Find agent skills by outcome

API Getting Started

This documentation covers how to get started with the API that backs OpenGPTs.

🦜️🏓 LangServe

Contributing

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...

Byte-compiled / optimized / DLL files

pycache/

LangGraph Platform Migration Guide

We have recently announced LangGraph Platform, a significantly enhanced solution for deploying agentic applications at scale.

Security Policy

LangChain is partnered with huntr by Protect AI to provide

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"contributors": ["eyurtsev", "hwchase17", "nfcampos", "efriis", "jacoblee93", "dqbd", "kreneskyp", "adarsh-jha-dev", "harris", "baskaryan", "hinthornw", "bracesproul", "jakerachleff", "craigsdennis",...

lockfileVersion: '9.0'

settings:

Untitled Skill

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...

pnpm-lock.yaml

.astro

{

"printWidth": 120,

logs

*.log

nodejs 20.15.1

pnpm 9.4.0

Untitled Skill

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...

root = true

[*]

Untitled Skill

Byte-compiled / optimized / DLL files

pycache/

Vulnerability Disclosure Policy

This document outlines Cursor's vulnerability disclosure policy. For more information about Cursor's approach to security, please visit cursor.com/security.

Cursor

Creating new posts on our forum for bugs or feature requests is much appreciated!

Contributing to Pinecone Examples

We appreciate your contributions to help us improve and maintain this community resource!

repos:

- repo: https://github.com/astral-sh/ruff-pre-commit

!Long term memory for Artificial Intelligence

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

.DS_Store

.pycache

Quick Start

This example covers the most basic use-case - collection creation and basic vector search.