SmythOS Studio: Open-Source Visual AI Agent Builder and deployable runtime stack from SmythOS. Start with an intuitive drag-and-drop workspace, extend with custom code, and deploy your agents anywhere — local, cloud, or edge — with full governance and control.

UltraGameStudio - AI coding agent for game development: engine workflows, gameplay code, and asset generation.

Evaluation and Tracking for LLM Experiments and AI Agents

Fetch X/Twitter tweets, replies, timelines, and articles without login or API keys — field tool for AI agents.

The CLI-native orchestrator for AI agent workflows. Run Claude Code, Codex, Gemini CLI & Kimi Code from declarative YAML. Because the terminal is where real work happens.

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Open-source MAVLink fleet operations for PX4: SITL, drone shows, search and rescue, cooperative autonomy, and field validation

Bootstraps a fresh Ubuntu VPS into a complete multi-agent AI development environment in 30 minutes: coding agents, session management, safety tools, and coordination infrastructure

📚 Real-world OpenClaw automation examples from Moltbook

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

A curated list of awesome references collected since 2018.

Semantic DataFrames for humans and agents

Drive the Unity Editor from an AI agent or the terminal. The Editor serves MCP itself over HTTP, so there is no second process to run, and the isuzu-unity-cli command needs no Node or .NET runtime.

A curated list of awesome things related to Anthropic Claude

The agent engineering platform.

Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Opensource Memory for Agents

Laddr is a python framework for building multi-agent systems where agents communicate, delegate tasks, and execute work in parallel. Think of it as a microservices architecture for AI agents — with built-in message queues, observability, and horizontal scalability.

Stop babysitting local AI agents. Just notifications, approve, and resume your Codex,Pi,Grok, or Claude code sessions anywhere. 0-Intrusion mobile control bridge via Telegram/微信/飞书. No hooks, no skills, no MCP.