agent-skills

DeepChat is a local-first desktop client for running cloud and local models alongside agent tools. It supports installable Skills, MCP services, and ACP-compatible agents as first-class session options, while its Tape and Trace views preserve context, tool calls, requests, and results for inspection or recovery. Users can also control sessions through messaging integrations such as Telegram, Feishu/Lark, Discord, and others, making it suited to longer-running agent workflows.

Hermes Agent CN Desktop adds a native desktop shell around the Chinese community edition of Hermes Agent. It provides chat, attachments, Skills, Memory, scheduled tasks, model-provider setup, and runtime diagnostics, while bundled releases can initialize and manage an isolated Hermes-CN-Core installation. Users configure either a cloud API key or a local model endpoint; the main agent runtime and Dashboard remain in the separate core repository.

Skills Manager brings GitHub skill catalogs and local folders into a three-column macOS app with search, tag filtering, Markdown previews, editing, installation, and removal. It can manage both Claude Code and Codex skill locations and supports multiple catalogs, but requires macOS 15 or later.

M-Courtyard provides a graphical, local workflow for preparing data and fine-tuning language models on Apple Silicon. Users can import TXT, PDF, or DOCX files, clean and segment them, generate instruction datasets, run MLX-based LoRA training, and test the adapter in a built-in chat. Models can be exported for Ollama, mlx-lm.server, or LM Studio. The application requires macOS 14 or later and an M1, M2, M3, or M4 Mac, with local Python and mlx-lm as the core runtime; 16 GB or more memory is recommended for 7B or 8B models.