Your Company Agentic Operating System

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

The agent harness you steer — structured context, automatic staleness gates, and block-by-block review, all bound to your code. Local-first, MCP-native, open source.

"Local LLM agent framework in Rust — native tool-role support, tmux session persistence, two-tier summarization, and ShareGPT logging. Works with any OpenAI-compatible backend."

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).

Context compression for AI agents — cut token usage costs with retrievable CCR compression. Rust core + Python API, Claude Code & Codex plugin, MCP server. PyPI: furl-ctx

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.

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

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

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

End-to-end engineering harness for Claude Code — go from planning to building to reviewing in one workflow. 8 agents with multiple modes. In-built GUI to visualise your PRDs and todos. Ship with AI confidently. MIT.

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

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

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

Reviews and improves BDD and Gherkin scenarios with coaching on traceability, coverage gaps, and Given-When-Then quality.

Formats approved test artifacts into review-ready docs and importable outputs for Gherkin, Xray, Zephyr, TestLink, and TestRail.