klaatcode
Open-source AI coding agent for the terminal. Claude Code-grade accuracy with smart model routing — uses the right AI model for each task, cutting costs 10x. Supports Claude, GPT, Gemini, DeepSeek & more.
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Capability tag · curated repositories and deep analysis.
Open-source AI coding agent for the terminal. Claude Code-grade accuracy with smart model routing — uses the right AI model for each task, cutting costs 10x. Supports Claude, GPT, Gemini, DeepSeek & more.
Premium hand-drawn, dark-background animated architecture & process diagrams. Outputs editable .excalidraw + PNG + genuinely animated GIF. Codex/Claude skill.
High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus a desktop GUI. Tantivy + Jieba keyword search, optional semantic recall, stable Turn/Run/Session/Project IDs.
The skill layer for AI agents: npm for AI Agent Skills.
A natural-language workflow for creating atmospheric short book videos with AI-generated visuals, HyperFrames, GSAP animation, voiceover timing, subtitles, and BGM.
The spend meter, cost/margin, & budget gate for AI voice agents. Meters STT + TTS + LLM + telephony per call, out of the box (Pipecat, LiveKit — Python & TypeScript). Hard-stops the next turn before it crosses your ceiling. Local, no account, no telemetry. Built by Floe.
Free email for AI agents. No signup, no human needed. Install → provision → send and receive. Ed25519 keypair auth.
AI-powered modular Active Directory red-team framework for authorized penetration testing, AD enumeration, attack-path analysis, Kerberos/ADCS workflows, reporting, operator automation, and MCP server integration.
Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
AI-driven user testing for iOS Simulator, macOS apps, and web apps. Write a goal in plain language; an LLM agent drives the UI and reports friction. macOS 14+, Swift 6.
A Docker-powered RAG system that understands the difference between code and prose. Ingest your codebase and documentation, then query them with full privacy and zero configuration.
A 20-chapter hands-on Chinese tutorial on AI agent architecture, with runnable TypeScript code, covering tools, permissions, memory, multi-agent setups, worktrees, and MCP.
UI layer for the native Hermes orchestration features
Standards for defining and evaluating agent behavior
Three anonymized real-world AI coding interview project questions, with a general problem-solving method.
Tiny truly local voice-activated LLM Agent that runs on a Raspberry Pi
Self-hosted AI gateway for private RAG, natural-language data access, and tool-calling agents.
A complete hands-on tutorial, from zero to full workflows, to master AstronClaw (cloud AI) and Loomy (desktop AI).
One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call them back when you walk away. Async Python SDK, persistent memory, self-evolving skills.
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI assistants to generate more secure code automatically.