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Agentic Jujutsu

技能 已验证 活跃

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

目的

To enable AI agents to collaborate effectively on code and tasks, learn from their interactions, and maintain a secure, version-controlled history of operations.

功能

  • Quantum-resistant, self-learning version control
  • Multi-agent coordination and collaboration
  • ReasoningBank intelligence for pattern discovery
  • Automated conflict resolution and suggestions
  • Federated communication with zero-trust security
  • Vector memory with fast retrieval (AgentDB)
  • Comprehensive CLI and plugin-based installation

使用场景

  • Coordinating multiple AI agents modifying code simultaneously
  • Implementing lock-free version control for faster workflows
  • Enabling AI agents to learn from past successes and improve performance
  • Securing AI agent communications with quantum-resistant cryptography
  • Building complex, multi-agent systems that require coordinated task execution

非目标

  • Replacing standard version control systems like Git for human developers
  • Providing a generic LLM interface without specific agentic capabilities
  • Handling non-AI agent workflows or traditional software development tasks directly

工作流

  1. Initialize Agentic Jujutsu wrapper
  2. Start a learning trajectory with a task description
  3. Perform agent operations (e.g., status, commit, branch create)
  4. Add operations to the trajectory
  5. Finalize the trajectory with a success score and critique
  6. Utilize learned patterns for suggestions and coordination

实践

  • AI Agent Coordination
  • Self-Learning Systems
  • Secure Agent Communication
  • Version Control for AI

先决条件

  • Node.js (for CLI installation)
  • Claude Code environment (for plugin usage)

Scope

  • info:Tool surface sizeThe extension exposes a large number of tools and commands across its various plugins, which is necessary for its broad functionality but could potentially be overwhelming.

安装

npx skills add ruvnet/ruflo

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
99 /100
1 day ago 分析

信任信号

最近提交1 day ago
星标50.2k
许可证MIT
状态
查看源代码

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