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Back to voidborne-d/sober-coding

Open-source alternatives to Sober Coding

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.

  • ai-christianson/ra.aidAvatar von ai-christianson

    ai-christianson/RA.Aid

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    Develop software autonomously.

    Python
    Auf GitHub ansehen↗2,223
  • anthropics/claude-codeAvatar von anthropics

    anthropics/claude-code

    132,728Auf GitHub ansehen↗

    Anthropic's terminal-native AI coding agent.

    Pythonaiclideveloper-tools
    Auf GitHub ansehen↗132,728
  • autohandai/code-cliAvatar von autohandai

    autohandai/code-cli

    138Auf GitHub ansehen↗

    Autohand Code CLI - Ultra fast self evolving coding agent that runs in your terminal

    TypeScript
    Auf GitHub ansehen↗138
  • chernistry/bernsteinAvatar von chernistry

    chernistry/bernstein

    594Auf GitHub ansehen↗

    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

    Python
    Auf GitHub ansehen↗594

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  • daxaur/openpawAvatar von daxaur

    daxaur/openpaw

    151Auf GitHub ansehen↗

    Personal Assistant Wizard for Claude Code — npx pawmode

    TypeScript
    Auf GitHub ansehen↗151
  • drivecore/mycoderAvatar von drivecore

    drivecore/mycoder

    568Auf GitHub ansehen↗

    Simple to install, powerful command-line based AI agent system for coding.

    TypeScript
    Auf GitHub ansehen↗568
  • google-gemini/gemini-cliAvatar von google-gemini

    google-gemini/gemini-cli

    105,341Auf GitHub ansehen↗

    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

    TypeScriptaiai-agentscli
    Auf GitHub ansehen↗105,341
  • jcanizalez/vibegridAvatar von jcanizalez

    jcanizalez/vibegrid

    24Auf GitHub ansehen↗

    The agent command center

    TypeScript
    Auf GitHub ansehen↗24
  • kirill89/reviewcerberusAvatar von Kirill89

    Kirill89/reviewcerberus

    29Auf GitHub ansehen↗

    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.

    Python
    Auf GitHub ansehen↗29
  • maynetee/codeselectAvatar von maynetee

    maynetee/codeselect

    237Auf GitHub ansehen↗

    A simple, interactive tool to select and share code with AI assistants like Claude and ChatGPT. Analyzes file relationships and generates context-rich output.

    Python
    Auf GitHub ansehen↗237
  • memovai/memovAvatar von memovai

    memovai/memov

    192Auf GitHub ansehen↗

    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.

    Python
    Auf GitHub ansehen↗192
  • openai/codexAvatar von openai

    openai/codex

    91,445Auf GitHub ansehen↗

    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

    Rust
    Auf GitHub ansehen↗91,445