Provides a desktop app and an MCP endpoint to share AI skills, plugins, and connected services across agents and teams. Includes a local-first workspace for macOS/Windows/Linux, an MCP that integrates with Codex/Claude/Cursor, and an org control plane for publishing capabilities and managing access.
Provides a Claude Code plugin marketplace that supplies modular skills for security research, vulnerability detection, and audit workflows. Includes scanners, analysis skills, and developer tooling to embed LLM-assisted security checks into existing pipelines.
Provides a modular collection of marketing “skills” (CRO, copywriting, SEO, analytics, growth engineering) expressed as markdown workflows so AI agents can apply marketing frameworks. Built to plug into Agent Skills–compatible agents like Claude Code and OpenAI Codex.
A production-ready performance and tooling system for AI agent harnesses (Claude Code, Codex, Cursor): reusable agents/skills, hooks, memory and security tooling, installer and CI integrations.
Rewrites text to remove common signs of AI-generated writing and produce more natural human prose while preserving source facts. Delivered as a portable agent skill (plain SKILL.md) that runs across agent harnesses, with voice-calibration and a strict no‑fabrication rule.
Pre-indexes a project's code into a local semantic knowledge graph that Claude Code can query—fewer tool calls and faster exploration with all data kept on-device. Features FTS5 search, call/impact analysis, auto-sync watcher, and multi-language support.
Provides an operator-grade system and reusable toolkit for building, running, and securing agentic workflows across multiple LLM harnesses — skills, hooks, memory, MCP integrations, and security scanning for production agent deployments.
CLI for creating, running, and managing coding agents across local hosts, containers, and cloud sandboxes. Uses SSH, git, and tmux; supports snapshots, push/pull, auto-shutdown for cost control, and provider-agnostic workflows for developer-centric agent orchestration.
Desktop-first agent client that composes LLM-driven agents into document-centric, multi-session workflows; it wires APIs, MCPs and local tools into shareable sessions, supports multiple LLM providers, and exposes a headless server + CLI for automation.
A curated, security-first registry of verified, tested skills you can install into AI coding agents. Each skill is human-curated, scanned (Snyk/static analysis), and integrity-locked; delivered via a CLI and optional MCP server to multiple agents (Claude Code, Cursor, Copilot, etc.).
Exposes the Claude Code SDK as a local Anthropic/OpenAI-compatible HTTP proxy so third-party tools can use Claude Max. Adds session management, streaming, multi-profile routing and OpenAI-format endpoints while respecting Anthropic's SDK auth, rate limits and prompt caching.
Filters and compresses CLI command outputs before they reach an LLM, typically reducing token consumption by 60–90%. Single Rust binary with zero runtime dependencies, supports 100+ dev commands and integrates via a Bash hook into common AI coding tools.