CLI & DevTooling

Query X/Twitter data and cache posts as Markdown files using the Grok Build CLI for use by AI agents.

Manage API provider configurations for multiple AI coding assistants like Claude Code, Codex, and Gemini CLI through a unified desktop application.

Installs a system of pre-built agents, skills, and rules to enhance AI coding assistants like Claude Code and Cursor.

Analyze codebases or wikis to generate an interactive knowledge graph for visual exploration, search, and impact analysis.

Indexes your codebase into a local knowledge graph to make AI coding agents faster and cheaper by replacing file exploration with efficient graph queries.

Indexes a codebase's dependencies, git history, and architecture to provide deep context to AI coding agents, improving answer quality and token efficiency.

Rewrite AI-generated text to sound more natural by removing robotic patterns and matching your personal writing style within Claude Code or OpenCode.

Route AI coding tool requests across 40+ providers with auto-fallback and token-saving compression to minimize costs and downtime.

Orchestrate multiple AI models from a single developer tool, enabling complex workflows like multi-model code reviews and collaborative debugging.

Interact with Twitter/X from the command line to read timelines, manage tweets, and export data without an API key.

Provide AI agents with command-line skills to create, edit, and manage files within an Obsidian vault.

Reroute Claude Code API calls to free or local LLMs, enabling use of the CLI and VSCode extension without a paid Anthropic API key.

Manage Hermes AI agents with a self-hosted web dashboard for chat, token analytics, file browsing, and multi-agent configuration.

Run modular, AI-powered scripts from your terminal to automate software development tasks like project planning, TDD, code refactoring, and tooling setup.

Deploy a self-hosted web dashboard to manage Hermes Agent chat sessions, configure channels, monitor usage, and schedule jobs.

Orchestrates developer workflows, integrates with GitHub, and manages tasks locally via CLI with a persistent memory.

Optimize AI agent communication by condensing LLM output and input tokens without losing technical accuracy.

Filters and compresses command outputs to significantly reduce LLM token consumption for developers using AI coding assistants.