Extensible agent framework with memory, toolkits, multi-agent workflows, and MCP tool integration for scalable automation.

An MCP server leveraging an external oversight layer to "vibe check" agents, and also self-improve accuracy & user alignment over time. Prevents scope creep, code bloat, misalignment, misinterpretation, tunnel vision, and overcomplication.

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

ZenML MCP server exposes live ZenML pipelines and deployments via MCP, enabling seamless LLM context with artifacts, models, and runtime status.

Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 14 platforms

NoteGen is a cross-platform Markdown note app with AI-assisted writing, native RAG knowledge base, and flexible MCP-based extension.

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

Curated collection of practical AI agent examples with memory and RAG integrations for rapid, scalable development.

Simple Web UI to install and manage MCP servers for Claude Desktop by Zue

The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.

MCP server for helping automation control your computer complete your pre-setting task.

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

Self-hosted semantic search with vector/RAG, RAG API, and flexible LLM integration.

This MCP server enables LLMs to interact with the Solana blockchain with help of Solana Agent Kit by SendAI, allowing for 40+ protocol actions and growing

From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration with MCP and live tracing. Three runtime dependencies.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

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 Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0

Python framework for building autonomous and traditional agents with MCP tool integration, OCR support, prebuilt agents, and sandboxed execution.

Unified open-source AI agent platform blending tool calling, skills, ACP integration, and remote control across multiple LLM providers.

A multi-model AI agent desktop client — connect any AI provider, extend with MCP & skills, control from your phone. Built with Electron + Next.js.

Enterprise AI assistant platform enabling multi-agent collaboration, RAG-powered knowledge, and visual workflow orchestration with tool integrations.

Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.

"Vibe-Trading: Your Personal Trading Agent"

The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents