Cyclomatic complexity, but for LLM prompts. Static analysis that finds the business logic hidden in your prompts, scores it, and gates it in CI. Python, TypeScript, JavaScript, PHP.
Agents that plan, don't react. The model writes a typed plan once. The runtime runs it. Tool outputs never go back through the model — so your agent can't be prompt-injected through its tools, costs a fraction, and runs the same every time.
@codeproxy/core is a zero-dependency TypeScript library that converts upstream LLM responses in Chat Completions or Anthropic Messages format into the OpenAI Responses API format, so that AI coding agents like Codex and Claude Code can work with any language model.
MindTrial: Evaluate and compare AI language models (LLMs) on text-based tasks with optional file/image attachments and tool use. Supports multiple providers (OpenAI, Google, Anthropic, DeepSeek, Mistral AI, xAI, Alibaba, Moonshot AI, OpenRouter), custom tasks in YAML, and HTML/CSV/JSON reports.
🤖 Autonomous Multi-Agent AI Workspace in your terminal. Codes, researches, and executes real tasks with 40+ tools and 280+ skills And Some Captcha Resolver With Only Vision Mode Any Captcha And Opening A Browser And Full Control Of It