Continual Learning & Self-improving skills system for Claude Code - learn from corrections, never repeat mistakes

Software architecture tooling for the AI age

60 deterministic Claude AI skills for Frappe Framework & ERPNext v14-v16 development and operations

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Poirot is a deep research agent kernel built for those who care about how agents are architected.

Tools for AI agents to test, fix and optimise your codebase

Better subagent experience for Codex and Claude users

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Unreal Engine Vibe Coding tool

Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic

Durable MCP control plane for long-running Codex Desktop tasks

Self-evolving browser automation for Codex, Claude Code, and Cursor—learn reusable site knowledge and safely replay verified routines with agent-browser.

An agent skill for evidence-based mouse sensitivity tuning, cross-game conversion, and gameplay review. Works with Codex, Claude Code, and Agent Skills hosts.

Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

Agentic coding skills for backtesting trading strategies using VectorBT. Supports Indian, US, and Crypto markets with realistic transaction cost modeling, TA-Lib indicators, QuantStats tearsheets, and 12 ready-made strategy templates.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Write-time code quality enforcement system for Claude Code. Every file edit triggers automated formatting and linting through fast Rust-based linters and dedicated Claude instances that intelligently fix remaining violations

External-agent-first orchestration for AI coding workflows: dispatch to Antigravity CLI, Grok CLI, Claude Code, and Codex CLI with structured receipts, recovery, and low-token wait/watch.