AIPentest / CyberStrikeAI
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
Why this job: matched by what the repo talks about: memory, system, every, native
What it does
- Agentic execution translates natural-language intent into governed, auditable security actions.
- Eino orchestration supports single-agent execution plus Deep, Plan-Execute, and Supervisor multi-agent modes.
- Graph workflows combine Agents, tools, conditions, approvals, and outputs into reusable flows.
- Role-based testing provides focused prompts and tool policies for common security scenarios.
- Security tools include 100+ curated YAML recipes with custom extensions and role-scoped access.
Get started
git clone https://github.com/Ed1s0nZ/CyberStrikeAI.git
cd CyberStrikeAI
chmod +x run.sh && ./run.sh - Maintenance
- Active
- Last commit today
- Stars
- 8,578
- +152 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.7.24
- Released 27 days ago
- Built with
- Go
- 46% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 79% closed
- 52 still open
- Pull requests
- 47 merged
- 23 waiting
- Releases
- 151
- 30+ in the last year
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
More: languages, topics and project record
Languages
- Go 46%
- JavaScript 34%
- CSS 12%
- HTML 6%
Topics
- ai
- ai-agents
- ai-cybersecurity
- ai-penetration-testing
- ai-security-tool
- ctf-tools
- mcp
- ai-hacking
- pentesting-tools
Project record
- JobAgent memory
- StatusListed
- Commits2,443
- Forks1,877
- Watching51
- Stars in 28 days+775
- CreatedNov 8, 2025
- First seen by usNov 7, 2026
- CheckedNov 12, 2026