Demo agentic ai utils
Agentic AI utils which work with any LLM and TypeScript AI SDK.
GitLab Duo provider for Vercel AI SDK
Agentic adapter for the Vercel AI SDK.
Cloud and zero-trust agentic workflow marketplace for skills, agents, rules, MCP references, and compliance-aware architecture.
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
Dual-protocol payment infrastructure for autonomous AI commerce (AP2 + ACP)
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
Agentic SDK for People Data Labs.
Agentic SDK for the SearXNG meta search engine.
Use Claude, Anthropic's AI assistant, right from your terminal. Claude can understand your codebase, edit files, run terminal commands, and handle entire workflows for you.
MCP server for SAPUI5/OpenUI5 development
General utilities for plugins to use
MCP SDK utilities for Metorial. Provides common utilities and helpers for MCP (Model Context Protocol) integration with AI SDK frameworks.
Utility functions for working with TypeScript's API. Successor to the wonderful tsutils. 🛠️️
Unified LLM API with automatic model discovery and provider configuration
Agentic SDK for Tavily.
webpack Validation Utils
Utilities for ESLint plugins.
Type utilities for working with TypeScript + ESLint together
Utilities for working with TypeScript + ESLint together
Utilities for collecting TSConfigs for linting scenarios.
Shared Vitest utility functions
Agentic SDK for the Exa search engine.
Regent is a library for building AI Agents that utilize tools to accomplish tasks. Current implementation is based on the ReAct Agent architecture.
`agent99` is a Ruby gem designed to facilitate the creation and management of smart agents, providing a straightforward interface for tasks such as natural language processing, context handling, and conversing with various AI models. It allows developers to smoothly integrate and utilize AI capabilities within Ruby applications while ensuring flexibility and ease of customization.