T3MP3ST is an open-source framework that transforms existing AI coding agents into autonomous red-team swarms. Released by Pliny the Liberator under AGPL-3.0, it automates the full kill chain from reconnaissance to exploitation and reporting within a single War Room interface. Public benchmarks on CTF and CVE tasks demonstrate its practical value for authorized security research.
📑Table of Contents
T3MP3ST Overview and Background
T3MP3ST repurposes agents such as Claude Code and Codex as “hacker swarms” without requiring new API keys or cloud spend in keyless mode. The project emphasizes zero-day hunting accessibility and publishes all source code and verification artifacts on GitHub.
Key characteristics include:
- Reuse of existing user agents (no additional credentials needed)
- End-to-end kill-chain automation
- Real-time War Room UI for mission control
- Evidence Vault with OPSEC controls
According to the official README, the framework also supports local models via Ollama, enabling cost-effective large-scale testing. The announcement on X highlighted strong results on XBOW and Cybench suites.
Kill Chain and 8-Operator Architecture
The core design consists of eight specialized operators that collaborate through an Evidence Vault and OPSEC layer.
| Operator | Role | Status |
|---|---|---|
| Recon | Target discovery and information gathering | Stable |
| Scanner | Vulnerability scanning | Stable |
| Exploiter | Exploit execution | Experimental |
| Infiltrator | Intrusion and privilege escalation | Experimental |
| Exfiltrator | Data exfiltration | Experimental |
| Ghost | Trace concealment | Planned |
| Coordinator | Task orchestration | Stable |
| Analyst | Report generation | Stable |
The table summarizes the status matrix from the repository. While Recon and Coordinator modules are production-ready, later-stage operators remain experimental. Source: https://github.com/elder-plinius/T3MP3ST (as of July 2026)
Benchmark Results and Reproducibility
The project publishes the following reproducible results:
- XBEN (104-challenge suite): 90.1% pass@1 mean (Wilson-95 CI 86.2–92.9)
- Cybench (40 tasks, hint-free): 23/40 (58%) with Opus 4.8
- CVE-Zero (10 post-cutoff CVEs across 7 languages): 8/10 exact file/line/CWE match for single-agent mode
All headline numbers can be re-derived with npm run verify-claims. The repository contains committed JSON artifacts that independently verify all 24 claims.
Installation and War Room Usage
Setup is straightforward:
- Clone the repository
- Run
npm install && npm run server - Open http://127.0.0.1:3333/ui/ in a browser
Once a local agent is connected to the War Room, users can create missions, monitor execution, and generate reports through the GUI. Keyless mode allows fully local operation with Ollama or similar backends.
Supported Domains and Current Status
T3MP3ST targets Web, CTF, CVE, Cloud, DeFi, Binary, and Mobile environments. Stable components currently include the Recon engine, Mission engine, Arsenal (35+ tools), Egress-scope containment, and Coordinated-disclosure pipeline. Cloud, Mobile, and Binary modules are either experimental or planned.
Usage Caveats and Authorization Requirements
Because T3MP3ST is an offensive security tool, it must only be used against systems with explicit authorization. The AGPL-3.0 license does not grant permission for unauthorized testing. Security teams should evaluate internal policy alignment before adoption.
Frequently Asked Questions (FAQ)
Summary and Recommended Next Actions
T3MP3ST offers a practical way to leverage existing AI agents for red-team automation. Its reproducible benchmarks and convenient War Room UI are clear strengths, yet its offensive nature demands strict authorization controls.
Recommended next steps for readers:
- Clone https://github.com/elder-plinius/T3MP3ST and test locally
- Run
npm run verify-claimsto reproduce the published benchmarks - Review internal security policies for alignment
- Compare with similar frameworks such as Arbor
Related articles:
- Arbor: Hypothesis-Tree AI Optimization Framework Beats Claude Code & Codex by 2.5x [2026]
- Google Agent Development Kit (ADK) Open Source Release — Production-Grade Multi-Agent Framework
- Meta Restricts Claude Code and Codex for Applied AI Engineers to Prevent Distillation into Llama Models
Related new article:
- Codex Plugin for Claude Code Review and Rescue Setup – This published update adds current operational context for T3MP3ST: Turn Claude Code & Codex into Autonomous Red-Team Hacker Swarms (Open Source).
- Keystroke n8n Alternative for Claude Code and Cursor: Setup and Fit Check – This published update adds current operational context for T3MP3ST: Turn Claude Code & Codex into Autonomous Red-Team Hacker Swarms (Open Source).
- Docker Sandboxes (sbx) Guide: Run Claude Code Safely in a microVM – This published update adds current operational context for T3MP3ST: Turn Claude Code & Codex into Autonomous Red-Team Hacker Swarms (Open Source).
Author
krona23
Over 20 years in the IT industry, serving as Division Head and CTO at multiple companies running large-scale web services in Japan. Experienced across Windows, iOS, Android, and web development. Currently focused on AI-native transformation. At DevGENT, sharing practical guides on AI code editors, automation tools, and LLMs in three languages.
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