lazyclaude: A TUI for Managing Claude Code Configuration
lazyclaude is a terminal user interface (TUI) tool built in Rust with ratatui that provides centralized management for Claude Code configuration files stored on disk. It's inspired by lazygit and offers a single interface for working with various configuration types.
Key Features
The tool allows you to:
- Browse and edit important config types across user and project scopes
- Create, delete, and search skills, agents, and MCP servers
- Search and install from the skills registry (anthropics/skills) and npm MCP packages
- Use fuzzy filtering, clipboard support, and JSON export for scripting
- View settings diff showing which scope defines each setting
Installation
Install via Cargo:
cargo install lazyclaudeOr download prebuilt binaries from GitHub Releases.
The tool manages these Claude Code configuration elements: memory files, skills, agents, MCP servers, settings, permissions, hooks, keybindings, sessions, stats, plugins, and todos.
lazyclaude is MIT licensed and available on GitHub at https://github.com/idossha/lazyclaude. The developer welcomes feedback and contributions.
📖 Read the full source: r/ClaudeAI
👀 See Also
Stagent: Open-source ops layer for Claude Agent SDK with local governance and workflow orchestration
Stagent is an open-source, local-first coordination workspace built on top of Claude Agent SDK and Claude API that provides workflow orchestration, budget guardrails, and human-in-the-loop governance for AI agents. It includes 15 product surfaces, 6 workflow patterns, 52+ reusable agent profiles, and runs entirely locally with SQLite.
Claude Cowork mode explained: file-level task execution vs chat and code modes
Claude's Cowork mode operates inside a chosen folder to perform file-level tasks like organizing messy folders, extracting structured data from screenshots, and combining scattered notes into structured documents.
Survey of Local-First Markdown Memory Servers for AI Agents: Mem0, Hindsight, Zep, and the Newcomer Engram
A user tested ~20 local agent memory systems for storing memories as editable files. Engram (by Obsidian68) was the only one that met all requirements: fully local, Markdown storage, smart dedup, importance decay, and standalone server.
RunAnywhere RCLI: On-Device Voice AI Pipeline for Apple Silicon
RunAnywhere has released RCLI, an open-source voice AI pipeline for macOS that runs STT, LLM, and TTS entirely on Apple Silicon devices. The tool uses their proprietary MetalRT inference engine and claims significant performance improvements over existing solutions.