Summary

HarnessKit centralizes the management of AI coding agent assets, often fragmented across directories and formats. This free, open-source desktop, CLI, and web app unifies extensions (Skills, MCP Servers, Plugins, Hooks, CLIs), configurations, memory, and rules across numerous agents. It offers power users and developers a single platform for enhanced visibility, security, and control, streamlining complex AI agent ecosystems.

How It Works

The core approach is in-place management, directly interacting with agents' native directories without duplication or sync conflicts. HarnessKit unifies five extension types and agent configurations, automatically adapting to diverse agent formats. Key features include cross-agent deployment, a built-in security engine assigning trust scores based on 18 static analysis rules, and detailed permission transparency across filesystem, network, shell, and environment variables.

Quick Start & Requirements

• Primary Install: macOS desktop app (DMG), or CLI/Web mode via install script (install.sh/install.ps1) or manual binary download for macOS, Linux, and Windows.
• Prerequisites: At least one supported AI coding agent installed (e.g., Claude Code, Codex, Gemini CLI, Cursor, Copilot).
• Setup: Desktop app installation is straightforward. Web/CLI mode requires running an install script or downloading a binary, followed by hk serve for the web UI. Remote server setup involves SSH tunneling.
• Links: Latest Release

Highlighted Details

• Unified management of five extension types across 8+ AI agents.
• Built-in security audit with trust scores and detailed permission transparency.
• Integrated marketplaces for discovering and installing Skills, MCP Servers, and Agent-first CLIs.
• In-place, non-destructive management with zero lock-in.

Maintenance & Community

The project is open-source with a CONTRIBUTING.md file. No specific community links or notable contributors/sponsorships are detailed in the README.

Licensing & Compatibility

Licensed under Apache-2.0. Artwork and product names are proprietary. The license permits commercial use, with the caveat that artwork is not covered by the Apache-2.0 license.

Limitations & Caveats

The desktop application is macOS-only. While supporting numerous agents, some may not support all extension types. The project appears actively developed with a roadmap, but specific bug tracking or release stability details are not provided.