AI coding workstation: Claude Code + web UI + 8 AI CLIs + headless browser + 50+ tools

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.

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

Local-first workspace for Claude Code, Codex CLI, and Gemini CLI with sessions, analytics, workflows, and tools

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

The control plane for AI coding agents.

A terminal-first agentic development environment for agentic coding. Build for CLI/TUI agent. Runtime for Coding Agent, Tmux alternative

Agent Skill for code and test smell audits. Evidence-ranked findings from Refactoring, Clean Code, and the test-smell literature. Formerly pragmatic-code-review.

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

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.

Give your AI agent eyes and hands on any desktop — cross-platform accessibility API with MCP server

AIPex: AI browser automation assistant, no migration and privacy first. Alternative to Manus Browser Operator、 Claude Chrome and Agent Browser

Natural Context Provider (NCP). Your MCPs, supercharged. Find any tool instantly, load on demand, run on schedule, ready for any client. Smart loading saves tokens and energy.

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

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

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

Turns AI agents from chaotic code generators into disciplined engineers. 12-stage workflow from research to production.

Local-first MCP security scanner for AI-generated apps. Scan → fix → rescan from Claude Code, Cursor, Codex, and other agents.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

Verifiable and free cloud compute for AI agents. webMCP + MCP native. Check out our sandboxed Beta + research in the README

MCP server for AI agents to analyze Excel spreadsheets through atomic operations. Like SQL for Excel. Fast, accurate, and efficient. No context overflow.