "jacoblee93", "dqbd", "kreneskyp", "adarsh-jha-dev", "harris", "baskaryan", "hinthornw", "bracesproul", "jakerachleff", "craigsdennis",...
settings:
"printWidth": 120,
*.log
pnpm 9.4.0
.astro
Bolt.new is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you're here to build you...
Welcome to the Bolt open-source codebase! This repo contains a simple example app using the core components from bolt.new to help you get started building AI-powered software development tools powered...
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pycache/
Creating new posts on our forum for bugs or feature requests is much appreciated!
This document outlines Cursor's vulnerability disclosure policy. For more information about Cursor's approach to security, please visit cursor.com/security.
This repository is a collection of sample applications and Jupyter Notebooks that you can run, download, study and modify in order to get hands-on with
We appreciate your contributions to help us improve and maintain this community resource!
- repo: https://github.com/astral-sh/ruff-pre-commit
.pycache
This example covers the most basic use-case - collection creation and basic vector search.