Lad MCP Server: Autonomous code & system design review for AI coding agents (Claude Code, Cursor, Codex, etc.). Features multi-model consensus via OpenRouter and context-aware reviews via Serena.

Declarative Agent Orchestration. Ship while you sleep.

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need throu

The agent engineering platform

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

Benchmarking the gap between AI agent hype and architecture. Three agent archetypes, 73-point performance spread, stress testing, network resilience, and ensemble coordination analysis with statistica

Self improving agents through iterations

Universal memory layer for AI Agents

AI-powered development framework with task management, 41 agents, 83 skills, and MCP tools for Cursor, Claude Code, Gemini, Codex & OpenCode. File-based memory that survives across sessions.

基于 AI Agent 工作流的修仙世界模拟器，旨在还原智能、开放的仙侠世界。| An open-source Cultivation World Simulator using Agentic Workflow to create a dynamic, emerging Xianxia world.

The agent that grows with you

Open-source Python, TypeScript, and Go SAST with dead code detection. Finds secrets, exploitable flows, and AI regressions. VS Code extension, GitHub Action, and MCP server for AI agents.

Self-hosted orchestration layer for autonomous AI agent teams. Shared memory, heartbeat scheduling, vault-first secrets, and cross-model peer review — one command to deploy.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of ta

Agent Package Manager

YAO = Yielding AI Outcomes. A lightweight but rigorous system for creating, evaluating, packaging, and governing reusable agent skills.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

The conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

The Google Ads MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models (LLMs), such as Gemini, to interact directly with the Google Ads API.

A Claude Code skill that turns your Obsidian vault into a living second brain — autonomous writes, thinking tools, knowledge ingestion, scheduled agents, and _CLAUDE.md for cross-surface context.

ArifOS — Constitutional MCP kernel for governed AI execution. AAA architecture: Architect · Auditor · Agent. Built for the open-source agentic era.

Semantic code search for AI agents — 166+ languages, hybrid search, works offline

Evaluation and Tracking for LLM Experiments and AI Agents

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Cop

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

The production runtime for AI agents. Schema in, API out. Built on PydanticAI + FastAPI.

The Linux OS for AI Agents — Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.

Ship customer-facing AI with isolation, spend controls, and provenance.

JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2

LLM proxy to observe and debug what your AI agents are doing.

Workspace Architect is a zero-friction CLI tool that provides curated collections of specialized agents, instructions, and prompts to supercharge your GitHub Copilot experience.

Describe it or draw it. Kiln makes it real. — 461 MCP tools for AI-agent-controlled 3D printing. OctoPrint, Moonraker, Bambu Lab, Prusa Link, and Elegoo.

A structured multi-agent framework for coordinated AI collaboration

The building blocks of an enterprise adoption framework for agentic coding — technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflo

🔌 Access multiple databases seamlessly with SQLTools MCP, a versatile service supporting MySQL, PostgreSQL, SQL Server, DM8, and SQLite without multiple servers.

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

HippocampAI — Autonomous Memory Engine for LLM Agents

🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.

🌟 Track token consumption in real-time with MCP Audit. Diagnose context bloat and unexpected spikes across MCP servers and tools efficiently.

Self-hosted autonomous AI agent — runs on your PC, controls your environment, connects to any MCP server.

🔍 Automate research tasks with the Autonomous Research Agent, utilizing intelligent queries and parallel searches to create concise, comprehensive reports.

Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe

🚀 Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.

🔍 Build a production-ready RAG system that combines LangGraph and MCP integration for precise, context-aware AI-driven question answering.

🧠 Qualify leads with an AI-driven system that understands intent, asks key questions, and structures quality leads without hardcoding processes.

🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt

📷 Transform any camera into ROS2 image topics for seamless integration with robotic systems and effective VLA model deployment.

Protect AI agents by detecting and blocking prompt, command injection, Unicode bypass, and social engineering attacks with customizable security controls.

Enable any language model with permanent, searchable memory using a lightweight middleware for on-demand retrieval and continuous learning.

Lightweight coordination server for autonomous AI coding agents — task claiming, file locks, message passing, and health monitoring over REST

🚀 Explore high-quality skills for SpoonOS, Web3, AI productivity, and enterprise tooling with 57+ curated Python scripts across multiple challenge tracks.

📄 Enable smart document and data search with AI-powered chat, vector search, and SQL querying across multiple file formats.

🛠️ Install, manage, and share Claude Code skills effortlessly with one command, streamlining your workflow and enhancing team collaboration.

🤖 Explore AI agent architectures with agentic-ai, featuring ReAct agents, reflection-based designs, and modular LLM integrations using LangChain and LangGraph.