A side-project designed to address brittleness when scaling autonomous AI agents (like OpenClaw) across multiple projects. It provides robust state management, session tracking, and error handling, ensuring agents maintain context and prevent errors during multi-project development.
A CLI tool and Python package centralizing LLM model metadata (pricing, capabilities, context windows) from various providers (OpenAI, Anthropic, Google). It solves fragmented information, allowing developers to rapidly compare models and select the optimal solution.
Software that automates the modernization of legacy codebases, translating them into a modern Next.js + TypeScript stack and preparing them for AI-assisted development. It addresses the challenge of utilizing existing projects within contemporary development workflows.
Addresses the brittleness of AI agents across multiple development projects (like DevClaw) by providing state management, session tracking, and improved model selection capabilities, ensuring consistent and reliable AI assistance.
A CLI tool that automatically modernizes legacy codebases (similar to DustOff) by migrating them to a Next.js + TypeScript stack, preparing them for AI-assisted development and leveraging GitHub Copilot for efficient updating and refactoring.
A software platform that monitors and verifies the compliance of AI model deployments with emerging regulatory frameworks (like India's new rules) across various providers. It specifically focuses on detecting and flagging potentially illegal or harmful AI-generated content, automating the compliance process for businesses.
A VSCode extension that enables real-time monitoring and management of multiple Claude Code sessions. Provides notifications for agent attention and proactively identifies stalled or waiting sessions, optimizing developer productivity.
Secure MCP Audit
A security scanning tool for Model Context Protocol (MCP) servers. Identifies potential vulnerabilities and weaknesses in MCP server implementations, including code execution risks and unauthorized access points, crucial as AI agents increasingly interact with these servers.
An intelligent agent orchestrator designed to manage and coordinate AI-powered development across multiple projects, overcoming the brittleness and state loss issues observed in existing solutions. Focuses on project autonomy and robust session management.
A platform that monitors and analyzes power consumption of AI data centers, identifying inefficiencies and providing recommendations for optimizing energy usage, leveraging technology like C2i Semiconductors’ power solutions.
SecureAI Monitor
A security auditing tool specifically tailored for Model Context Protocol (MCP) servers, analyzing commonly used implementations for vulnerabilities and generating reports on potential attack surfaces.
An AI-powered agent designed for autonomous code development across multiple projects, addressing the brittleness of existing solutions by managing state, preventing agent confusion and ensuring consistent execution across numerous repositories.
LLM Metadata Hub
A centralized CLI tool and web interface for tracking LLM model metadata (pricing, features, context windows, API parameters) across various providers like OpenAI, Anthropic, and Google, simplifying model selection and cost management.
A development sandbox and testing environment enabling developers to build and test multi-agent AI systems – inspired by OpenClaw and OpenAI's interest, providing a safe space to experiment with agent interaction and resource management.
An automated platform for social media platforms to rapidly detect and remove unlawful or AI-generated content, fulfilling the requirements outlined in India’s new social media regulations and mitigating the spread of misinformation.