— · no license
Adversary simulation and Red teaming platform with AI
— · Apache-2.0
Network Sketcher is an AI-ready network design tool with Local MCP, Online, and Offline editions for creating network designs and exporting PowerPoint diagrams and Excel-based configuration data.
— · no license
The most advanced, fully offline client-side AI suite on Android today.
v0.3.1 · MIT
High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.
— · Apache-2.0
deep, reliable and confidential coding-context
— · MIT
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
— · 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.
v0.1.0 · no license
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
v0.3.1 · MIT
Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.
— · AGPL-3.0
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
— · no license
372 AI skills, 76 expert agents, and 867 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, and research. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.
— · MIT
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
— · Apache-2.0
A lightweight, modular Java application framework for web and CLI development, designed for AI integration and plugin-based architecture. Enabling developers to create robust solutions with ease for building efficient and scalable applications.
— · Apache-2.0
An instruction layer for AI coding agent
— · MIT
lunar.dev: Agent native MCP Gateway for governance and security
v0.45.0 · Elastic-2.0
The CLI for IronBee — Verification and Intelligence Layer for Agentic Development
— · AGPL-3.0
Open-source HCM system for managing HR processes with AI agents. Full data ownership, MCP/A2A-native, no vendor lock-in.
— · Apache-2.0
Open-source, self-hosted control plane for OpenClaw and Hermes AI-agent fleets on Docker/Kubernetes — REST, CLI, and MCP.
v0.4.0 · SEE LICENSE IN LICENSE.md
A real design engine for your AI agent: generate designs and print-ready PDFs, over MCP.
— · no license
Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.
v0.5.1 · MIT
会话接力 SessionRelay — 属于项目、不属于任何厂商的本地记忆层(跨 Agent 会话记忆 / 中文检索 / MCP / HOP 交接协议)
— · GPL-3.0
A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.
v1.9.2 · MIT
Permission hooks for AI coding agents: route tool approvals through Pushary push notifications
— · MIT
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.