Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

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.

The Bank API is a design reference project suitable to bootstrap development for a compliant and modern API.

The CLI for IronBee — Verification and Intelligence Layer for Agentic Development

368 AI skills, 76 expert agents, and 859 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.

AI-powered trading strategy development: backtesting, market data, and portfolio analysis

Supplement research, biomarker effects, drug interactions, and brand quality data

AI story development, screenplay editing, review, media, and export tools for BeatBandit projects.

Blast Radius tools for AI strategy, diligence, and market updates.