Browse 122 tools for your AI coding workflow.
Multi-provider AGENTS.md generator and ExecPlan harness for coding agents.
A unified web extraction and stateful browser automation engine for AI agents, replacing heavy testing frameworks.
Framework for orchestrating role-playing AI agents. Create teams of agents that collaborate on complex tasks.
Open-source marketing agents for AI assistants that run SEO audits, AI-visibility checks, and competitive intelligence from live public data.
An open-source AI-powered frontend development platform built on DeepAgents and LangGraph. Generate complete React applications through natural language conversations.
Open-source React framework for building AI-native frontends enabling agents to interact with application state.
Secure cloud sandboxes for AI agents. Run AI-generated code safely in isolated environments.
Auto-updating documentation for AI coding agents — keeps docs current with your codebase via MCP.
Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
An open catalog of 2,000+ security-scanned AI agent skills for various agent runtimes.
A curated collection of high-quality skills for AI coding agents to boost productivity.
CodeGraph transforms codebases into semantic knowledge graphs for AI agents to reason about.
A CLI that lets AI agents message, watch, and spawn each other across terminals.
Evaluation-first rules, templates, and Skill packages that score risk and generate practical AGENTS.md guidance.
Open-source AI control plane to securely connect, observe, and distribute MCPs, skills, and agents across your organization.
Create, manage, and execute reusable code-based tool compositions for AI agents.
A Kubernetes-native framework for building, deploying, and managing AI agents.
A living wiki for your codebase, maintained by AI coding agents.
A performance optimization system for AI coding agents, providing skills, memory, security, and research-first development.
A marketplace of reusable skills for AI agents to perform real-world tasks.
