Intelligence that compounds. Every single day.

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 workflow harness for Codex: typed gates, validated evidence, controlled transitions, repair paths, and inspectable logs for any workflow.

Give any repo a canonical AI control plane. One prompt, any AI — Codex, Claude, Copilot, Cursor.

A compact, schema-first standard for the boundary between cognition and execution.

The open source runtime enforcement for AI agents.

A cognition-aware context and harness orchestration framework that combines Graph DBs, Vector DBs, and LLMs to build structured, memory-consistent, and scalable AI systems.

Open standard for responsible human–AI co‑working (six pillars: Economic Accountability, Social Fairness, Psychological Safety, IP & Cognition Ownership, Ecological Sustainability, Meaningful & Responsible Use).

Demo to showcase Temporal as the Durable OS layer for Agentic AI underneath an autonomous OpenAI-Agents-SDK trading agent.

A full fledged kit to yield 80% better results and cost aware vibe code development. Make the best usage of Claude Code AND Codex, inspired by the heavily used antigravity-kit by vudovn, feel free to experiment, raise issues and contribute.

End-to-end Playwright skill pack for planning, authoring, debugging, documenting, and operationalizing test automation.

Rest Assured skill pack for designing, implementing, documenting, and reporting API tests in Java and CI workflows.

Plans, executes, and analyzes safe performance testing for APIs, web apps, services, and distributed systems.

Generates epics, backlog-ready user stories, and importable story packs from requirements, discovery notes, or codebases.

Transforms requirements and business rules into structured software test artifacts using the right black-box design technique.

Runs severity-ranked engineering audits and executes approval-gated refactors to raise prototype code to production quality.

Generates realistic synthetic datasets for tests and demos with seeded, locale-aware, and distribution-shaped data.

Prepares GitHub repositories for release with changelog validation, semver selection, safe staging, push, and CI follow-through.

End-to-end Cypress skill pack for planning, authoring, debugging, documenting, and operationalizing test automation.

Plans and runs responsive frontend testing across devices and screen sizes, with normalized reporting outputs.