Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A. Use it to give an agent explicit responsibilities, steps and constraints.

data-storytelling — detailed patterns and worked examples captures reusable agent playbook guidance for research & evaluation. Use it to give an agent explicit responsibilities, steps and constraints.

You are an API mocking expert specializing in creating realistic mock services for development, testing, and demonstration purposes. Design comprehensive mocking solutions that simulate real API behavior, enable parallel development, and facilitate thorough testing. Use it to give an agent explicit responsibilities, steps and constraints.

PluginEval is a three-layer quality evaluation framework for Claude Code plugins and skills. It combines deterministic static analysis, LLM-based semantic judging, and Monte Carlo simulation to produce calibrated quality scores with confidence intervals. Use it to ground design choices in named patterns, trade-offs and examples.

StageRAG is a lightweight, production-ready RAG framework designed to give you precise control over the speed-versus-accuracy trade-off. It allows you to build high-factuality applications while gracefully managing uncertainty in LLM responses. Use it to navigate the topic and choose relevant methods, papers or tools.

It can be also used to convert your MQL4 code into MQL5 with minimum code changes. Projects implementing this framework: Multi-strategy advanced trading robot.

Kheish Persistent agent runtime and control plane for long-lived, tool-using AI workflows.   --- Kheish enforces one rule: Everything else in this README is a consequence of that single invariant.

go-agent is a Go framework for building AI agents with pluggable LLM providers, memory, file context, guardrails, UTCP tool orchestration, and multi-agent coordination. Use it when you want agent runtime pieces that stay idiomatic in Go: For this repository: The module currently targets Go 1.25.10.

中文 | EN LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization.

We're excited to announce the release of Gin 1.12.0! This release brings new features, performance improvements, and important bug fixes.