llm-tooling

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.

Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.

Better AI Predictions ⚡

Artifact-first agent framework — disciplined skill chain for AI-driven multi-step engineering tasks. MIT.

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.

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.

An orientation protocol for LLM sessions — plus a curated Claude skills collection

Template-aware development workflow plugin for Claude Code.

Stop fighting broken PDF tool calls. This watches a folder and converts any PDF to clean Markdown in seconds — fully local, no API key, no rate limits, no cloud dependency. Built for Obsidian "second brain" setups paired with Claude or any LLM assistant with filesystem access. Free forever.

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

Intent-driven agent harness for humans in the loop. Idea development and work system, with intent stores as project memory, DAG (Direct Acyclic Graph) ordering, auto mode for intent development, new delivery cycle, and more.

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.

Spec-driven development workflows for Claude Code — 14 commands, 6 agents, 3 hooks. Immutable specs, hard gates, phased pipelines for auditable AI-assisted coding.

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

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

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.

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.

Zero-config grammar-free structural codebase indexer and MCP server. ~0.16s builds, sub-ms queries, 4.7MB binary.

A curated collection of WorkBuddy agent skills — academic pipeline, frontend slides, PPTX generator, tool-call repair, and more.

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.