Automated quality checks that nudge AI coding agents toward better habits

Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

lnwjud — local AI-agent runtime & MCP gateway

Run a team of AI coding agents. On your machine. Local-first orchestration for Claude Code, Codex, OpenCode, Antigravity, and Copilot.

File-based message queue for local agent-to-agent communication (Maildir-style)

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

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

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

Git worktree-based task manager with integrated terminals for CLI coding agents

Instant recall for coding agents. Search the history already on your machine. Git blame, but for agent sessions.

Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

The control plane for AI coding agents.

A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。

An open-source plugin that runs inside Codex and lets you use Claude Code and Claude models for review, rescue, and tracked background workflows.

Git-native memory for coding agents. Repo memory before the diff.

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

Finds the claims in your CLAUDE.md / AGENTS.md / skills that your code no longer supports. Zero-config, no API key.

Architecture guardrails for AI coding agents building backend services with DDD and Hexagonal Architecture.

LeanCTX — Context Intelligence for AI systems.

Goal-based planning and proof gate for AI coding agents

Save 40%+ on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.