Reasonix is a local AI coding agent engine written in Go, providing a terminal UI, desktop application (Electron + React), and HTTP server for interacting with large language models (OpenAI, Anthropic, DeepSeek, etc.) to automate software engineering tasks. The kernel manages sessions, context windows, planning, sub-agent delegation, tool execution (file operations, shell, browser, MCP servers), and a sophisticated safety sandbox. It persists conversation history with checkpoints for undo/rewind, tracks token usage, and maintains an evidence ledger for auditing tool effects. The architecture is a monolithic Go binary with multiple frontends: a CLI/TUI, a desktop host that communicates via SSE/JSON, and a REST API server. A plugin system using the Model Context Protocol (MCP) allows extension. Separate Cloudflare Workers handle account management, forum, and crash reporting. The codebase is well-structured with a clean layered architecture (base utilities, domain contracts, state persistence, runtime agent, assembly wiring, frontends), extensive test coverage, and internal linters enforcing quality. It is actively maintained with frequent commits and professional CI/CD pipelines.
CyberClaw is an enterprise-grade transparent AI agent architecture that implements a dual-watermark memory system, full behavior auditing, zero-trust execution via two-phase skill invocation, and a heartbeat task engine for scheduled operations. The system provides an interactive conversational interface where users can query time, perform calculations, manage files, execute shell commands within a secure sandbox, and utilize pluggable skills. All agent actions are transparently logged to JSONL files for monitoring and compliance. The architecture features clean separation of concerns with distinct modules for agent logic, skill loading, context management, logging, heartbeat tasks, and tool execution.