v1.26.0 · MIT
Formerly Better Chatbot. Navigator is an open-source AI workspace for agents, MCP and workflow automation.
v0.0.1-local · Apache-2.0
MCP server that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.
v3.5.0 · Apache-2.0
⚡ The Complete X/Twitter Automation Toolkit — Scrapers, MCP server for AI agents (Claude/GPT), CLI, browser scripts. No API fees. Open source. Unfollow people who don't follow back. Monitor real-time analytics. Auto follow, like, comment, scrape, without API. Follow Bot. Like bot. Grow your account automatically.
— · MIT
The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
v2.9.4 · MIT
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
— · GPL-3.0
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
v0.3.0 · Apache-2.0
Your First LLM-Wiki Conversation Knowledge Base
v1.0.171 · MIT
An Open, Structured, and Standard Registry for MCP Servers and Packages.
— · no license
Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.
— · Apache-2.0
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
— · MIT
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
— · no license
🚀 Universal SDK for building next-gen MCP servers
v1.0.1 · MIT License
Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.
v0.1.0 · MIT License
Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.