Ai Agents AI Agent Skills

Shodh-Memory Persistent memory for AI agents. Single binary. Local-first. Runs offline. We built this because AI agents forget everything between sessions. They make the same mistakes, ask the same questions, lose context constantly. Shodh-Memory fixes that. It's a cognitive memory system—Hebbian learning, activation decay, semantic consolidation—packed into a single ~17MB binary that runs offline

A local-first CLI that orchestrates multi-agent AI workflows for software development. Give it a task — or feed it your specs, PRDs, and guidelines — and it coordinates specialized agents to architect, code, review, test, and ship automatically. No cloud dependency. Bring your own API keys. Your code stays on your machine. Each stage uses a specialized AI agent with tuned prompts and parameters. T

Watch AG-UI + LangChain demo - SSE - Server-Sent Events for connection state and observability updates - Flexible Storage - Redis, SQLite, File System, or In-Memory backends - Serverless - Works in serverless environments (Vercel, AWS Lambda, etc.) - React Hook - useMcp hook for easy React integration - Vue Composable - useMcp composable for Vue applications - MCP Protocol - Support for tools, pro

cognee‑mcp - Run cognee’s memory engine as a Model Context Protocol server Join Discord Join r/AIMemory Build memory for Agents and query from any client that speaks MCP – in your terminal or IDE. - Multiple transports – choose Streamable HTTP --transport http (recommended for web deployments), SSE --transport sse (real‑time streaming), or stdio (classic pipe, default) - API Mode – connect to an a

Use when the user wants to find, evaluate, audit, or install an open-source AI agent skill or MCP server — e.g. "find an MCP server for Postgres", "is this skill safe to install", "what should I use to scrape a website". Searches a quality-scored, security-graded catalog of ~20K skills locally (cached index, zero backend load) and returns each result's security grade, quality score, and install commands so you can check trust BEFORE installing.

A Model Context Protocol (MCP) server for YouTube integration. Retrieve video transcripts, details, and metadata using YouTube's Data API. Get instant access to YouTube with our managed infrastructure - no setup required: 🔗 Get Free API Key → API Key Setup: Get your YouTube Data API key from the Google Cloud Console and enable the YouTube Data API v3. - Video Transcripts: Retrieve full video tran

A Model Context Protocol (MCP) server that provides access to all the curated awesome lists and their items. It can provide the best resources for your agent from sections of the 8500+ awesome lists on github and more then 1mn+ (growing) awesome row items. What are Awesome Lists? Awesome lists are community-curated collections of the best tools, libraries, and resources on any topic - from machine

🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management feature

Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)

The firewall for AI agents. Open-source policy enforcement for MCP. Website: policylayer.com Intercept is a deterministic enforcement proxy for the Model Context Protocol (MCP). It sits between an AI agent and an MCP server, evaluating every tools/call request against YAML-defined policies. Violating calls are blocked at the transport layer before reaching the upstream server. MCP gives AI agents

A self-hosted investment decision engine built for modern AI agents. Multi-agent information isolation and cross-challenge protocol, providing an auditable decision trail (Audit Trail). Full Architecture Wiki · 中文版 OpenInvest is a self-hosted investment decision engine built for modern AI agents. It provides a verifiable investment committee, evidence-based reasoning, long-horizon backtest

Give Claude Code a browser that thinks. An MCP server that connects Claude Code to Perplexity Comet - enabling agentic web browsing, deep research, and real-time task monitoring. Existing web tools for Claude Code fall into two categories, both with limitations: Return static text. No interaction, no login, no dynamic content. Great for quick lookups, but can't navigate complex sites or fill forms

Publish the package to npmjs by bumping version, building, and creating a GitHub release

Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify). Deep Socratic exploration of a feature idea before implementation. Asks questions one at a time, proposes 2-3 alternative approaches with trade-offs, presents design section-by-section for approval, and saves an approved design document. Use when starting a new feature, exploring an idea, or before writing a spec.

This MCP server allows AI to use a number of functions from our REST API. For example, it can create, modify, and delete different aspects of Liveblocks such as rooms, threads, comments, notifications, and more. It also has read access to Storage and Yjs. Learn more in our docs. To install automatically, copy your Liveblocks secret key from a project in your dashboard and run one of the following

Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks to add a note, list notes, search notes, or manage note folders.

See a feature you like. Understand how it works, down to the binary level. Quick start · Current status · Investigation model · 70 tools · Roadmap · How it works npm install --global rea-agents && rea setup See a feature in an app that you want in your own product? Give the app to your agent—even without its source code. With REA, the agent can investigate the

A comprehensive Model Context Protocol (MCP) server for the Starknet blockchain. This server provides AI agents with the ability to interact with Starknet networks, query blockchain data, manage wallets, and interact with smart contracts. - Supported Networks - Prerequisites - Installation - Server Configuration - API Reference - Resources - Usage with AI Assistants - Security Considerations - Pro

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v

🔴 myinstants-mcp give your AI agent a soundboard. no cap. millions of sound buttons · zero config · just vibes ✨ an MCP server that connects AI agents to myinstants.com — the internet's largest soundboard. millions of meme sounds, vine booms, fart noises, anime clips, gaming sfx, whatever you need bestie. your AI agent can now: - 🔍 search any sound on myinstants - 🔴 smash that button and play i