WordPress plugin that turns Elementor & WordPress into an MCP server. 120+ AI-ready tools for building, editing, and managing page designs programmatically.
Open-source security platform for AI agents -- audits skills before install, monitors 24/7, shares threat intelligence across all users. | AI Agent 開源安全平台 -- 安裝前審計 skill、24/7 即時監控、社群共享威脅情報。
TypeScript · HTML · JavaScript★ 52↓ 2,959/月2026年7月15日
The repo map your coding agent is forced to use — ~98% fewer tokens (up to 99.9% per task) to understand a TS/JS codebase. PageRank hubs, Aider-style symbol ranking, token-budgeted digest, --any router, wired into the agent loop.
Donmai is an open-source workflow runtime that runs, retries, and audits multi-step agent tasks on your machine. The same binary powers Rensei in production. MIT-licensed.
RoboSystems is a financial intelligence platform that unifies structured data, document search, and AI memory to transform complex financial data into actionable intelligence. Fork-ready with full GitHub Actions CI/CD for deploying CloudFormation infrastructure to your AWS account.
Open-source evidence layer for AI governance. Gates every AI agent tool call against your policy and writes a hash-chained execution record an auditor verifies offline, without trusting the operator. Root-agnostic, and binds to a TPM 2.0 or SEV-SNP hardware root when present. Your environment, no SaaS, no telemetry. AGPL-3.0.
Free, open-source MCP server giving AI assistants 17 weather tools — a one-call weather summary plus forecasts, alerts, air quality, marine, radar, lightning, rivers, wildfires, and historical data back to 1940. Ask by city name or coordinates. Built on free public APIs (NOAA, Open-Meteo). No API keys, no signup.
A declarative language that compiles to professional SVG floor plans — like Typst/LaTeX, but for architecture. Built for AI agents: deterministic output, JSON diagnostics that carry their own fix, and a describe/lint channel that verifies a plan against its brief without rendering an image. Zero-dependency TypeScript.
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.
AI agents in Go — Temporal for durable, crash-resilient execution or run in-process with zero setup. OpenAI, Anthropic, Gemini, Deepseek, Ollama, tools, MCP, A2A, RAG, memory, conversations, AG-UI, streaming, sub-agents & human-in-the-loop.
Cognitive Browser: The browser automation that thinks. Constitutional safety • Persona UX testing • Natural language interface • Self-healing selectors • Built for AI agents