RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

Python SDK for dataset generation on LightningRod platform ⚡

Self-hosted control plane for AI coding agents (Claude Code, Codex, Gemini, Ollama). Shared MCPs, reusable workflows, AI audit that makes any repo AI-friendly. Engineering, not prompting : smaller prompts, fewer hallucinations, lower token bill.

Template-aware development workflow plugin for Claude Code.

A powerful Model Context Protocol (MCP) server and Omni-AST engine. It empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules.

A Claude Code skill that turns every AI request into a clear, constrained and verifiable prompt before execution.

AI agent skills library built by OpenSite AI. A single git repo that keeps Claude, Codex, Cursor, Copilot, and Perplexity Computer in perfect skill sync, with persistent cross-session memory and automated cloud upload via Playwright.

AI-first frontend design toolkit for Claude Code and Codex: 7-stage flow with six-dimension research, dualround interview, visual anchors, motion spec, anti-slop gate, and kun 15-segment DESIGN.md contract. Constraints before generation.

Adaptive wizard that generates production-ready configs for Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and AGENTS.md from a single Q&A. Deterministic, offline, and audit-ready, with built-in compliance for HIPAA, PCI-DSS, SOC 2, GDPR, FERPA, and COPPA.

A customized Claude Code fork for routed models, multi-agent orchestration, and dense terminal control.

Daily self-improvement loop — scans configured sources for new patterns, diffs against your current setup, implements quick wins, writes a dated report. Originally a Claude Code skill, now config-driven for any ecosystem.

Lint, test, and score agent instruction files (CLAUDE.md, AGENTS.md, MCP tool specs).

A cognitive quality harness for Claude Code — hard gates, deep thinking, every domain. No npm. No runtime. Just quality.

Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.

A protocol for agent work that survives session boundaries — plan, implement, verify in sealed contexts, with proof bundles as the only currency between them.

The missing architectural layer above MCP. Production patterns for LLM agents wired to enterprise systems at scale — without context blowout, hallucinated tool selection, or audit gaps.

finasys: Fast financial data processing, feature engineering & AI agent toolkit

A lightweight, human-readable scripting language for defining AI agent behaviors with a canonical parser, formatter, interpreter, examples, and CI-tested language contracts.

A hook-based router for Claude Code: classifies every prompt, dispatches to the right framework, and enforces runtime guardrails.

Single-binary operational CLI for Qdrant with .qql runbooks, CI automation, retrieval diagnostics, and stable JSON output