Coding Free, open source (AGPL-3.0) — you pay for the underlying AI agent's API usage

T3MP3ST

Open-source multi-agent framework that turns AI coding agents like Claude and Codex into autonomous red-teaming tools for vulnerability hunting.

Updated 2026-07-05

7.8
AI Score / 10
T3MP3ST Visit
Quick answer

Yes. T3MP3ST is free to use.

Listed pricing: Free, open source (AGPL-3.0) — you pay for the underlying AI agent's API usage.

Pricing not re-verified Is it free? Pricing Is it worth it?
Best for
Security researchers and bug-bounty hunters who want to point AI coding agents they already use at authorized targets for autonomous vulnerability hunting.

Overview

T3MP3ST (a leetspeak rendering of "tempest") is an open-source, multi-agent offensive-security framework that repurposes general-purpose AI coding agents — Anthropic's Claude Code, OpenAI's Codex, and similar — as autonomous red-teaming operators for finding vulnerabilities in code. Rather than shipping its own model, it acts as an orchestration layer: it spins up and coordinates multiple agent instances, assigns them roles in a vuln-hunting loop (reconnaissance, exploitation, verification), and drives them toward discovering and confirming security bugs with minimal human babysitting.

It comes from elder-plinius (known as "Pliny"), one of the more visible names in the AI red-teaming and jailbreak scene, and the project follows that lineage — it's aimed squarely at security researchers, bug-bounty hunters, and offensive-security engineers who already live in the terminal and want to point capable coding agents at real targets. The July 2026 launch leaned on claimed benchmarks against recent 2026 CVEs and demonstrated wiring into existing agent CLIs, which is the pitch that made it trend: you bring an agent you already pay for, and T3MP3ST turns it into a semi-autonomous vuln scanner.

The important framing: this is a GitHub framework, not a hosted product. It's free under AGPL-3.0, but "free" only covers the orchestration code — you still pay whatever your underlying agent's API or subscription costs, and those costs scale with how many agents you fan out. It's also unambiguously dual-use tooling: legitimate for authorized pentests, bug bounties, and CTF/research work, and off-limits for hitting systems you don't own or have permission to test.

Is T3MP3ST free?

Yes. T3MP3ST is free to use.

What the free tier covers: Entire project is free and open source under AGPL-3.0; the only real cost is the token/subscription spend of whatever AI agent you plug in.

Listed pricing: Free, open source (AGPL-3.0) — you pay for the underlying AI agent's API usage.

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

T3MP3ST pricing

Open Source Free (AGPL-3.0)

Full framework on GitHub. Self-hosted, no paid tiers. You supply and pay for the underlying AI agent (e.g. Claude Code, Codex) plus its API/subscription costs.

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

Is T3MP3ST worth it?

Worth it for Security researchers and bug-bounty hunters who want to point AI coding agents they already use at authorized targets for autonomous vulnerability hunting.

You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 7.8/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with T3MP3ST. How we verify.

Worth it if

The strengths recorded against this entry.

  • Free and fully open source (AGPL-3.0) — the orchestration layer is inspectable, which matters for a tool aimed at sensitive targets
  • Agent-agnostic: runs on coding agents you may already pay for (Claude Code, Codex) instead of a weaker bundled model
  • Multi-agent approach can parallelize recon and exploitation work that would be tedious to drive by hand in a single session
  • Comes from a well-known red-teaming researcher, so the workflow is designed by someone fluent in offensive security

Not worth it if

Any one of these blocks your use case.

  • Early-stage GitHub framework, not a polished product — expect setup friction, thin docs, and self-reported benchmarks rather than independent validation
  • Real cost is hidden: fanning out multiple agents can burn through API tokens or agent subscription limits quickly
  • AGPL-3.0 copyleft complicates embedding it in closed-source or commercial security products
  • Dual-use by nature — only appropriate for authorized testing, and autonomous runs still surface false positives that need expert triage

What sets T3MP3ST apart

  • Agent-agnostic: wraps existing agents like Claude Code and Codex instead of shipping its own model
  • Multi-agent orchestration splits recon, exploitation, and verification across roles
  • Fully open source under AGPL-3.0, inspectable for use on sensitive targets
  • Free framework, but real cost is the underlying agent's API/subscription usage

Key features

Multi-agent orchestration

Coordinates several AI agent instances working in parallel on a target, splitting the vuln-hunting workflow across specialized roles instead of relying on a single chat session.

Agent-agnostic design

Wraps existing coding agents such as Claude Code and Codex rather than shipping its own model, so you use (and pay for) whichever capable agent you already have access to.

Autonomous vuln hunting

Drives the agents through a recon-to-exploit loop aimed at discovering and confirming real vulnerabilities with limited human intervention, marketed against recent 2026 CVEs.

Fully open source

Released on GitHub under AGPL-3.0, so the orchestration logic is fully inspectable and modifiable — important for a security tool you're pointing at sensitive targets.

How it compares

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Related reading

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