Move faster than the threats, powered by AI.

Desktop AI that calls your tools, keeps your context, and doesn’t quit when the work gets offensive.

Start using Hacker Sidekick now to accelerate your cybersecurity work

Windows
Linux
macOS

May 2026 update

What’s new

Finish engagements faster, with less context-switching.

  • Model routingNew

    Get quick answers for triage and deeper reasoning for exploit work—without choosing models yourself.

  • Workspace indexingNew

    Stop pasting file paths and log snippets. The agent already knows what’s in your workspace.

  • Threat intel MCPNew

    Pivot from a finding to Shodan, VirusTotal, MITRE, or NVD without opening another browser tab.

  • Auto top-upNew

    Keep a long engagement moving when you burn through your monthly token pool.

What you can do with it

Tackle work generic AI won’t

Stay productive when chatbots refuse the mission.

  • Analyze malware, develop exploits, and run red-team workflows
  • Get useful answers on offensive tasks, not hand-waving refusals
  • Keep moving when generic models say no

Delegate the busywork

Turn a prompt into a finished step, not another to-do.

  • Let agents run multi-step tasks across your machine
  • Carry context from recon through exploitation to reporting
  • Go from analysis to action without manual glue work

Work in your real lab

You bring the environment; we bring the AI.

  • Run Hacker Sidekick on Kali, WSL, Linux, or Windows
  • Use the tooling and context you’ve already built
  • Connect your own MCP servers when you need them
Your data stays yours Prompts, code, and engagement context are not used to train our models.

From plan to findings

Run the engagement on your machine—ROE, tooling, evidence, and write-ups in one place.

Why operators switch

When the job is exploitation, triage, or review, you need finished work—not another chatbot that says no.

What you need Generic commercial AI Hacker Sidekick
Work on offensive security tasks Often blocked or sanitized Built to help you get the work done
Go deep on hard problems Small local models or shallow cloud answers Up to 1.5T-parameter frontier-class models when you need them
Run tools on your machine Browser-only chat Desktop app with filesystem and shell access
Keep client data out of model training Often used to improve models We do not train our models on your data
Meet stricter privacy requirements Shared infrastructure Single-tenant private inference options
Automate multi-step workflows Manual copy-paste between steps Agents that call tools and carry context forward
Get the right answer faster One model for everything Auto-routed by task
Stop re-explaining your repo Paste files into chat Workspace indexing (hsk-emb)
Investigate without tab chaos Jump between browser tabs Threat intel built into the editor
Finish long engagements Hard stop when limits hit Auto top-up (optional)

Where it helps most

Run better pentests

Generate attack plans, develop payloads, and keep a live audit trail—so engagements stay reproducible and defensible.

Connect the dots faster

Turn pcaps, logs, and SIEM exports into a coherent narrative and surface the vulnerabilities easy to miss in siloed tooling.

Triage under pressure

Extract IoCs faster, spin up analysis environments, and move malicious-domain investigations forward when seconds matter.

The problem

Too many tools. Too much context-switching. Not enough finished work.

Security operators spend their days stitching together scanners, chat tabs, notes, and reports—while models built for everyone else refuse or sanitize the work that actually matters. You lose time explaining context, re-running steps, and copying output between tools instead of shipping findings.

The payoff

One operator. The output of a team.

Hacker Sidekick is built to execute the mission with you—running tools, carrying context, and moving work forward at machine speed so you can spend your time on judgment calls, creative attack paths, and the findings that actually matter.