Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.

The control plane for AI coding agents.

OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integration, cognitive memory.

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

A reusable agent workflow kit with personas, skills, rules, and memory files.

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

LeanCTX — Context Intelligence for AI systems.

Run Claude Code dynamic workflows on a local Codex (GPT) backend, plus an interactive run viewer

Swarm orchestration for claude code agents with a local brain that steers based on your preferences

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.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

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

Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.

You've heard Claude Code can do amazing things. Skills, hooks, agents, memory systems — but who has time to figure all that out? Claude Prime sets it up for you in one command.

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

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

A collection of 265 rules across 26 categories that AI coding agents can use to write idiomatic, fast, and safe Rust.

Context-engineering-powered multi-agent team workflow pack for Antigravity CLI.