Source control for agents. Use multiple coding agents, track their changes and query them in one place

Multi-Agent + Automation: Workflows, Automation, Self-Improving 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。

A collection of AI agent skills for Clawdbot, Claude Code, Codex

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

Codex-first Agent Skills library for premium frontend, website, motion, accessibility, QA, and handoff workflows.

Astra Skill Optimizer for GPT-6/Astra project Skill and workflow adaptation

Instant, accurate Unreal Engine API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations.

Don't make LLMs honest. Make every factual claim auditable. — An LLM Claim Auditing Layer with T1-T7 truth gradients. 98.1% business effectiveness on LiarBench v0.2.

API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps

A Claude Code skill that consolidates scattered project markdown files into a single canonical CLAUDE.md, with a pinned PROGRESS block at the top.

LeanCTX — Context Intelligence for AI systems.

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company.

MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any MacOs app. Screenshot, tap, swipe, type — from any MCP client.

Claude in Chrome, reverse-engineered and open-source. No domain blocklist. Any Chromium browser. Same 18 MCP tools, same performance.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

Browser-native AI agents for X (Twitter): multi-account, MCP-ready, no X API key required.

Claude Code skill for HTML email campaigns with Resend. Pull the numbers from your ads via the free Ryze MCP: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Goal-based planning and proof gate for AI coding agents