Skip to main content
AdOpenFree logoPromote your productReach more potential users and drive product growth and revenue.Advertise
Favicon of sapper-v2

sapper-v2

Free Listing

sapper-v2 is an autonomous pentest legion: an AI commander coordinates general, scout, and soldier agents through a shared layered fact-intent graph, using model tiering and tmux sessions for unattended security testing campaigns.

Visit N1nEmAn/sapper-v2

Overview

sapper-v2 is a multi-agent orchestration harness for autonomous penetration testing, not a single agent. It lets an AI commander read the board, decide, and dispatch while general, scout, and soldier agents work in parallel in tmux sessions, with a zero-strategy watchdog keeping the run alive. Knowledge is written to a layered fact-intent graph that survives individual agent sessions. The README says agents and models can be swapped behind each role and that the project was designed for competition scenarios.

Key Features

  • Commander, general, scout, and soldier division of labor, with a watchdog process for keep-alive and a commander that does not execute attacks itself.
  • Layered fact-intent graph with title, summary, and evidence-document layers for shared memory and context control.
  • Create, Language, and History capabilities: spawn new AI sessions via tmux, type into each other's input boxes, and persist knowledge in the graph.
  • Model tiering: commander and generals on GLM-5.3, soldiers and scouts on DeepSeek V4.1 Flash.
  • Swappable agent CLI and model per role, with role composition defined in the doctrine.
  • Emergent roles and practices reported by the project, including a signalman, performance reviews, and inherited lessons.

Use Cases

  • Competition CTF scenarios such as the Tencent Intelligent Attack-Defense Challenge.
  • Authorized penetration-testing campaigns where a commander coordinates parallel agents against a target.
  • Forking and replacing the competition doctrine for other long-horizon cooperative work such as office, research, or engineering.
  • Building on the nvwabase foundation for general-purpose multi-agent work with Create, Language, and History.

Getting Started

  • Run bash install.sh to symlink the sapper CLI; the install is stdlib-only with zero dependencies.
  • Run sapper setup with a goal and --agents to initialize the board and ready-to-work frontier.
  • Run sapper status to view the board and frontier.
  • For the full legion, build with docker build -f docker/Dockerfile.commander -t sapper:latest . or load the pre-built image from the v18-champion release.

Deployment & Requirements

  • The full legion requires Docker; options are building from docker/Dockerfile.commander or loading the pre-built image (~1.2GB, full Kali toolchain plus sapper and offline KB).
  • Configure model gateways, key pool, and budget through environment variables as documented in docker/ENV.md.
  • The sapper CLI install is stdlib-only with zero dependencies.
  • tmux is used to run AI sessions in panes.

Before You Adopt

  • License: MIT. Review its terms before using, modifying, or distributing the project.
  • Use is restricted to authorized security testing.
  • The project is explicitly designed for competition scenarios.
  • The README offers forking the project as an option for using the mechanism outside its competition design.

Comments

Sign in to leave a comment.

More like sapper-v2

Favicon of Poki

Poki

Free ListingStars: 0.5K

Let AI agents operate a real iPhone

Agent Frameworks

Poki is an open-source local MCP server and agent that lets AI agents operate a real iPhone from a Mac without jailbreak or extra hardware. Verified runs compile into routes so similar tasks take a shorter path.

Favicon of Rivet

Rivet

Free ListingStars: 6.2K

The orchestrator for agentic workloads.

Agent Frameworks

Rivet is a fast, high-density, scalable orchestrator for agentic workloads. It runs agents, workflows, and sandboxes as durable Actors, providing stateful primitives for AI agents, collaborative apps, and durable execution.

Favicon of Omnigent

Omnigent

Free ListingStars: 10.2K

The open-source meta-harness for all your AI agents.

Agent Frameworks

Open-source meta-harness for AI agents: a common layer over Claude Code, Codex, Cursor, Pi, and custom agents. Swap harnesses without rewriting, enforce policies and sandboxing, collaborate in real time from any device.