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插件市场知识与记忆ANOLISA
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ANOLISA

ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.

插件介绍

ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.

agent-infrastructureagent-memoryagent-runtimeagent-securityagentic-aiagentic-osai-agentscontext-engineeringdeveloper-toolsdsh-pluginlinuxobservabilityruntime-securityrustsandboxskilltoken-optimization

项目详情摘要

A**gentic **N**exus **O**perating **L**ayer & **I**nterface **S**ystem **A**rchitecture The operating system layer for Agent workloads.** Let Agents drive the system straight from your terminal, and strip the tool responses that reach the model before they cost you — while keeping the Shell, Agent framework, and sandbox you already run. 中文版 · Website · Quick Start · User Guide · Contributing ANOLISA is a server-side operating layer for AI Agent workloads. It addresses three practical constraints of Agent execution: terminal entry, Token cost, and execution environments. Keep the Shell, Agent framework, and sandbox you already use. ANOLISA CLI provides a single installation entry point, while each capability can be enabled independently. New to ANOLISA?** Choose your first outcome in the Quick Start → Components Agent entry Context efficiency Runtime & security cosh-ng Shell copilot Token-less Tool-output compression ws-ckpt Checkpoint and rollback OS Skills System and DevOps expertise AgentSight Trace and Token visibility SkillFS Focused Skill views ktuner Kernel tuning Agent Memory Cross-session memory Agent Sec Core Sandbox and verification Blaze Sandbox lifecycle What it solves 01 · AGENT INTERFACE Let the Agent work directly in the terminal cosh-ng is an AI-native Linux terminal: it keeps familiar Bash/Zsh behavior, then adds an Agent that can understand intent, use tools and Skills, and ask for approval before risky work. Shell commands and natural language share one terminal instead of forcing users into a separate chat application. Get started with cosh-ng → 02 · CONTEXT EFFICIENCY See where Tokens go and cut waste before it reaches the model Token-less removes redundancy from tool schemas and responses before they reach the model. Agent Memory reuses useful

摘自项目公开 README,可能随上游仓库更新。

安装方法

建议先在测试 Profile 中安装,并检查权限、安装脚本和依赖。

npx -p @deepseek-ai/dsh dsh plugin --profile web add github:agentic-os-org/ANOLISA

使用前检查

  • 确认项目符合 DSH bundle 规范,而不只是相关仓库。
  • 阅读许可证和安装脚本,检查网络、文件及执行权限。
  • 备份配置,并确保插件能够安全卸载或回滚。