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martian56 / redcell

AI red-team platform. Autonomous LLM agents run a penetration test end to end inside a Kali container and write the report. LangGraph plan/act engine, provider-agnostic models via LiteLLM, PDF/JSON/SARIF output. FastAPI + React.

Why this job: says: red team; topics: security-tools, security, pentesting, red-team, cybersecurity

REDCELL operator console mid-run: the multi-agent graph, verified critical findings, live terminals with sqlmap, a caught reverse shell, and the agent asking the operator before it dumps a user table

What it does

  • Multi-agent engine. A LangGraph plan/act loop. The orchestrator delegates objectives to executor agents that run shell tools and record findings, loot, and hosts as they work.
  • Structured tools. Dedicated tools for nmap, nuclei, directory and vhost discovery, and Metasploit search and run. Each parses its own output into the attack surface or findings, so a scan records hosts and vulnerabilities without a follow-u
  • Real execution, local or remote. Tools run in a Kali container over docker exec. Pick localhost or a saved server per session; a remote server runs the same container over SSH with host networking.
  • Agent browser. For login flows and JavaScript-heavy apps that shell tools cannot reach, an agent drives a real Chromium in the Kali container. You watch it live and can take control to click through something yourself, then hand it back.
  • Reverse shells. An agent opens a listener, catches the shell, and gives you an interactive terminal on it. You can also open your own terminals and run commands yourself.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 34 days ago
Stars
356
+2 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.12.17
Released 34 days ago
Built with
Python
55% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
96% closed
3 still open
Pull requests
152 merged
1 waiting
Releases
40
30+ in the last year

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More: languages, topics and project record

Languages

  • Python 55%
  • TypeScript 39%
  • CSS 5%
  • Shell 1%

Topics

  • ai-agents
  • autonomous-agents
  • cybersecurity
  • fastapi
  • langgraph
  • litellm
  • llm
  • offensive-security
  • penetration-testing
  • pentesting
  • python
  • react

Project record

  • JobAI security
  • StatusListed
  • Commits3,044
  • Forks74
  • Watching3
  • Stars in 28 days+17
  • CreatedAug 2, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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