12 open-source projects similar to voidborne-d/sober-coding, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Sober Coding alternative.
Develop software autonomously.
Anthropic's terminal-native AI coding agent.
Autohand Code CLI - Ultra fast self evolving coding agent that runs in your terminal
Audit-grade multi-agent orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). HMAC-chained audit log, signed agent cards, per-artefact lineage, air-gap deploy. The orchestrator your compliance team will sign off on. https://bernstein.run
Simple to install, powerful command-line based AI agent system for coding.
This project provides a command-line interface for managing autonomous agent workflows, task orchestration, and system-level automation. It includes a comprehensive framework for defining agent skills, managing persistent memory, and delegating tasks to specialized subagents. Users can configure complex planning modes, execute shell commands with safety constraints, and integrate external tools through standardized protocols. The platform supports non-interactive execution via a headless mode and provides an event-driven hook framework for custom lifecycle automation. It features centralized
AI-powered code review tool that analyzes git branch differences and generates comprehensive review reports. Supports AWS Bedrock and Anthropic API. Features automated analysis of logic, security, performance, and code quality with smart token efficiency through prompt caching.
A simple, interactive tool to select and share code with AI assistants like Claude and ChatGPT. Analyzes file relationships and generates context-rich output.
Give git-like & traceable memory to OpenClaw and any coding agents. By https://memov.ai/ aka Entire CLI for every coding agents by MCP. Self-evolution for skills.
Codex is an automated programming tool and generative code assistant designed to interpret developer intent through a natural language interface. It functions as a machine learning model trained on public code repositories to provide intelligent code completion, suggestions, and refactoring within development environments. By translating human instructions into executable code snippets, the system bridges the gap between high-level technical requirements and functional software implementation. The engine utilizes transformer-based sequence modeling and supervised fine-tuning to align its outp