repository

CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.

AI code review tool that scores code against six decay-risk dimensions inspired by twelve classic engineering books, with book citations, severity labels, and remediation guidance.

A Go-based local orchestration platform for AI coding agents, with live event streaming, session replay, and durable execution history.

A TypeScript CLI and SDK for testing whether Agent Skills improve model outputs by running with-skill vs baseline evaluations and generating reports.

Sentinel is a local, zero-dependency codebase scanner that maps a repository into AI-ready context, health scores, risk hotspots, entry points, and prompts for coding agents.

A zero-config CLI that scans repositories for AI-slop patterns like missing .env.example files, committed secrets, large files, duplicated code, TODO drift, and missing tests, then returns a Vibe Score from 0 to 100.

Local-first code intelligence for Claude Code that adds structural graph search, semantic memory, cross-project links, MCP integration, and automated hooks for coding workflows.

Hivemind is a shared brain for coding agents that captures traces, turns repeated patterns into reusable skills, and syncs them across a team. The repo shows installation commands, supported assistants, commands, and troubleshooting notes.

Open-source CLI and agent infrastructure for handling paid API requests. It detects 402 payment challenges, signs stablecoin payments with a local wallet, supports MCP, and includes a payment debugger plus catalog tooling.

Amnitex is a local, lossless memory layer for MCP-capable AI coding assistants. It installs as a CLI, exposes tools like search, recall, remember, and list keys, and is designed to work across clients such as Claude Desktop, Cursor, Cline, Continue, and Zed.

An open protocol for giving AI agents structured, real-time perception from external sensors and data sources. The repo includes architecture notes, quick-start install flows, and a sensor catalog concept.

A cross-platform agent skills repository for consensus-based R&D and repo automation. It describes a multi-agent loop that generates independent plans, converges through a meta-judge, and supports platforms like Claude Code, Codex, Cursor, and Gemini.

An open-source reference implementation for autonomous vulnerability discovery and remediation with Claude. It includes Claude Code skills for threat modeling, scanning, triage, patching, plus a harness for running a recon → find → verify → report → patch pipeline.

TypeScript SDK for building agent skills as typed state machines, with workflow steps, schema validation, branching, testing helpers, and packaging into distributable executables.

Kit is a developer workspace that combines an editor, Chromium browser, terminal, email, calendar, whiteboard, and autonomous agent with shared AI context across the whole environment.

A Claude Code skill pack with 171 structured reasoning methods drawn from historical thinkers, designed to route different problem types to specific procedures.

A multi-lens code review pipeline for Claude Code that runs parallel review passes, validation gates, optional Codex review, an auto-fix loop, and interactive walkthroughs for findings.

Peers is a Python-based multi-agent coding substrate that coordinates Claude Code, Codex, and other CLIs to work together on coding, research, debugging, and repo audits with measurable convergence checks.

Agentize is a Claude Code-oriented framework for assessing and improving how ready a codebase is for AI agents. It includes two maturity models, runnable assessment and improvement commands, and installable skills for project or personal use.

UltraCompress is a Python-based compression tool for large language models. The repo describes lossless 5-bit transformer compression, verification via SHA-256, a CLI on PyPI, and published model packs on Hugging Face.

An autonomous neuro-symbolic formal verification engine for Lean 4. The repository describes a proof workflow that generates tactics and then checks them deterministically in Lean, with example proofs, verification steps, and telemetry outputs.

Tendril is an agentic sandbox that lets a model discover, build, register, and reuse tools across sessions. The repository describes its Strands-based agent loop, capability registry, Deno sandbox execution, and Tauri desktop shell.

GitGalaxy is a Python-based static analysis and knowledge graph engine for deep repository intelligence. It maps codebases at the function level, supports 50+ languages, runs locally, and exports JSON and SQLite for querying and AI-agent workflows.

Foyer is a local dashboard for watching AI coding agents work, with a narrated current-focus view and a research panel for reading sourced briefings while you wait.